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August 11, 2026 19:38
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Solution draft log for https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/502
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| # Solve.mjs Log - 2026-08-11T19:21:56.380Z | |
| [2026-08-11T19:21:56.388Z] [INFO] 📁 Log file: /home/box/solve-2026-08-11T19-21-56-380Z.log | |
| [2026-08-11T19:21:56.396Z] [INFO] (All output will be logged here) | |
| [2026-08-11T19:21:59.993Z] [INFO] | |
| [2026-08-11T19:21:59.997Z] [INFO] 🚀 solve v2.11.12 | |
| [2026-08-11T19:22:00.006Z] [INFO] 🔧 Raw command executed: | |
| [2026-08-11T19:22:00.011Z] [INFO] /home/box/.nvm/versions/node/v20.20.2/bin/node /home/box/.bun/bin/solve https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 --tool claude --attach-logs --verbose --no-tool-check --disable-report-issue --language en | |
| [2026-08-11T19:22:00.015Z] [INFO] | |
| [2026-08-11T19:22:00.197Z] [INFO] 🧭 Execution context: docker container (indicators: /.dockerenv) — per-task disk usage is scoped to this container. | |
| [2026-08-11T19:22:00.203Z] [INFO] 📈 Resource usage (solve start): | |
| [2026-08-11T19:22:00.203Z] [INFO] CPU load: 1.98 3.38 4.09 (6 CPUs) | |
| [2026-08-11T19:22:00.203Z] [INFO] Memory: 10.6 GB available / 11.7 GB total (1.1 GB used) | |
| [2026-08-11T19:22:00.203Z] [INFO] Process RSS: 93 MB, heap 19 MB | |
| [2026-08-11T19:22:00.203Z] [INFO] Disk (/): 132.1 GB available / 192.7 GB total (31.4% used) | |
| [2026-08-11T19:22:00.203Z] [INFO] 📈 [RESOURCES] phase=solve_start ts=2026-08-11T19%3A22%3A00.200Z load1=1.98 load5=3.38 load15=4.09 cpuCount=6 memTotalBytes=12541493248 memAvailableBytes=11355676672 memUsedBytes=1185816576 processRssBytes=97214464 diskPath=%2F diskTotalBytes=206900281344 diskAvailableBytes=141839159296 diskUsedBytes=65044344832 diskUsedPercent=31.437533293565167 mem=10.6%20GB%20available%20%2F%2011.7%20GB%20total disk=132.1%20GB%20available%20%2F%20192.7%20GB%20total | |
| [2026-08-11T19:22:00.215Z] [INFO] | |
| [2026-08-11T19:22:00.218Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED | |
| [2026-08-11T19:22:00.222Z] [INFO] | |
| [2026-08-11T19:22:00.225Z] [INFO] This option will upload the complete solution draft log file to the Pull Request. | |
| [2026-08-11T19:22:00.227Z] [INFO] The log may contain sensitive information such as: | |
| [2026-08-11T19:22:00.231Z] [INFO] • API keys, tokens, or secrets | |
| [2026-08-11T19:22:00.235Z] [INFO] • File paths and directory structures | |
| [2026-08-11T19:22:00.238Z] [INFO] • Command outputs and error messages | |
| [2026-08-11T19:22:00.240Z] [INFO] • Internal system information | |
| [2026-08-11T19:22:00.242Z] [INFO] | |
| [2026-08-11T19:22:00.249Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log | |
| [2026-08-11T19:22:00.262Z] [INFO] might contain sensitive data that should not be shared publicly. | |
| [2026-08-11T19:22:00.268Z] [INFO] | |
| [2026-08-11T19:22:00.279Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort) | |
| [2026-08-11T19:22:00.289Z] [INFO] | |
| [2026-08-11T19:22:01.297Z] [STDOUT] Countdown: 5 seconds remaining... | |
| [2026-08-11T19:22:02.301Z] [STDOUT] Countdown: 4 seconds remaining... | |
| [2026-08-11T19:22:03.303Z] [STDOUT] Countdown: 3 seconds remaining... | |
| [2026-08-11T19:22:04.305Z] [STDOUT] Countdown: 2 seconds remaining... | |
| [2026-08-11T19:22:05.308Z] [STDOUT] Countdown: 1 seconds remaining... Proceeding with log attachment enabled. | |
| [2026-08-11T19:22:05.308Z] [INFO] | |
| [2026-08-11T19:22:05.468Z] [INFO] 💾 Disk space check: 135269MB available (10240MB required) ✅ | |
| [2026-08-11T19:22:05.476Z] [INFO] 🧠 Memory check: 11313MB available, swap: 4095MB (452MB used), total: 14956MB (256MB required) ✅ | |
| [2026-08-11T19:22:05.514Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-08-11T19:22:05.516Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-08-11T19:22:05.519Z] [INFO] 🎭 Checking Playwright MCP preflight for Claude Code... | |
| [2026-08-11T19:22:09.772Z] [STDOUT] Checking MCP server health… | |
| [2026-08-11T19:22:16.864Z] [STDOUT] playwright: npx -y @playwright/mcp@latest --isolated --headless --no-sandbox --timeout-action=600000 --viewport-size 1920x1080 - ✔ Connected | |
| [2026-08-11T19:22:17.529Z] [INFO] 🎭 Playwright MCP probe: 'mcp list' exit=0, playwright rows=1 [playwright: npx -y @playwright/mcp@latest --isolated --headless --no-sandbox --timeout-action=600000 --viewport-size 1920x1080 - ✔ Connected] | |
| [2026-08-11T19:22:17.534Z] [INFO] 🎭 Playwright MCP reported as connected by mcp list | |
| [2026-08-11T19:22:17.544Z] [INFO] 🎭 Playwright MCP ready for Claude Code | |
| [2026-08-11T19:22:17.549Z] [INFO] 📋 URL validation: | |
| [2026-08-11T19:22:17.555Z] [INFO] Input URL: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 | |
| [2026-08-11T19:22:17.560Z] [INFO] Is Issue URL: true | |
| [2026-08-11T19:22:17.564Z] [INFO] Is PR URL: false | |
| [2026-08-11T19:22:17.567Z] [INFO] 🔍 --auto-accept-invite: Checking for pending invitation to G-Ivan-A/hybrid-Intelligence-lab... | |
| [2026-08-11T19:22:18.043Z] [INFO] Found 7 total pending repo invitation(s) | |
| [2026-08-11T19:22:18.047Z] [INFO] No pending repository invitation found for G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:22:18.563Z] [INFO] Found 0 total pending org invitation(s) | |
| [2026-08-11T19:22:18.567Z] [INFO] No pending organization invitation found for G-Ivan-A | |
| [2026-08-11T19:22:18.570Z] [INFO] ℹ️ --auto-accept-invite: No pending invitation found for G-Ivan-A/hybrid-Intelligence-lab or organization G-Ivan-A | |
| [2026-08-11T19:22:18.575Z] [INFO] 🔍 Checking repository access for auto-fork... | |
| [2026-08-11T19:22:19.038Z] [STDOUT] {"admin":false,"maintain":false,"pull":true,"push":false,"triage":false} | |
| [2026-08-11T19:22:19.657Z] [INFO] Repository visibility: public | |
| [2026-08-11T19:22:19.659Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode | |
| [2026-08-11T19:22:19.662Z] [INFO] ✅ Repository access check: Skipped (fork mode enabled) | |
| [2026-08-11T19:22:20.091Z] [STDOUT] G-Ivan-A | |
| [2026-08-11T19:22:20.587Z] [STDOUT] G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:22:21.569Z] [INFO] Repository visibility: public | |
| [2026-08-11T19:22:21.572Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-08-11T19:22:21.576Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #499... | |
| [2026-08-11T19:22:22.739Z] [STDOUT] {"name":"G-Ivan-A-hybrid-Intelligence-lab"} | |
| [2026-08-11T19:22:22.750Z] [INFO] 🔍 Fork mode: Checking for existing branches in konard/G-Ivan-A-hybrid-Intelligence-lab... | |
| [2026-08-11T19:22:24.716Z] [STDOUT] [] | |
| [2026-08-11T19:22:25.250Z] [STDOUT] [] | |
| [2026-08-11T19:22:25.260Z] [INFO] 📝 No existing PRs found for issue #499 - creating new PR | |
| [2026-08-11T19:22:25.263Z] [INFO] 📝 Issue mode: Working with issue #499 | |
| [2026-08-11T19:22:25.266Z] [INFO] | |
| [2026-08-11T19:22:25.266Z] [INFO] Creating temporary directory: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:22:25.272Z] [INFO] | |
| [2026-08-11T19:22:25.272Z] [INFO] 🍴 Fork mode: ENABLED | |
| [2026-08-11T19:22:25.273Z] [INFO] Checking fork status... | |
| [2026-08-11T19:22:25.273Z] [INFO] | |
| [2026-08-11T19:22:25.742Z] [INFO] 🔍 Detecting fork conflicts... | |
| [2026-08-11T19:22:26.181Z] [STDOUT] {"fork":false,"source":null} | |
| [2026-08-11T19:22:27.218Z] [INFO] ✅ No fork conflict: Safe to proceed | |
| [2026-08-11T19:22:27.862Z] [STDOUT] {"name":"G-Ivan-A-hybrid-Intelligence-lab"} | |
| [2026-08-11T19:22:27.871Z] [INFO] ✅ Fork exists: konard/G-Ivan-A-hybrid-Intelligence-lab | |
| [2026-08-11T19:22:27.875Z] [INFO] 🔍 Validating fork parent... | |
| [2026-08-11T19:22:28.339Z] [STDOUT] {"fork":true,"parent":"G-Ivan-A/hybrid-Intelligence-lab","source":"G-Ivan-A/hybrid-Intelligence-lab"} | |
| [2026-08-11T19:22:28.349Z] [INFO] ✅ Fork parent validated: G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:22:28.354Z] [INFO] | |
| [2026-08-11T19:22:28.354Z] [INFO] 📥 Cloning repository: konard/G-Ivan-A-hybrid-Intelligence-lab | |
| [2026-08-11T19:22:29.009Z] [STDOUT] Cloning into '/tmp/gh-issue-solver-1786476145265'... | |
| [2026-08-11T19:22:31.702Z] [STDOUT] From https://github.com/G-Ivan-A/hybrid-Intelligence-lab | |
| * [new branch] main -> upstream/main | |
| [2026-08-11T19:22:31.768Z] [STDOUT] true | |
| [2026-08-11T19:22:31.771Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:22:31.782Z] [INFO] 🧹 Ignoring AI tool scratch directories in this workspace: .formal-ai/, .playwright-mcp/ | |
| [2026-08-11T19:22:31.806Z] [STDOUT] origin https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git (fetch) | |
| origin https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git (push) | |
| upstream https://github.com/G-Ivan-A/hybrid-Intelligence-lab.git (fetch) | |
| upstream https://github.com/G-Ivan-A/hybrid-Intelligence-lab.git (push) | |
| [2026-08-11T19:22:31.809Z] [INFO] 🔗 Setting upstream: G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:22:31.829Z] [STDOUT] https://github.com/G-Ivan-A/hybrid-Intelligence-lab.git | |
| [2026-08-11T19:22:31.831Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote | |
| [2026-08-11T19:22:31.836Z] [INFO] 🔄 Fetching upstream... | |
| [2026-08-11T19:22:32.296Z] [INFO] ✅ Upstream fetched: Successfully | |
| [2026-08-11T19:22:32.300Z] [INFO] 🔄 Syncing default branch... | |
| [2026-08-11T19:22:32.324Z] [STDOUT] main | |
| [2026-08-11T19:22:32.774Z] [STDOUT] main | |
| [2026-08-11T19:22:32.782Z] [INFO] ℹ️ Default branch: main | |
| [2026-08-11T19:22:32.857Z] [STDOUT] HEAD is now at 7d84ccb Merge pull request #494 from konard/issue-487-f98acbd2274a | |
| [2026-08-11T19:22:32.860Z] [INFO] ✅ Default branch synced: with upstream/main | |
| [2026-08-11T19:22:33.367Z] [INFO] 🔄 Pushing to fork: main branch | |
| [2026-08-11T19:22:35.378Z] [STDOUT] To https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git | |
| ff2f94e..7d84ccb main -> main | |
| [2026-08-11T19:22:35.390Z] [INFO] ✅ Fork updated: Default branch pushed to fork | |
| [2026-08-11T19:22:35.577Z] [INFO] ℹ️ gh auth setup-git could not write the global gitconfig: failed to set up git credential helper: failed to run git: error: could not write config file /home/box/.gitconfig: Device or resource busy | |
| [2026-08-11T19:22:35.637Z] [INFO] 🔑 Configured the gh credential helper for this clone (the global gitconfig is not writable) | |
| [2026-08-11T19:22:35.665Z] [INFO] | |
| [2026-08-11T19:22:35.665Z] [INFO] 📊 [DISK] phase=after_clone bytes=17576363 path=/tmp/gh-issue-solver-1786476145265 size=17 MB | |
| [2026-08-11T19:22:35.670Z] [INFO] 📈 Resource usage (after repository clone): | |
| [2026-08-11T19:22:35.670Z] [INFO] CPU load: 1.95 3.22 4.01 (6 CPUs) | |
| [2026-08-11T19:22:35.670Z] [INFO] Memory: 10.2 GB available / 11.7 GB total (1.5 GB used) | |
| [2026-08-11T19:22:35.670Z] [INFO] Process RSS: 82 MB, heap 22 MB | |
| [2026-08-11T19:22:35.670Z] [INFO] Disk (/): 132.1 GB available / 192.7 GB total (31.4% used) | |
| [2026-08-11T19:22:35.670Z] [INFO] 📈 [RESOURCES] phase=after_clone ts=2026-08-11T19%3A22%3A35.668Z load1=1.95 load5=3.22 load15=4.01 cpuCount=6 memTotalBytes=12541493248 memAvailableBytes=10967130112 memUsedBytes=1574363136 processRssBytes=85663744 diskPath=%2F diskTotalBytes=206900281344 diskAvailableBytes=141870510080 diskUsedBytes=65012994048 diskUsedPercent=31.422380687780223 mem=10.2%20GB%20available%20%2F%2011.7%20GB%20total disk=132.1%20GB%20available%20%2F%20192.7%20GB%20total | |
| [2026-08-11T19:22:35.690Z] [STDOUT] main | |
| [2026-08-11T19:22:35.711Z] [STDOUT] 7d8…ed1 | |
| [2026-08-11T19:22:35.714Z] [INFO] | |
| [2026-08-11T19:22:35.714Z] [INFO] 📌 Default branch: main | |
| [2026-08-11T19:22:35.752Z] [INFO] | |
| [2026-08-11T19:22:35.752Z] [INFO] 🌿 Creating branch: issue-499-3ed54f8116eb from main (default) | |
| [2026-08-11T19:22:35.781Z] [STDERR] Switched to a new branch 'issue-499-3ed54f8116eb' | |
| [2026-08-11T19:22:35.782Z] [STDOUT] branch 'issue-499-3ed54f8116eb' set up to track 'origin/main'. | |
| [2026-08-11T19:22:35.784Z] [INFO] 🔍 Verifying: Branch creation... | |
| [2026-08-11T19:22:35.804Z] [STDOUT] issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:35.806Z] [INFO] ✅ Branch created: issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:35.808Z] [INFO] ✅ Current branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:35.810Z] [INFO] Branch operation: Create new branch | |
| [2026-08-11T19:22:35.814Z] [INFO] Branch verification: Matches expected | |
| [2026-08-11T19:22:35.824Z] [INFO] | |
| [2026-08-11T19:22:35.824Z] [INFO] 🚀 Auto PR creation: ENABLED | |
| [2026-08-11T19:22:35.826Z] [INFO] Creating: Initial commit and draft PR... | |
| [2026-08-11T19:22:35.829Z] [INFO] | |
| [2026-08-11T19:22:35.834Z] [INFO] Using .gitkeep mode (--claude-file=false, --gitkeep-file=true, --auto-gitkeep-file=true) | |
| [2026-08-11T19:22:35.837Z] [INFO] 📝 Creating: .gitkeep (default) | |
| [2026-08-11T19:22:35.844Z] [INFO] Issue URL from argv['issue-url']: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 | |
| [2026-08-11T19:22:35.845Z] [INFO] Issue URL from argv._[0]: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 | |
| [2026-08-11T19:22:35.849Z] [INFO] Final issue URL: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 | |
| [2026-08-11T19:22:35.858Z] [INFO] ✅ File created: .gitkeep | |
| [2026-08-11T19:22:35.860Z] [INFO] 📦 Adding file: To git staging | |
| [2026-08-11T19:22:35.922Z] [STDOUT] A .gitkeep | |
| [2026-08-11T19:22:35.923Z] [INFO] Git status after add: A .gitkeep | |
| [2026-08-11T19:22:35.929Z] [INFO] 📝 Creating commit: With .gitkeep file | |
| [2026-08-11T19:22:35.966Z] [STDOUT] [issue-499-3ed54f8116eb f0a5326] Initial commit with task details | |
| 1 file changed, 1 insertion(+) | |
| create mode 100644 .gitkeep | |
| [2026-08-11T19:22:35.967Z] [INFO] ✅ Commit created: Successfully with .gitkeep | |
| [2026-08-11T19:22:35.970Z] [INFO] Commit output: [issue-499-3ed54f8116eb f0a5326] Initial commit with task details | |
| [2026-08-11T19:22:35.970Z] [INFO] 1 file changed, 1 insertion(+) | |
| [2026-08-11T19:22:35.970Z] [INFO] create mode 100644 .gitkeep | |
| [2026-08-11T19:22:35.991Z] [STDOUT] f0a…ffc | |
| [2026-08-11T19:22:35.994Z] [INFO] Commit hash: f0a5326... | |
| [2026-08-11T19:22:36.024Z] [STDOUT] f0a5326 Initial commit with task details | |
| [2026-08-11T19:22:36.032Z] [INFO] Latest commit: f0a5326 Initial commit with task details | |
| [2026-08-11T19:22:36.066Z] [INFO] Git status: clean | |
| [2026-08-11T19:22:36.088Z] [STDOUT] origin https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git (fetch) | |
| origin https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git (push) | |
| upstream https://github.com/G-Ivan-A/hybrid-Intelligence-lab.git (fetch) | |
| upstream https://github.com/G-Ivan-A/hybrid-Intelligence-lab.git (push) | |
| [2026-08-11T19:22:36.090Z] [INFO] Remotes: origin https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git (fetch) | |
| [2026-08-11T19:22:36.115Z] [STDOUT] * issue-499-3ed54f8116eb f0a5326 [origin/main: ahead 1] Initial commit with task details | |
| main 7d84ccb [origin/main] Merge pull request #494 from konard/issue-487-f98acbd2274a | |
| [2026-08-11T19:22:36.117Z] [INFO] Branch info: * issue-499-3ed54f8116eb f0a5326 [origin/main: ahead 1] Initial commit with task details | |
| [2026-08-11T19:22:36.117Z] [INFO] main 7d84ccb [origin/main] Merge pull request #494 from konard/issue-487-f98acbd2274a | |
| [2026-08-11T19:22:36.137Z] [INFO] 📤 Pushing branch: To remote repository... | |
| [2026-08-11T19:22:36.143Z] [INFO] Push command: git push -u origin issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:38.024Z] [STDOUT] remote: | |
| remote: Create a pull request for 'issue-499-3ed54f8116eb' on GitHub by visiting: | |
| [2026-08-11T19:22:38.025Z] [STDOUT] remote: https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/pull/new/issue-499-3ed54f8116eb | |
| remote: | |
| [2026-08-11T19:22:38.027Z] [STDOUT] To https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git | |
| * [new branch] issue-499-3ed54f8116eb -> issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:38.048Z] [STDOUT] branch 'issue-499-3ed54f8116eb' set up to track 'origin/issue-499-3ed54f8116eb'. | |
| [2026-08-11T19:22:38.050Z] [INFO] Push exit code: 0 | |
| [2026-08-11T19:22:38.052Z] [INFO] Push output: remote: | |
| [2026-08-11T19:22:38.052Z] [INFO] remote: Create a pull request for 'issue-499-3ed54f8116eb' on GitHub by visiting: | |
| [2026-08-11T19:22:38.052Z] [INFO] remote: https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/pull/new/issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:38.052Z] [INFO] remote: | |
| [2026-08-11T19:22:38.052Z] [INFO] To https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git | |
| [2026-08-11T19:22:38.052Z] [INFO] * [new branch] issue-499-3ed54f8116eb -> issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:38.052Z] [INFO] branch 'issue-499-3ed54f8116eb' set up to track 'origin/issue-499-3ed54f8116eb'. | |
| [2026-08-11T19:22:38.055Z] [INFO] ✅ Branch pushed: Successfully to remote | |
| [2026-08-11T19:22:38.058Z] [INFO] Push output: remote: | |
| [2026-08-11T19:22:38.058Z] [INFO] remote: Create a pull request for 'issue-499-3ed54f8116eb' on GitHub by visiting: | |
| [2026-08-11T19:22:38.058Z] [INFO] remote: https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/pull/new/issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:38.058Z] [INFO] remote: | |
| [2026-08-11T19:22:38.058Z] [INFO] To https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab.git | |
| [2026-08-11T19:22:38.058Z] [INFO] * [new branch] issue-499-3ed54f8116eb -> issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:38.058Z] [INFO] branch 'issue-499-3ed54f8116eb' set up to track 'origin/issue-499-3ed54f8116eb'. | |
| [2026-08-11T19:22:38.061Z] [INFO] Waiting for GitHub to sync... | |
| [2026-08-11T19:22:41.107Z] [STDOUT] 1 | |
| [2026-08-11T19:22:41.119Z] [INFO] Compare API check: 1 commit(s) ahead of main | |
| [2026-08-11T19:22:41.123Z] [INFO] GitHub compare API ready: 1 commit(s) found | |
| [2026-08-11T19:22:41.752Z] [STDOUT] issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:41.765Z] [INFO] Branch verified on GitHub: issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:42.190Z] [STDOUT] f0a…ffc | |
| [2026-08-11T19:22:42.198Z] [INFO] Remote commit SHA: f0a5326... | |
| [2026-08-11T19:22:42.200Z] [INFO] 📋 Getting issue: Title from GitHub... | |
| [2026-08-11T19:22:42.848Z] [STDOUT] analysis: валидация методологий исследований на основе всех завершённых кейсов хаба | |
| [2026-08-11T19:22:42.873Z] [INFO] Issue title: "analysis: валидация методологий исследований на основе всех завершённых кейсов хаба" | |
| [2026-08-11T19:22:42.879Z] [INFO] 👤 Getting user: Current GitHub account... | |
| [2026-08-11T19:22:43.408Z] [STDOUT] konard | |
| [2026-08-11T19:22:43.418Z] [INFO] Current user: konard | |
| [2026-08-11T19:22:43.852Z] [INFO] User is not a collaborator (will skip assignment) | |
| [2026-08-11T19:22:43.858Z] [INFO] User is not a collaborator (will skip assignment) | |
| [2026-08-11T19:22:43.864Z] [INFO] 🔄 Fetching: Latest main branch... | |
| [2026-08-11T19:22:44.363Z] [INFO] ✅ Base updated: Fetched latest main | |
| [2026-08-11T19:22:44.366Z] [INFO] 🔍 Checking: Commits between branches... | |
| [2026-08-11T19:22:44.388Z] [STDOUT] 1 | |
| [2026-08-11T19:22:44.391Z] [INFO] Commits ahead of origin/main: 1 | |
| [2026-08-11T19:22:44.393Z] [INFO] ✅ Commits found: 1 commit(s) ahead | |
| [2026-08-11T19:22:44.395Z] [INFO] 🔀 Creating PR: Draft pull request... | |
| [2026-08-11T19:22:44.398Z] [INFO] 🎯 Target branch: main (default) | |
| [2026-08-11T19:22:44.399Z] [INFO] PR Title: [WIP] analysis: валидация методологий исследований на основе всех завершённых кейсов хаба | |
| [2026-08-11T19:22:44.403Z] [INFO] Base branch: main | |
| [2026-08-11T19:22:44.405Z] [INFO] Head branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:44.411Z] [INFO] Assignee: konard | |
| [2026-08-11T19:22:44.414Z] [INFO] PR Body: | |
| [2026-08-11T19:22:44.414Z] [INFO] ## 🤖 AI-Powered Solution Draft | |
| [2026-08-11T19:22:44.414Z] [INFO] | |
| [2026-08-11T19:22:44.414Z] [INFO] This pull request is being automatically generated to solve issue G-Ivan-A/hybrid-Intelligence-lab#499. | |
| [2026-08-11T19:22:44.414Z] [INFO] | |
| [2026-08-11T19:22:44.414Z] [INFO] ### 📋 Issue Reference | |
| [2026-08-11T19:22:44.414Z] [INFO] Fixes G-Ivan-A/hybrid-Intelligence-lab#499 | |
| [2026-08-11T19:22:44.414Z] [INFO] | |
| [2026-08-11T19:22:44.414Z] [INFO] ### 🚧 Status | |
| [2026-08-11T19:22:44.414Z] [INFO] **Work in Progress** - The AI assistant is currently analyzing and implementing the solution draft. | |
| [2026-08-11T19:22:44.414Z] [INFO] | |
| [2026-08-11T19:22:44.414Z] [INFO] ### 📝 Implementation Details | |
| [2026-08-11T19:22:44.414Z] [INFO] _Details will be added as the solution draft is developed..._ | |
| [2026-08-11T19:22:44.414Z] [INFO] | |
| [2026-08-11T19:22:44.414Z] [INFO] --- | |
| [2026-08-11T19:22:44.414Z] [INFO] *This PR was created automatically by the AI issue solver* | |
| [2026-08-11T19:22:44.458Z] [STDERR] [use-m] use('command-stream') joined an in-flight load (alias command-stream-v-latest) | |
| [2026-08-11T19:22:45.095Z] [INFO] Command: cd "/tmp/gh-issue-solver-1786476145265" && gh pr create --draft --title "$(cat '/tmp/pr-title-1786476165078.txt')" --body-file "/tmp/pr-body-1786476164424.md" --base main --head konard:issue-499-3ed54f8116eb --repo G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:22:47.340Z] [INFO] gh pr create stdout: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/502 | |
| [2026-08-11T19:22:47.344Z] [INFO] 🔍 Verifying: PR creation... | |
| [2026-08-11T19:22:49.875Z] [STDOUT] {"number":502,"state":"OPEN","url":"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/502"} | |
| [2026-08-11T19:22:49.885Z] [INFO] ✅ Verification: PR exists on GitHub (attempt 1/5) | |
| [2026-08-11T19:22:49.888Z] [INFO] ✅ PR created: #502 | |
| [2026-08-11T19:22:49.893Z] [INFO] 📍 PR URL: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/502 | |
| [2026-08-11T19:22:49.898Z] [INFO] ℹ️ Note: Could not assign (no permission) | |
| [2026-08-11T19:22:49.903Z] [INFO] 🔗 Linking: Issue #499 to PR #502... | |
| [2026-08-11T19:22:50.376Z] [INFO] Issue node ID: I_kwDOQvNwgs8AAAABMWTGhw | |
| [2026-08-11T19:22:50.960Z] [INFO] PR node ID: PR_kwDOQvNwgs79sUf4 | |
| [2026-08-11T19:22:51.446Z] [INFO] ✅ Link verified: Issue #499 → PR #502 | |
| [2026-08-11T19:22:51.908Z] [INFO] 👤 Current user: konard | |
| [2026-08-11T19:22:51.912Z] [INFO] | |
| [2026-08-11T19:22:51.912Z] [INFO] 📊 Comment counting conditions: | |
| [2026-08-11T19:22:51.916Z] [INFO] prNumber: 502 | |
| [2026-08-11T19:22:51.919Z] [INFO] branchName: issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:51.922Z] [INFO] isContinueMode: false | |
| [2026-08-11T19:22:51.927Z] [INFO] Will count comments: true | |
| [2026-08-11T19:22:51.929Z] [INFO] 💬 Counting comments: Checking for new comments since last commit... | |
| [2026-08-11T19:22:51.930Z] [INFO] PR #502 on branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:22:51.934Z] [INFO] Owner/Repo: G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:22:51.936Z] [INFO] Repository path: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:22:51.963Z] [INFO] 📅 Last commit time: 2026-08-11T19:22:35.000Z | |
| [2026-08-11T19:22:53.235Z] [INFO] 💬 New PR comments: 0 | |
| [2026-08-11T19:22:53.253Z] [INFO] 💬 New PR review comments: 0 | |
| [2026-08-11T19:22:53.279Z] [INFO] 💬 New issue comments: 0 | |
| [2026-08-11T19:22:53.284Z] [INFO] Total new comments: 0 | |
| [2026-08-11T19:22:53.288Z] [INFO] Comment lines to add: No (saving tokens) | |
| [2026-08-11T19:22:53.292Z] [INFO] PR review comments fetched: 0 | |
| [2026-08-11T19:22:53.296Z] [INFO] PR conversation comments fetched: 0 | |
| [2026-08-11T19:22:53.303Z] [INFO] Total PR comments checked: 0 | |
| [2026-08-11T19:22:56.999Z] [INFO] Feedback info will be added to prompt: | |
| [2026-08-11T19:22:57.002Z] [INFO] - Pull request description was edited after last commit | |
| [2026-08-11T19:22:57.003Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-08-11T19:22:57.492Z] [STDOUT] 2026-08-11T19:06:43Z | |
| [2026-08-11T19:22:57.498Z] [INFO] 📝 Issue updated: 2026-08-11T19:06:43.000Z | |
| [2026-08-11T19:22:57.913Z] [INFO] 💬 Comments: None found | |
| [2026-08-11T19:22:58.676Z] [STDOUT] [{"createdAt":"2026-08-11T19:22:46Z"}] | |
| [2026-08-11T19:22:58.688Z] [INFO] 🔀 Recent PR: 2026-08-11T19:22:46.000Z | |
| [2026-08-11T19:22:58.691Z] [INFO] | |
| [2026-08-11T19:22:58.691Z] [INFO] ✅ Reference time: 2026-08-11T19:22:46.000Z | |
| [2026-08-11T19:22:58.699Z] [INFO] | |
| [2026-08-11T19:22:58.699Z] [INFO] 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-08-11T19:22:58.744Z] [INFO] ✅ No uncommitted changes found | |
| [2026-08-11T19:22:59.743Z] [STDOUT] update-manifest.yml | |
| validate.yml | |
| [2026-08-11T19:22:59.751Z] [INFO] 📦 Fork workflows detected: https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/actions?query=branch%3Aissue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.182Z] [INFO] 👁️ Model vision capability: supported | |
| [2026-08-11T19:23:00.190Z] [INFO] | |
| [2026-08-11T19:23:00.190Z] [INFO] 📝 Final prompt structure: | |
| [2026-08-11T19:23:00.193Z] [INFO] Characters: 554 | |
| [2026-08-11T19:23:00.195Z] [INFO] System prompt characters: 15029 | |
| [2026-08-11T19:23:00.201Z] [INFO] Feedback info: Included | |
| [2026-08-11T19:23:00.219Z] [INFO] | |
| [2026-08-11T19:23:00.219Z] [INFO] 🤖 Executing Claude: OPUS | |
| [2026-08-11T19:23:00.225Z] [INFO] Model: opus (claude-opus-5) | |
| [2026-08-11T19:23:00.235Z] [INFO] Working directory: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:23:00.238Z] [INFO] Branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.240Z] [INFO] Prompt length: 554 chars | |
| [2026-08-11T19:23:00.246Z] [INFO] System prompt length: 15029 chars | |
| [2026-08-11T19:23:00.255Z] [INFO] Feedback info included: Yes (1 lines) | |
| [2026-08-11T19:23:00.296Z] [INFO] 📈 System resources before execution: | |
| [2026-08-11T19:23:00.300Z] [INFO] Memory: MemFree: 8633028 kB | |
| [2026-08-11T19:23:00.303Z] [INFO] Load: 2.46 3.25 4.00 3/431 2187 | |
| [2026-08-11T19:23:00.313Z] [INFO] 🧭 Claude Code quiet config verified at /home/box/.claude/settings.json: settings[autoMemoryEnabled=false, spinnerTipsEnabled=false, awaySummaryEnabled=false, feedbackSurveyRate=0, includeCoAuthoredBy=false, includeGitInstructions=true, prefersReducedMotion=true, showThinkingSummaries=false, skipDangerousModePermissionPrompt=true, viewMode="verbose", attribution={"commit":"","pr":""}, permissions={"defaultMode":"bypassPermissions"}], env[CLAUDE_CODE_DISABLE_AUTO_MEMORY=1, CLAUDE_CODE_DISABLE_CRON=1, CLAUDE_CODE_DISABLE_TERMINAL_TITLE=1, CLAUDE_CODE_DISABLE_CLAUDE_MDS=1, CLAUDE_CODE_DISABLE_FAST_MODE=1, CLAUDE_CODE_DISABLE_FEEDBACK_SURVEY=1, CLAUDE_CODE_DISABLE_MOUSE=1, CLAUDE_CODE_ENABLE_AWAY_SUMMARY=0, CLAUDE_CODE_ENABLE_TASKS=1, CLAUDE_CODE_MAX_TOOL_USE_CONCURRENCY=4, CLAUDE_CODE_RESUME_INTERRUPTED_TURN=1, DISABLE_FEEDBACK_COMMAND=1] | |
| [2026-08-11T19:23:00.327Z] [INFO] 🧰 Created filtered MCP config (excluding 'claude.ai gmail*', 'claude.ai google drive*', 'claude.ai google calendar*'): /tmp/claude-mcp-no-useless-1786476180325-1.json | |
| [2026-08-11T19:23:00.330Z] [INFO] 🧰 Useless MCP servers (claude.ai Gmail/Drive/Calendar) disabled for this session via --strict-mcp-config (issue #1627) | |
| [2026-08-11T19:23:00.341Z] [INFO] 🧰 Disallowed 16 useless Claude Code tool(s) for this session (issue #1627) | |
| [2026-08-11T19:23:00.345Z] [INFO] | |
| [2026-08-11T19:23:00.345Z] [INFO] 📝 Raw command: | |
| [2026-08-11T19:23:00.356Z] [INFO] (cd "/tmp/gh-issue-solver-1786476145265" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-opus-5 --fallback-model claude-opus-4-8 --strict-mcp-config --mcp-config "/tmp/claude-mcp-no-useless-1786476180325-1.json" --disallowedTools AskUserQuestion CronCreate CronDelete CronList EnterPlanMode EnterWorktree ExitPlanMode ExitWorktree Monitor NotebookEdit PushNotification RemoteTrigger ScheduleWakeup mcp__claude_ai_Gmail__* mcp__claude_ai_Google_Drive__* mcp__claude_ai_Google_Calendar__* -p "Issue to solve: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 | |
| [2026-08-11T19:23:00.356Z] [INFO] Your prepared branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.356Z] [INFO] Your prepared working directory: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:23:00.356Z] [INFO] Your prepared Pull Request: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/502 | |
| [2026-08-11T19:23:00.356Z] [INFO] Your forked repository: konard/G-Ivan-A-hybrid-Intelligence-lab | |
| [2026-08-11T19:23:00.356Z] [INFO] Original repository (upstream): G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:23:00.356Z] [INFO] GitHub Actions on your fork: https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/actions?query=branch%3Aissue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Proceed. | |
| [2026-08-11T19:23:00.356Z] [INFO] " --append-system-prompt "You are an AI issue solver. When you investigate issues, prefer root-cause analysis. When you communicate, prefer facts you have checked yourself or cite sources that provide evidence, such as quoted code or references to documents or web pages. When you are unsure or working from assumptions, test them yourself or ask clarifying questions. | |
| [2026-08-11T19:23:00.356Z] [INFO] General guidelines. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you execute commands and the output becomes large, save the logs to files for easier review. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When running commands, avoid setting a timeout yourself. Let them run as long as needed. The default timeout of 2 minutes is usually enough, and once commands finish, review the logs in the file. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When running sudo commands, especially package installations like apt-get, yum, or npm install, run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| [2026-08-11T19:23:00.356Z] [INFO] Step 1: List recent runs with timestamps using: gh run list --repo G-Ivan-A/hybrid-Intelligence-lab --branch issue-499-3ed54f8116eb --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| [2026-08-11T19:23:00.356Z] [INFO] Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| [2026-08-11T19:23:00.356Z] [INFO] Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo G-Ivan-A/hybrid-Intelligence-lab --log > ci-logs/{workflow}-{run-id}.log | |
| [2026-08-11T19:23:00.356Z] [INFO] Step 4: Read each downloaded log file with the Read tool to understand the actual failures | |
| [2026-08-11T19:23:00.356Z] [INFO] Step 5: Report findings with specific errors and line numbers from logs | |
| [2026-08-11T19:23:00.356Z] [INFO] This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| [2026-08-11T19:23:00.356Z] [INFO] Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you create debug, test, or example scripts while fixing an issue, keep them in ./examples and/or ./experiments so you can reuse them later. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you test assumptions, keep experiment scripts in ./experiments. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When an experiment demonstrates a real-world use case of the software, add it to ./examples. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you face something extremely hard, use divide and conquer. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Initial research. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you start, create a detailed plan for yourself and follow your todo list step by step. Add as many relevant points from these guidelines to the todo list as practical so you can track the work clearly. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When the user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) list recent CI runs with timestamps, (2) download logs from failed runs to the ci-logs/ directory, (3) analyze error messages and identify the root cause, (4) implement a fix, (5) verify that the fix resolves the specific errors found in the logs. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you read the issue, read all details and comments thoroughly. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use the Read tool to view and analyze it. Before reading downloaded images with the Read tool, verify that the file is a valid image rather than HTML by using a CLI tool such as the 'file' command. When corrupted or non-image files, such as GitHub \"Not Found\" pages saved as `.png`, are read, they can cause \"Could not process image\" errors and crash the AI solver process. When the file command shows \"HTML\", \"text\", or \"ASCII text\", the download failed, so do not call Read on that file. Instead: (1) when images are from GitHub issues or PRs, such as URLs containing \"github.com/user-attachments\", retry with: curl -L -H \"Authorization: [REDACTED] \$(gh auth token)\" -o <filename> \"<url>\" (2) when the retry still fails, skip the image and note that it was unavailable. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need issue details, use gh issue view https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need related code, use gh search code --owner G-Ivan-A [keywords]. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need repo context, read files in your working directory. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you study related work, study the most recent related pull requests. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When the issue is not defined clearly enough, write a comment with clarifying questions. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you are fixing a bug, find the actual root cause first and run as many experiments as needed. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you are fixing a bug and the code does not have enough tracing or logs, add them and keep them in the code with the default state switched off. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need comments on a pull request, note that GitHub has three different comment types with different API endpoints: | |
| [2026-08-11T19:23:00.356Z] [INFO] 1. PR review comments (inline code comments): gh api repos/G-Ivan-A/hybrid-Intelligence-lab/pulls/502/comments --paginate | |
| [2026-08-11T19:23:00.356Z] [INFO] 2. PR conversation comments (general discussion): gh api repos/G-Ivan-A/hybrid-Intelligence-lab/issues/502/comments --paginate | |
| [2026-08-11T19:23:00.356Z] [INFO] 3. PR reviews (approve/request changes): gh api repos/G-Ivan-A/hybrid-Intelligence-lab/pulls/502/reviews --paginate | |
| [2026-08-11T19:23:00.356Z] [INFO] Note: The command \"gh pr view --json comments\" only returns conversation comments and misses review comments. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need the latest comments on the issue, use gh api repos/G-Ivan-A/hybrid-Intelligence-lab/issues/499/comments --paginate. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Solution development and testing. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When issue is solvable, first create a test that reproduces the problem, then implement the fix. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When coding, commit each atomic step that is useful on its own to the pull request branch so interrupted work remains preserved in the pull request. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you test: | |
| [2026-08-11T19:23:00.356Z] [INFO] start from testing of small functions using separate scripts; | |
| [2026-08-11T19:23:00.356Z] [INFO] write unit tests with mocks for easy and quick start. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you test integrations, use existing framework. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you test solution draft, include automated checks in pr. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you write or modify tests, consider setting reasonable timeouts at test, suite, and CI job levels so failures surface quickly instead of hanging. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you see repeated test timeout patterns in CI, investigate the root cause rather than increasing timeouts. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When the issue is unclear, write a comment on the issue with questions. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you encounter problems that you cannot solve yourself and need human help, write a comment on the pull request asking for help. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need human help, use gh pr comment 502 --body \"your message\" to comment on existing PR. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Reproducible testing. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When fixing a bug, create a test that reproduces the problem before implementing the fix. When you cannot reproduce the problem, you cannot verify the fix. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When encountering logic bugs, write an automated test that fails due to the bug, then implement the fix to make it pass. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When encountering UI bugs, capture a screenshot showing the problem state, then create a visual regression test or manual verification screenshot after the fix. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When creating tests, prefer minimum reproducible examples, meaning the simplest test case that demonstrates the issue. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When submitting a fix, include in the PR description: (1) how to reproduce the issue, (2) the automated test that verifies the fix, (3) before/after screenshots for UI issues. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When a bug fix does not have a reproducing test, treat the fix as incomplete because regressions can occur later without notice. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Preparing pull request. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you code, follow contributing guidelines. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you commit, write clear message. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need examples of style, use gh pr list --repo G-Ivan-A/hybrid-Intelligence-lab --state merged --search [keywords]. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you open pr, describe solution draft and include tests. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you update existing pr 502, use gh pr edit to modify title and description. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you are about to commit or push code, run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you finalize the pull request: | |
| [2026-08-11T19:23:00.356Z] [INFO] follow style from merged prs for code, title, and description, | |
| [2026-08-11T19:23:00.356Z] [INFO] check that no uncommitted changes corresponding to the original requirements are left behind, | |
| [2026-08-11T19:23:00.356Z] [INFO] check that the default branch is merged into the pull request branch, | |
| [2026-08-11T19:23:00.356Z] [INFO] check that all CI checks are passing if they exist before you finish, | |
| [2026-08-11T19:23:00.356Z] [INFO] check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| [2026-08-11T19:23:00.356Z] [INFO] double-check that all changes in the pull request address the original requirements of the issue, | |
| [2026-08-11T19:23:00.356Z] [INFO] check for newly introduced bugs in the pull request by carefully reading gh pr diff, | |
| [2026-08-11T19:23:00.356Z] [INFO] check that no previously existing features were removed without an explicit request in the issue description, issue comments, or pull request comments. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you finish implementation, use gh pr ready 502. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Workflow and collaboration. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you check branch, verify with git branch --show-current. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you push, push only to branch issue-499-3ed54f8116eb. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you finish, create a pull request from branch issue-499-3ed54f8116eb. (Note: PR 502 already exists, update it instead) | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you manage commits, preserve commit history for later analysis. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you face conflict that you cannot resolve yourself, ask for help. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you collaborate, respect branch protections by working only on issue-499-3ed54f8116eb. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you mention a result, include the pull request URL or comment URL. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need to create pr, remember pr 502 already exists for this branch. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Self review. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you check your solution draft, run all tests locally. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you compare with repo style, use gh pr diff [number]. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you finalize, confirm code, tests, and description are consistent. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] GitHub CLI command patterns. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When fetching lists from GitHub API, use the --paginate flag to ensure all results are returned (GitHub returns max 30 per page by default). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When adding PR comment, use gh pr comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When adding issue comment, use gh issue comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When filtering with jq, use gh api repos/\${owner}/\${repo}/pulls/\${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When WebSearch tool fails or returns insufficient results, use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for internet search. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you finish using the browser, close it with browser_close to free resources. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When reproducing UI bugs, use browser_take_screenshot to capture the problem state before implementing any fix. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When fixing UI bugs, take before/after screenshots to provide visual evidence of the fix for human verification. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When creating UI tests, save baseline screenshots to the repository for visual regression testing. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When verifying UI fixes, compare screenshots to ensure the fix does not introduce unintended visual changes. | |
| [2026-08-11T19:23:00.356Z] [INFO] | |
| [2026-08-11T19:23:00.356Z] [INFO] Visual UI work and screenshots. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/blob/issue-499-3ed54f8116eb/docs/screenshots/result.png?raw=true). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories). | |
| [2026-08-11T19:23:00.356Z] [INFO] - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When fixing UI bugs, capture both the \"before\" (problem) and \"after\" (fixed) screenshots as evidence for human verification. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When reporting UI bugs, include a screenshot of the problem state to enable visual verification of the fix. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When the fix is visual, include side-by-side or sequential comparison of before/after states in the PR description. | |
| [2026-08-11T19:23:00.356Z] [INFO] - When possible, create automated visual regression tests to prevent the UI bug from recurring." | jq -c .) | |
| [2026-08-11T19:23:00.363Z] [INFO] | |
| [2026-08-11T19:23:00.366Z] [INFO] 📋 User prompt: | |
| [2026-08-11T19:23:00.366Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-08-11T19:23:00.366Z] [INFO] Issue to solve: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499 | |
| [2026-08-11T19:23:00.366Z] [INFO] Your prepared branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.366Z] [INFO] Your prepared working directory: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:23:00.366Z] [INFO] Your prepared Pull Request: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/502 | |
| [2026-08-11T19:23:00.366Z] [INFO] Your forked repository: konard/G-Ivan-A-hybrid-Intelligence-lab | |
| [2026-08-11T19:23:00.366Z] [INFO] Original repository (upstream): G-Ivan-A/hybrid-Intelligence-lab | |
| [2026-08-11T19:23:00.366Z] [INFO] GitHub Actions on your fork: https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/actions?query=branch%3Aissue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.366Z] [INFO] | |
| [2026-08-11T19:23:00.366Z] [INFO] Proceed. | |
| [2026-08-11T19:23:00.366Z] [INFO] | |
| [2026-08-11T19:23:00.366Z] [INFO] ---END USER PROMPT--- | |
| [2026-08-11T19:23:00.372Z] [INFO] 📋 System prompt: | |
| [2026-08-11T19:23:00.372Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-08-11T19:23:00.372Z] [INFO] You are an AI issue solver. When you investigate issues, prefer root-cause analysis. When you communicate, prefer facts you have checked yourself or cite sources that provide evidence, such as quoted code or references to documents or web pages. When you are unsure or working from assumptions, test them yourself or ask clarifying questions. | |
| [2026-08-11T19:23:00.372Z] [INFO] General guidelines. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you execute commands and the output becomes large, save the logs to files for easier review. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When running commands, avoid setting a timeout yourself. Let them run as long as needed. The default timeout of 2 minutes is usually enough, and once commands finish, review the logs in the file. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When running sudo commands, especially package installations like apt-get, yum, or npm install, run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| [2026-08-11T19:23:00.372Z] [INFO] Step 1: List recent runs with timestamps using: gh run list --repo G-Ivan-A/hybrid-Intelligence-lab --branch issue-499-3ed54f8116eb --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| [2026-08-11T19:23:00.372Z] [INFO] Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| [2026-08-11T19:23:00.372Z] [INFO] Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo G-Ivan-A/hybrid-Intelligence-lab --log > ci-logs/{workflow}-{run-id}.log | |
| [2026-08-11T19:23:00.372Z] [INFO] Step 4: Read each downloaded log file with the Read tool to understand the actual failures | |
| [2026-08-11T19:23:00.372Z] [INFO] Step 5: Report findings with specific errors and line numbers from logs | |
| [2026-08-11T19:23:00.372Z] [INFO] This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| [2026-08-11T19:23:00.372Z] [INFO] Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you create debug, test, or example scripts while fixing an issue, keep them in ./examples and/or ./experiments so you can reuse them later. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you test assumptions, keep experiment scripts in ./experiments. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When an experiment demonstrates a real-world use case of the software, add it to ./examples. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you face something extremely hard, use divide and conquer. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Initial research. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you start, create a detailed plan for yourself and follow your todo list step by step. Add as many relevant points from these guidelines to the todo list as practical so you can track the work clearly. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When the user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) list recent CI runs with timestamps, (2) download logs from failed runs to the ci-logs/ directory, (3) analyze error messages and identify the root cause, (4) implement a fix, (5) verify that the fix resolves the specific errors found in the logs. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you read the issue, read all details and comments thoroughly. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use the Read tool to view and analyze it. Before reading downloaded images with the Read tool, verify that the file is a valid image rather than HTML by using a CLI tool such as the 'file' command. When corrupted or non-image files, such as GitHub "Not Found" pages saved as `.png`, are read, they can cause "Could not process image" errors and crash the AI solver process. When the file command shows "HTML", "text", or "ASCII text", the download failed, so do not call Read on that file. Instead: (1) when images are from GitHub issues or PRs, such as URLs containing "github.com/user-attachments", retry with: curl -L -H "Authorization: [REDACTED] $(gh auth token)" -o <filename> "<url>" (2) when the retry still fails, skip the image and note that it was unavailable. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need issue details, use gh issue view https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need related code, use gh search code --owner G-Ivan-A [keywords]. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need repo context, read files in your working directory. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you study related work, study the most recent related pull requests. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When the issue is not defined clearly enough, write a comment with clarifying questions. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you are fixing a bug, find the actual root cause first and run as many experiments as needed. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you are fixing a bug and the code does not have enough tracing or logs, add them and keep them in the code with the default state switched off. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need comments on a pull request, note that GitHub has three different comment types with different API endpoints: | |
| [2026-08-11T19:23:00.372Z] [INFO] 1. PR review comments (inline code comments): gh api repos/G-Ivan-A/hybrid-Intelligence-lab/pulls/502/comments --paginate | |
| [2026-08-11T19:23:00.372Z] [INFO] 2. PR conversation comments (general discussion): gh api repos/G-Ivan-A/hybrid-Intelligence-lab/issues/502/comments --paginate | |
| [2026-08-11T19:23:00.372Z] [INFO] 3. PR reviews (approve/request changes): gh api repos/G-Ivan-A/hybrid-Intelligence-lab/pulls/502/reviews --paginate | |
| [2026-08-11T19:23:00.372Z] [INFO] Note: The command "gh pr view --json comments" only returns conversation comments and misses review comments. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need the latest comments on the issue, use gh api repos/G-Ivan-A/hybrid-Intelligence-lab/issues/499/comments --paginate. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Solution development and testing. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When issue is solvable, first create a test that reproduces the problem, then implement the fix. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When coding, commit each atomic step that is useful on its own to the pull request branch so interrupted work remains preserved in the pull request. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you test: | |
| [2026-08-11T19:23:00.372Z] [INFO] start from testing of small functions using separate scripts; | |
| [2026-08-11T19:23:00.372Z] [INFO] write unit tests with mocks for easy and quick start. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you test integrations, use existing framework. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you test solution draft, include automated checks in pr. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you write or modify tests, consider setting reasonable timeouts at test, suite, and CI job levels so failures surface quickly instead of hanging. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you see repeated test timeout patterns in CI, investigate the root cause rather than increasing timeouts. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When the issue is unclear, write a comment on the issue with questions. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you encounter problems that you cannot solve yourself and need human help, write a comment on the pull request asking for help. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need human help, use gh pr comment 502 --body "your message" to comment on existing PR. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Reproducible testing. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When fixing a bug, create a test that reproduces the problem before implementing the fix. When you cannot reproduce the problem, you cannot verify the fix. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When encountering logic bugs, write an automated test that fails due to the bug, then implement the fix to make it pass. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When encountering UI bugs, capture a screenshot showing the problem state, then create a visual regression test or manual verification screenshot after the fix. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When creating tests, prefer minimum reproducible examples, meaning the simplest test case that demonstrates the issue. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When submitting a fix, include in the PR description: (1) how to reproduce the issue, (2) the automated test that verifies the fix, (3) before/after screenshots for UI issues. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When a bug fix does not have a reproducing test, treat the fix as incomplete because regressions can occur later without notice. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Preparing pull request. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you code, follow contributing guidelines. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you commit, write clear message. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need examples of style, use gh pr list --repo G-Ivan-A/hybrid-Intelligence-lab --state merged --search [keywords]. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you open pr, describe solution draft and include tests. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you update existing pr 502, use gh pr edit to modify title and description. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you are about to commit or push code, run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you finalize the pull request: | |
| [2026-08-11T19:23:00.372Z] [INFO] follow style from merged prs for code, title, and description, | |
| [2026-08-11T19:23:00.372Z] [INFO] check that no uncommitted changes corresponding to the original requirements are left behind, | |
| [2026-08-11T19:23:00.372Z] [INFO] check that the default branch is merged into the pull request branch, | |
| [2026-08-11T19:23:00.372Z] [INFO] check that all CI checks are passing if they exist before you finish, | |
| [2026-08-11T19:23:00.372Z] [INFO] check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| [2026-08-11T19:23:00.372Z] [INFO] double-check that all changes in the pull request address the original requirements of the issue, | |
| [2026-08-11T19:23:00.372Z] [INFO] check for newly introduced bugs in the pull request by carefully reading gh pr diff, | |
| [2026-08-11T19:23:00.372Z] [INFO] check that no previously existing features were removed without an explicit request in the issue description, issue comments, or pull request comments. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you finish implementation, use gh pr ready 502. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Workflow and collaboration. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you check branch, verify with git branch --show-current. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you push, push only to branch issue-499-3ed54f8116eb. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you finish, create a pull request from branch issue-499-3ed54f8116eb. (Note: PR 502 already exists, update it instead) | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you manage commits, preserve commit history for later analysis. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you face conflict that you cannot resolve yourself, ask for help. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you collaborate, respect branch protections by working only on issue-499-3ed54f8116eb. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you mention a result, include the pull request URL or comment URL. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need to create pr, remember pr 502 already exists for this branch. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Self review. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you check your solution draft, run all tests locally. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you compare with repo style, use gh pr diff [number]. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you finalize, confirm code, tests, and description are consistent. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] GitHub CLI command patterns. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When fetching lists from GitHub API, use the --paginate flag to ensure all results are returned (GitHub returns max 30 per page by default). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When adding PR comment, use gh pr comment NUMBER --body "text" --repo OWNER/REPO. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When adding issue comment, use gh issue comment NUMBER --body "text" --repo OWNER/REPO. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When filtering with jq, use gh api repos/${owner}/${repo}/pulls/${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When WebSearch tool fails or returns insufficient results, use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for internet search. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you finish using the browser, close it with browser_close to free resources. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When reproducing UI bugs, use browser_take_screenshot to capture the problem state before implementing any fix. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When fixing UI bugs, take before/after screenshots to provide visual evidence of the fix for human verification. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When creating UI tests, save baseline screenshots to the repository for visual regression testing. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When verifying UI fixes, compare screenshots to ensure the fix does not introduce unintended visual changes. | |
| [2026-08-11T19:23:00.372Z] [INFO] | |
| [2026-08-11T19:23:00.372Z] [INFO] Visual UI work and screenshots. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/konard/G-Ivan-A-hybrid-Intelligence-lab/blob/issue-499-3ed54f8116eb/docs/screenshots/result.png?raw=true). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories). | |
| [2026-08-11T19:23:00.372Z] [INFO] - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When fixing UI bugs, capture both the "before" (problem) and "after" (fixed) screenshots as evidence for human verification. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When reporting UI bugs, include a screenshot of the problem state to enable visual verification of the fix. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When the fix is visual, include side-by-side or sequential comparison of before/after states in the PR description. | |
| [2026-08-11T19:23:00.372Z] [INFO] - When possible, create automated visual regression tests to prevent the UI bug from recurring. | |
| [2026-08-11T19:23:00.372Z] [INFO] ---END SYSTEM PROMPT--- | |
| [2026-08-11T19:23:00.383Z] [INFO] 📊 CLAUDE_CODE_MAX_OUTPUT_TOKENS: 128000, MCP_TIMEOUT: 900000ms, MCP_TOOL_TIMEOUT: 900000ms, ANTHROPIC_LOG: debug | |
| [2026-08-11T19:23:00.385Z] [INFO] 📊 CLAUDE_CODE_EFFORT_LEVEL: low | |
| [2026-08-11T19:23:00.388Z] [INFO] 📊 CLAUDE_CODE_DISABLE_1M_CONTEXT=1, CLAUDE_CODE_AUTO_COMPACT_WINDOW=150000, CLAUDE_AUTOCOMPACT_PCT_OVERRIDE=95 | |
| [2026-08-11T19:23:00.394Z] [INFO] 📊 Thinking level (via keywords): off | |
| [2026-08-11T19:23:00.399Z] [INFO] 📊 Claude --fallback-model: claude-opus-4-8 (Issue #1949 — primary --model claude-opus-5 stays stable across overload retries) | |
| [2026-08-11T19:23:00.402Z] [INFO] 📋 Command details: | |
| [2026-08-11T19:23:00.405Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1786476145265 | |
| [2026-08-11T19:23:00.411Z] [INFO] 🌿 Branch: issue-499-3ed54f8116eb | |
| [2026-08-11T19:23:00.413Z] [INFO] 🤖 Model: Claude OPUS | |
| [2026-08-11T19:23:00.422Z] [INFO] 🍴 Fork: konard/G-Ivan-A-hybrid-Intelligence-lab | |
| [2026-08-11T19:23:00.432Z] [INFO] | |
| [2026-08-11T19:23:00.432Z] [INFO] ▶️ Streaming output: | |
| [2026-08-11T19:23:00.432Z] [INFO] | |
| [2026-08-11T19:23:00.480Z] [STDERR] /bin/sh: 1: .png: not found | |
| [2026-08-11T19:23:00.480Z] [STDERR] | |
| [2026-08-11T19:23:05.311Z] [INFO] { | |
| [2026-08-11T19:23:05.311Z] [INFO] "type": "system", | |
| [2026-08-11T19:23:05.311Z] [INFO] "subtype": "init", | |
| [2026-08-11T19:23:05.311Z] [INFO] "cwd": "/tmp/gh-issue-solver-1786476145265", | |
| [2026-08-11T19:23:05.311Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:23:05.311Z] [INFO] "tools": [ | |
| [2026-08-11T19:23:05.311Z] [INFO] "Task", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Bash", | |
| [2026-08-11T19:23:05.311Z] [INFO] "DesignSync", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Edit", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Read", | |
| [2026-08-11T19:23:05.311Z] [INFO] "ReportFindings", | |
| [2026-08-11T19:23:05.311Z] [INFO] "SendMessage", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Skill", | |
| [2026-08-11T19:23:05.311Z] [INFO] "TaskCreate", | |
| [2026-08-11T19:23:05.311Z] [INFO] "TaskGet", | |
| [2026-08-11T19:23:05.311Z] [INFO] "TaskList", | |
| [2026-08-11T19:23:05.311Z] [INFO] "TaskOutput", | |
| [2026-08-11T19:23:05.311Z] [INFO] "TaskStop", | |
| [2026-08-11T19:23:05.311Z] [INFO] "TaskUpdate", | |
| [2026-08-11T19:23:05.311Z] [INFO] "ToolSearch", | |
| [2026-08-11T19:23:05.311Z] [INFO] "WebFetch", | |
| [2026-08-11T19:23:05.311Z] [INFO] "WebSearch", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Workflow", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Write", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_click", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_close", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_console_messages", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_drag", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_drop", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_evaluate", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_file_upload", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_fill_form", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_find", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_handle_dialog", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_hover", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_navigate", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_navigate_back", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_network_request", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_network_requests", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_press_key", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_resize", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_run_code_unsafe", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_select_option", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_snapshot", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_tabs", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_take_screenshot", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_type", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp__playwright__browser_wait_for" | |
| [2026-08-11T19:23:05.311Z] [INFO] ], | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp_servers": [ | |
| [2026-08-11T19:23:05.311Z] [INFO] { | |
| [2026-08-11T19:23:05.311Z] [INFO] "name": "playwright", | |
| [2026-08-11T19:23:05.311Z] [INFO] "status": "connected" | |
| [2026-08-11T19:23:05.311Z] [INFO] } | |
| [2026-08-11T19:23:05.311Z] [INFO] ], | |
| [2026-08-11T19:23:05.311Z] [INFO] "model": "claude-opus-5", | |
| [2026-08-11T19:23:05.311Z] [INFO] "permissionMode": "bypassPermissions", | |
| [2026-08-11T19:23:05.311Z] [INFO] "slash_commands": [ | |
| [2026-08-11T19:23:05.311Z] [INFO] "deep-research", | |
| [2026-08-11T19:23:05.311Z] [INFO] "design-sync", | |
| [2026-08-11T19:23:05.311Z] [INFO] "dataviz", | |
| [2026-08-11T19:23:05.311Z] [INFO] "update-config", | |
| [2026-08-11T19:23:05.311Z] [INFO] "verify", | |
| [2026-08-11T19:23:05.311Z] [INFO] "debug", | |
| [2026-08-11T19:23:05.311Z] [INFO] "code-review", | |
| [2026-08-11T19:23:05.311Z] [INFO] "simplify", | |
| [2026-08-11T19:23:05.311Z] [INFO] "batch", | |
| [2026-08-11T19:23:05.311Z] [INFO] "fewer-permission-prompts", | |
| [2026-08-11T19:23:05.311Z] [INFO] "doctor", | |
| [2026-08-11T19:23:05.311Z] [INFO] "schedule", | |
| [2026-08-11T19:23:05.311Z] [INFO] "claude-api", | |
| [2026-08-11T19:23:05.311Z] [INFO] "run", | |
| [2026-08-11T19:23:05.311Z] [INFO] "run-skill-generator", | |
| [2026-08-11T19:23:05.311Z] [INFO] "agents", | |
| [2026-08-11T19:23:05.311Z] [INFO] "autocompact", | |
| [2026-08-11T19:23:05.311Z] [INFO] "clear", | |
| [2026-08-11T19:23:05.311Z] [INFO] "color", | |
| [2026-08-11T19:23:05.311Z] [INFO] "compact", | |
| [2026-08-11T19:23:05.311Z] [INFO] "config", | |
| [2026-08-11T19:23:05.311Z] [INFO] "context", | |
| [2026-08-11T19:23:05.311Z] [INFO] "effort", | |
| [2026-08-11T19:23:05.311Z] [INFO] "fast", | |
| [2026-08-11T19:23:05.311Z] [INFO] "heapdump", | |
| [2026-08-11T19:23:05.311Z] [INFO] "init", | |
| [2026-08-11T19:23:05.311Z] [INFO] "mcp", | |
| [2026-08-11T19:23:05.311Z] [INFO] "import", | |
| [2026-08-11T19:23:05.311Z] [INFO] "model", | |
| [2026-08-11T19:23:05.311Z] [INFO] "__remote-workflow", | |
| [2026-08-11T19:23:05.311Z] [INFO] "workflow-launch-exec", | |
| [2026-08-11T19:23:05.311Z] [INFO] "reload-skills", | |
| [2026-08-11T19:23:05.311Z] [INFO] "rename", | |
| [2026-08-11T19:23:05.311Z] [INFO] "review", | |
| [2026-08-11T19:23:05.311Z] [INFO] "ultrareview", | |
| [2026-08-11T19:23:05.311Z] [INFO] "security-review", | |
| [2026-08-11T19:23:05.311Z] [INFO] "usage-credits", | |
| [2026-08-11T19:23:05.311Z] [INFO] "extra-usage", | |
| [2026-08-11T19:23:05.311Z] [INFO] "usage", | |
| [2026-08-11T19:23:05.311Z] [INFO] "insights", | |
| [2026-08-11T19:23:05.311Z] [INFO] "recap", | |
| [2026-08-11T19:23:05.311Z] [INFO] "goal", | |
| [2026-08-11T19:23:05.311Z] [INFO] "design", | |
| [2026-08-11T19:23:05.311Z] [INFO] "design-consent", | |
| [2026-08-11T19:23:05.311Z] [INFO] "design-revoke", | |
| [2026-08-11T19:23:05.311Z] [INFO] "team-onboarding" | |
| [2026-08-11T19:23:05.311Z] [INFO] ], | |
| [2026-08-11T19:23:05.311Z] [INFO] "apiKeySource": "[REDACTED]", | |
| [2026-08-11T19:23:05.311Z] [INFO] "claude_code_version": "2.1.222", | |
| [2026-08-11T19:23:05.311Z] [INFO] "output_style": "default", | |
| [2026-08-11T19:23:05.311Z] [INFO] "agents": [ | |
| [2026-08-11T19:23:05.311Z] [INFO] "claude", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Explore", | |
| [2026-08-11T19:23:05.311Z] [INFO] "general-purpose", | |
| [2026-08-11T19:23:05.311Z] [INFO] "Plan", | |
| [2026-08-11T19:23:05.311Z] [INFO] "statusline-setup" | |
| [2026-08-11T19:23:05.311Z] [INFO] ], | |
| [2026-08-11T19:23:05.311Z] [INFO] "skills": [ | |
| [2026-08-11T19:23:05.311Z] [INFO] "deep-research", | |
| [2026-08-11T19:23:05.311Z] [INFO] "design-sync", | |
| [2026-08-11T19:23:05.311Z] [INFO] "dataviz", | |
| [2026-08-11T19:23:05.311Z] [INFO] "update-config", | |
| [2026-08-11T19:23:05.311Z] [INFO] "verify", | |
| [2026-08-11T19:23:05.311Z] [INFO] "debug", | |
| [2026-08-11T19:23:05.311Z] [INFO] "code-review", | |
| [2026-08-11T19:23:05.311Z] [INFO] "simplify", | |
| [2026-08-11T19:23:05.311Z] [INFO] "batch", | |
| [2026-08-11T19:23:05.311Z] [INFO] "fewer-permission-prompts", | |
| [2026-08-11T19:23:05.311Z] [INFO] "doctor", | |
| [2026-08-11T19:23:05.311Z] [INFO] "schedule", | |
| [2026-08-11T19:23:05.311Z] [INFO] "claude-api", | |
| [2026-08-11T19:23:05.311Z] [INFO] "run", | |
| [2026-08-11T19:23:05.311Z] [INFO] "run-skill-generator" | |
| [2026-08-11T19:23:05.311Z] [INFO] ], | |
| [2026-08-11T19:23:05.311Z] [INFO] "plugins": [], | |
| [2026-08-11T19:23:05.311Z] [INFO] "capabilities": [ | |
| [2026-08-11T19:23:05.311Z] [INFO] "interrupt_receipt_v1", | |
| [2026-08-11T19:23:05.311Z] [INFO] "interrupt_cancel_queued_v1", | |
| [2026-08-11T19:23:05.311Z] [INFO] "msg_lifecycle_v1" | |
| [2026-08-11T19:23:05.311Z] [INFO] ], | |
| [2026-08-11T19:23:05.311Z] [INFO] "analytics_disabled": false, | |
| [2026-08-11T19:23:05.311Z] [INFO] "product_feedback_disabled": false, | |
| [2026-08-11T19:23:05.311Z] [INFO] "uuid": "8b09bb35-b789-42ce-bc5d-0d0076292f6f", | |
| [2026-08-11T19:23:05.311Z] [INFO] "fast_mode_state": "off", | |
| [2026-08-11T19:23:05.311Z] [INFO] "fast_mode_disabled_reason": "disabled_by_env" | |
| [2026-08-11T19:23:05.311Z] [INFO] } | |
| [2026-08-11T19:23:05.320Z] [INFO] 📌 Session ID: 2a4f3009-e5e1-4cbe-97f1-121f1b8e3057 | |
| [2026-08-11T19:23:05.325Z] [INFO] 📁 Log renamed to: /home/box/2a4f3009-e5e1-4cbe-97f1-121f1b8e3057.log | |
| [2026-08-11T19:23:05.359Z] [STDOUT] [log_23e243] sending request { | |
| [2026-08-11T19:23:05.365Z] [STDOUT] method: "post", | |
| [2026-08-11T19:23:05.371Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:23:05.375Z] [STDOUT] options: { | |
| [2026-08-11T19:23:05.380Z] [STDOUT] method: "post", | |
| [2026-08-11T19:23:05.383Z] [STDOUT] path: "/v1/messages?beta=true", | |
| [2026-08-11T19:23:05.387Z] [STDOUT] body: { | |
| [2026-08-11T19:23:05.394Z] [STDOUT] model: "claude-opus-5", | |
| [2026-08-11T19:23:05.397Z] [STDOUT] messages: [ | |
| [2026-08-11T19:23:05.399Z] [STDOUT] [Object ...], [Object ...] | |
| [2026-08-11T19:23:05.405Z] [STDOUT] ], | |
| [2026-08-11T19:23:05.408Z] [STDOUT] system: [ | |
| [2026-08-11T19:23:05.414Z] [STDOUT] [Object ...], [Object ...], [Object ...], [Object ...] | |
| [2026-08-11T19:23:05.423Z] [STDOUT] ], | |
| [2026-08-11T19:23:05.428Z] [STDOUT] tools: [ | |
| [2026-08-11T19:23:05.432Z] [STDOUT] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...] | |
| [2026-08-11T19:23:05.435Z] [STDOUT] ], | |
| [2026-08-11T19:23:05.440Z] [STDOUT] tool_choice: undefined, | |
| [2026-08-11T19:23:05.444Z] [STDOUT] metadata: [Object ...], | |
| [2026-08-11T19:23:05.448Z] [STDOUT] max_tokens: 128000, | |
| [2026-08-11T19:23:05.459Z] [STDOUT] thinking: [Object ...], | |
| [2026-08-11T19:23:05.470Z] [STDOUT] context_management: [Object ...], | |
| [2026-08-11T19:23:05.475Z] [STDOUT] output_config: [Object ...], | |
| [2026-08-11T19:23:05.482Z] [STDOUT] diagnostics: [Object ...], | |
| [2026-08-11T19:23:05.488Z] [STDOUT] stream: true, | |
| [2026-08-11T19:23:05.491Z] [STDOUT] }, | |
| [2026-08-11T19:23:05.495Z] [STDOUT] timeout: 600000, | |
| [2026-08-11T19:23:05.497Z] [STDOUT] signal: AbortSignal { | |
| [2026-08-11T19:23:05.500Z] [STDOUT] [Symbol(events.maxEventTargetListeners)]: 50, | |
| [2026-08-11T19:23:05.504Z] [STDOUT] [Symbol(events.maxEventTargetListenersWarned)]: false, | |
| [2026-08-11T19:23:05.508Z] [STDOUT] aborted: false, | |
| [2026-08-11T19:23:05.511Z] [STDOUT] reason: undefined, | |
| [2026-08-11T19:23:05.514Z] [STDOUT] onabort: null, | |
| [2026-08-11T19:23:05.519Z] [STDOUT] throwIfAborted: [Function: throwIfAborted], | |
| [2026-08-11T19:23:05.523Z] [STDOUT] addEventListener: [Function: addEventListener], | |
| [2026-08-11T19:23:05.527Z] [STDOUT] removeEventListener: [Function: removeEventListener], | |
| [2026-08-11T19:23:05.528Z] [STDOUT] dispatchEvent: [Function: dispatchEvent], | |
| [2026-08-11T19:23:05.531Z] [STDOUT] }, | |
| [2026-08-11T19:23:05.533Z] [STDOUT] stream: true, | |
| [2026-08-11T19:23:05.536Z] [STDOUT] }, | |
| [2026-08-11T19:23:05.544Z] [STDOUT] headers: { | |
| [2026-08-11T19:23:05.551Z] [STDOUT] accept: "application/json", | |
| [2026-08-11T19:23:05.554Z] [STDOUT] "anthropic-beta": "claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,thinking-token-count-2026-05-13,context-management-2025-06-27,prompt-caching-scope-2026-01-05,mid-conversation-system-2026-04-07,advisor-tool-2026-03-01,advanced-tool-use-2025-11-20,effort-2025-11-24,fallback-credit-2026-06-01,extended-cache-ttl-2025-04-11,cache-diagnosis-2026-04-07", | |
| [2026-08-11T19:23:05.556Z] [STDOUT] "anthropic-dangerous-direct-browser-access": "true", | |
| [2026-08-11T19:23:05.559Z] [STDOUT] "anthropic-version": "2023-06-01", | |
| [2026-08-11T19:23:05.562Z] [STDOUT] authorization: "[REDACTED]", | |
| [2026-08-11T19:23:05.566Z] [STDOUT] "content-type": "application/json", | |
| [2026-08-11T19:23:05.570Z] [STDOUT] "user-agent": "claude-cli/2.1.222 (external, sdk-cli)", | |
| [2026-08-11T19:23:05.574Z] [STDOUT] "x-app": "cli", | |
| [2026-08-11T19:23:05.584Z] [STDOUT] "x-claude-code-session-id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:23:05.591Z] [STDOUT] "x-client-request-id": "919c7d80-6f36-4f51-8017-044706180634", | |
| [2026-08-11T19:23:05.598Z] [STDOUT] "x-stainless-arch": "x64", | |
| [2026-08-11T19:23:05.603Z] [STDOUT] "x-stainless-lang": "js", | |
| [2026-08-11T19:23:05.607Z] [STDOUT] "x-stainless-os": "Linux", | |
| [2026-08-11T19:23:05.609Z] [STDOUT] "x-stainless-package-version": "0.94.0", | |
| [2026-08-11T19:23:05.613Z] [STDOUT] "x-stainless-retry-count": "0", | |
| [2026-08-11T19:23:05.617Z] [STDOUT] "x-stainless-runtime": "node", | |
| [2026-08-11T19:23:05.620Z] [STDOUT] "x-stainless-runtime-version": "v26.3.0", | |
| [2026-08-11T19:23:05.622Z] [STDOUT] "x-stainless-timeout": "600", | |
| [2026-08-11T19:23:05.626Z] [STDOUT] }, | |
| [2026-08-11T19:23:05.629Z] [STDOUT] } | |
| [2026-08-11T19:23:07.343Z] [STDOUT] [log_23e243, request-id: "req_011CdwWKcoJhAXY4CcQMefAU"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 1990ms | |
| [2026-08-11T19:23:07.348Z] [STDOUT] [log_23e243] response start { | |
| [2026-08-11T19:23:07.352Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:23:07.353Z] [STDOUT] status: 200, | |
| [2026-08-11T19:23:07.356Z] [STDOUT] headers: { | |
| [2026-08-11T19:23:07.358Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:23:07.360Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:23:07.362Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:23:07.365Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:23:07.370Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:23:07.372Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:23:07.374Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.02", | |
| [2026-08-11T19:23:07.378Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:23:07.381Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:23:07.385Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:23:07.391Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:23:07.394Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:23:07.398Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:23:07.401Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:23:07.404Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:23:07.406Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:23:07.410Z] [STDOUT] "cf-ray": "a2999cdebea065d6-FRA", | |
| [2026-08-11T19:23:07.416Z] [STDOUT] connection: "keep-alive", | |
| [2026-08-11T19:23:07.420Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:23:07.422Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:23:07.426Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:23:07.436Z] [STDOUT] date: "Tue, 11 Aug 2026 19:23:07 GMT", | |
| [2026-08-11T19:23:07.447Z] [STDOUT] "request-id": "req_011CdwWKcoJhAXY4CcQMefAU", | |
| [2026-08-11T19:23:07.451Z] [STDOUT] server: "cloudflare", | |
| [2026-08-11T19:23:07.458Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:23:07.462Z] [STDOUT] traceresponse: "00-76cb6ff9f3b9a7f58dbd059dca0f011d-fe6376e63bf922b2-01", | |
| [2026-08-11T19:23:07.464Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:23:07.467Z] [STDOUT] vary: "Accept-Encoding", | |
| [2026-08-11T19:23:07.475Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:23:07.478Z] [STDOUT] }, | |
| [2026-08-11T19:23:07.484Z] [STDOUT] durationMs: 1990, | |
| [2026-08-11T19:23:07.486Z] [STDOUT] } | |
| [2026-08-11T19:23:07.489Z] [STDOUT] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-08-11T19:23:07.492Z] [STDOUT] "date": "Tue, 11 Aug 2026 19:23:07 GMT", | |
| [2026-08-11T19:23:07.495Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:23:07.499Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:23:07.501Z] [STDOUT] "connection": "keep-alive", | |
| [2026-08-11T19:23:07.505Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:23:07.511Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:23:07.516Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:23:07.520Z] [STDOUT] "vary": "Accept-Encoding", | |
| [2026-08-11T19:23:07.525Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:23:07.538Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:23:07.542Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:23:07.548Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:23:07.552Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:23:07.554Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:23:07.556Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:23:07.561Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.02", | |
| [2026-08-11T19:23:07.566Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:23:07.569Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:23:07.572Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:23:07.574Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:23:07.576Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:23:07.577Z] [STDOUT] "request-id": "req_011CdwWKcoJhAXY4CcQMefAU", | |
| [2026-08-11T19:23:07.582Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:23:07.584Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:23:07.591Z] [STDOUT] "traceresponse": "00-76cb6ff9f3b9a7f58dbd059dca0f011d-fe6376e63bf922b2-01", | |
| [2026-08-11T19:23:07.595Z] [STDOUT] "server": "cloudflare", | |
| [2026-08-11T19:23:07.599Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:23:07.603Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:23:07.606Z] [STDOUT] "cf-ray": "a2999cdebea065d6-FRA", | |
| [2026-08-11T19:23:07.608Z] [STDOUT] } ReadableStream { locked: false, state: 'readable', supportsBYOB: false } | |
| [2026-08-11T19:23:07.611Z] [STDOUT] [log_23e243] response parsed { | |
| [2026-08-11T19:23:07.616Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:23:07.619Z] [STDOUT] status: 200, | |
| [2026-08-11T19:23:07.625Z] [STDOUT] body: ste { | |
| [2026-08-11T19:23:07.633Z] [STDOUT] iterator: [AsyncGeneratorFunction: i], | |
| [2026-08-11T19:23:07.638Z] [STDOUT] controller: AbortController { | |
| [2026-08-11T19:23:07.640Z] [STDOUT] signal: [AbortSignal ...], | |
| [2026-08-11T19:23:07.644Z] [STDOUT] abort: [Function: abort], | |
| [2026-08-11T19:23:07.647Z] [STDOUT] }, | |
| [2026-08-11T19:23:07.653Z] [STDOUT] [Symbol(Symbol.asyncIterator)]: [Function], | |
| [2026-08-11T19:23:07.656Z] [STDOUT] tee: [Function: tee], | |
| [2026-08-11T19:23:07.659Z] [STDOUT] toReadableStream: [Function: toReadableStream], | |
| [2026-08-11T19:23:07.661Z] [STDOUT] }, | |
| [2026-08-11T19:23:07.663Z] [STDOUT] durationMs: 1995, | |
| [2026-08-11T19:23:07.666Z] [STDOUT] } | |
| [2026-08-11T19:23:07.671Z] [INFO] { | |
| [2026-08-11T19:23:07.671Z] [INFO] "type": "assistant", | |
| [2026-08-11T19:23:07.671Z] [INFO] "message": { | |
| [2026-08-11T19:23:07.671Z] [INFO] "model": "claude-opus-5", | |
| [2026-08-11T19:23:07.671Z] [INFO] "id": "msg_011CdwWKdjccy9Ra77EEsNsK", | |
| [2026-08-11T19:23:07.671Z] [INFO] "type": "message", | |
| [2026-08-11T19:23:07.671Z] [INFO] "role": "assistant", | |
| [2026-08-11T19:23:07.671Z] [INFO] "content": [ | |
| [2026-08-11T19:23:07.671Z] [INFO] { | |
| [2026-08-11T19:23:07.671Z] [INFO] "type": "text", | |
| [2026-08-11T19:23:07.671Z] [INFO] "text": "I'll start by reading the issue." | |
| [2026-08-11T19:23:07.671Z] [INFO] } | |
| [2026-08-11T19:23:07.671Z] [INFO] ], | |
| [2026-08-11T19:23:07.671Z] [INFO] "stop_reason": null, | |
| [2026-08-11T19:23:07.671Z] [INFO] "stop_sequence": null, | |
| [2026-08-11T19:23:07.671Z] [INFO] "stop_details": null, | |
| [2026-08-11T19:23:07.671Z] [INFO] "usage": { | |
| [2026-08-11T19:23:07.671Z] [INFO] "input_tokens": 2, | |
| [2026-08-11T19:23:07.671Z] [INFO] "cache_creation_input_tokens": 24480, | |
| [2026-08-11T19:23:07.671Z] [INFO] "cache_read_input_tokens": 0, | |
| [2026-08-11T19:23:07.671Z] [INFO] "cache_creation": { | |
| [2026-08-11T19:23:07.671Z] [INFO] "ephemeral_5m_input_tokens": 0, | |
| [2026-08-11T19:23:07.671Z] [INFO] "ephemeral_1h_input_tokens": 24480 | |
| [2026-08-11T19:23:07.671Z] [INFO] }, | |
| [2026-08-11T19:23:07.671Z] [INFO] "output_tokens": 1, | |
| [2026-08-11T19:23:07.671Z] [INFO] "service_tier": "standard", | |
| [2026-08-11T19:23:07.671Z] [INFO] "inference_geo": "not_available" | |
| [2026-08-11T19:23:07.671Z] [INFO] }, | |
| [2026-08-11T19:23:07.671Z] [INFO] "diagnostics": null, | |
| [2026-08-11T19:23:07.671Z] [INFO] "context_management": null | |
| [2026-08-11T19:23:07.671Z] [INFO] }, | |
| [2026-08-11T19:23:07.671Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:23:07.671Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:23:07.671Z] [INFO] "uuid": "d3560848-b0bd-4acf-93fd-e2eab488bd8e", | |
| [2026-08-11T19:23:07.671Z] [INFO] "timestamp": "2026-08-11T19:23:07.623Z", | |
| [2026-08-11T19:23:07.671Z] [INFO] "request_id": "req_011CdwWKcoJhAXY4CcQMefAU" | |
| [2026-08-11T19:23:07.671Z] [INFO] } | |
| [2026-08-11T19:23:09.763Z] [INFO] { | |
| [2026-08-11T19:23:09.763Z] [INFO] "type": "assistant", | |
| [2026-08-11T19:23:09.763Z] [INFO] "message": { | |
| [2026-08-11T19:23:09.763Z] [INFO] "model": "claude-opus-5", | |
| [2026-08-11T19:23:09.763Z] [INFO] "id": "msg_011CdwWKdjccy9Ra77EEsNsK", | |
| [2026-08-11T19:23:09.763Z] [INFO] "type": "message", | |
| [2026-08-11T19:23:09.763Z] [INFO] "role": "assistant", | |
| [2026-08-11T19:23:09.763Z] [INFO] "content": [ | |
| [2026-08-11T19:23:09.763Z] [INFO] { | |
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| [2026-08-11T19:23:19.212Z] [INFO] "content": "title:\tanalysis: валидация методологий исследований на основе всех завершённых кейсов хаба\nstate:\tOPEN\nauthor:\tG-Ivan-A (Ivan Gulienko)\nlabels:\t\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nissue-type:\t\nparent:\t\nsub-issues:\t\nsub-issues-completed:\t\nblocked-by:\t\nblocking:\t\nnumber:\t499\n--\n**Labels:** analysis | methodology | research-pattern | creative\n**Operating Mode:** Creative\n**Task Type:** Analysis\n**Lifecycle Stage:** Analysis\n\n### 🎯 SSOT (Single Source of Truth)\n- Универсальные SSOT: см. `ai-rules/agent-work-rules.md` §Универсальные SSOT по осям\n- Специфичные для задачи:\n - Reference Research Pattern: `docs/rfc/2026-07-17-rfc-reference-research-pattern.md`\n - Исследования хаба: `research/hub/` (все файлы)\n - Исследования ai-education: `research/ai-education/` (8 модулей)\n - Прикладной контракт evals: PR #489\n - Анализ пробелов контрактов: PR #497\n - Эмпирическая валидация ОПС: `research/hub/2026-07-31-ops-task-strategy-validation.md` (PR #462)\n - Глобальный анализ хаба: `research/hub/2026-07-04-hub-as-agent-system-global-analysis.md`\n\n### 🧠 КОНТЕКСТ\n\n**Исходная гипотеза:**\n\nReference Research Pattern (RFC от 2026-07-17) был предложен как универсальная методология для исследований. Планировалось проверить её на 3+ кейсах. Сейчас выполнено **8 исследований в `research/ai-education/`** (6-файловые модули) и **несколько исследований в `research/hub/`** (простые, один файл), что даёт достаточную эмпирическую базу для анализа.\n\n**Наблюдаемый паттерн:**\n\nИсследования в `research/ai-education/` используют 6-файловую структуру Reference Research Pattern. Исследования в `research/hub/` (эмпирическая валидация ОПС, глобальный анализ хаба, аудит размещения артефактов) — простые, один файл, без жёсткой структуры.\n\n**Гипотеза для проверки:**\n\nНа текущей итерации достаточно **двух типов методологий исследований**:\n1. **Simple Research Pattern** (простая) — для точечных исследований хаба, эмпирических проверок, анализов. Один файл, сфокусированный на конкретном вопросе.\n2. **Reference Research Pattern** (расширенная) — для глубоких исследований в `research/ai-education/`, где результат становится частью образовательного курса. 6 файлов: 00-intro → 50-open-research.\n\n**Вопросы:**\n1. Достаточно ли двух типов методологий на текущей итерации?\n2. Какие исследования требуют какой методологии?\n3. Какие критерии определяют выбор методологии?\n4. Как инициировать каждую методологию (когда и как запускать)?\n5. Нужны ли дополнительные методологии или двух достаточно?\n\n### 🎯 ЦЕЛЬ\n\nПровести анализ всех завершённых исследований хаба (`research/hub/` и `research/ai-education/`) и определить:\n\n1. **Достаточность двух типов методологий:** подтвердить или опровергнуть гипотезу, что на текущей итерации достаточно Simple Research Pattern и Reference Research Pattern.\n2. **Типологию исследований:** какие исследования требуют какой методологии, какие критерии выбора.\n3. **Правила инициации:** когда и как запускать каждую методологию, какие триггеры.\n4. **Цепочку рассуждений для будущих решений:** какие вопросы должны быть закрыты для утверждения двух методологий или создания дополнительных.\n\n**Результат:** аналитический отчёт, который выявляет паттерны и предлагает **цепочку рассуждений** для утверждения двух методологий или обоснования необходимости дополнительных.\n\n### ТРЕБОВАНИЯ К ИСПОЛНИТЕЛЮ ПО ЭТАПАМ\n\n**Этап 1: Инвентаризация всех исследований хаба**\n\nПроверить **все** файлы в `research/hub/` и `research/ai-education/`:\n- Для каждого исследования: тип, структура (количество файлов, наличие 6-файловой схемы), цель.\n- Разделить на две категории: простые (один файл) и расширенные (6 файлов).\n- Указать, какие исследования выполнены OpenAI GPT-5.6 Sol, какие Anthropic Claude Opus 5.\n- Указать стоимость и использование токенов (если доступно из логов PR).\n\n**Этап 2: Анализ применимости каждой методологии**\n\nДля каждого исследования:\n- Оценить, насколько структура соответствует содержанию.\n- Выявить, были ли отклонения от методологии оправданы.\n- Определить, какие исследования явно требуют Simple, какие — Reference, какие — не вписываются ни в одну.\n\n**Этап 3: Критерии выбора методологии**\n\nНа основе анализа сформулировать критерии:\n- Когда использовать Simple Research Pattern (один файл)?\n- Когда использовать Reference Research Pattern (6 файлов)?\n- Какие признаки задачи указывают на выбор методологии (цель, аудитория, глубина, наличие экспериментов)?\n\n**Этап 4: Правила инициации**\n\nОпределить:\n- Кто инициирует исследование (человек, агент по триггеру)?\n- Какие триггеры запускают исследование (новая область знаний, пробел в контрактах, эмпирическая проверка гипотезы)?\n- Как оформляется задача на исследование (какие поля обязательны, какие опциональны)?\n- Как связывается с бэклогом (B-085..B-100)?\n\n**Этап 5: Оценка достаточности двух методологий**\n\nОтветить на вопрос:\n- Достаточно ли двух типов на текущей итерации?\n- Есть ли исследования, которые не вписываются ни в одну из двух методологий?\n- Нужны ли дополнительные методологии (например, для дизайнов экспериментов, для анализов)?\n- Какие риски, если ограничиться двумя методологиями?\n\n**Этап 6: Цепочка рассуждений для будущих решений**\n\nНа основе анализа:\n- Сформулировать **цепочку рассуждений**, которая приводит от выявленных паттернов к утверждению двух методологий или обоснованию необходимости дополнительных.\n- Не предписывать конкретные изменения в Reference Research Pattern или создание новых стандартов.\n- Показать, **какие вопросы** должны быть закрыты для принятия решения.\n\n### ⛔ ОГРАНИЧЕНИЯ\n\n- ❌ **НЕ** предлагать конкретные изменения в Reference Research Pattern или создание новых стандартов. Только анализ.\n- ❌ **НЕ** переписывать существующие контракты или RFC. Только анализ.\n- ❌ **НЕ** внедрять изменения в репозиторий. Только анализ.\n- ✅ Опирайся на **все** завершённые исследования в `research/hub/` и `research/ai-education/`.\n- ✅ Все ключевые утверждения должны быть подкреплены ссылками на конкретные файлы и PR.\n- ✅ Инициатива исполнителя по расширению границ анализа (в рамках темы) является обязательной частью выполнения задачи в режиме Creative.\n\n### Definition of Done\n\n1. Подготовлен аналитический отчёт `docs/analysis/2026-08-XX-research-methodology-validation.md` (или `research/hub/`, исполнитель выбирает путь).\n2. Отчёт содержит:\n - Инвентаризацию **всех** исследований хаба (hub + ai-education).\n - Анализ применимости Simple и Reference методологий.\n - Критерии выбора методологии.\n - Правила инициации (триггеры, оформление, связь с бэклогом).\n - Оценку достаточности двух методологий.\n - Цепочку рассуждений для будущих решений.\n3. Отчёт **НЕ** содержит предписаний по изменению Reference Research Pattern или внедрению новых стандартов.\n4. Все ключевые утверждения подкреплены ссылками на конкретные файлы и PR.\n5. Отчёт прошёл локальные валидаторы (frontmatter, file-naming, repository-structure).\n6. Навигация, artifact-map, changelog синхронизированы.\n\n### 🔗 ИСТОЧНИКИ\n- Reference Research Pattern: `docs/rfc/2026-07-17-rfc-reference-research-pattern.md`\n- Исследования хаба: `research/hub/` (все файлы)\n- Исследования ai-education: `research/ai-education/` (8 модулей)\n- Эмпирическая валидация ОПС: `research/hub/2026-07-31-ops-task-strategy-validation.md` (PR #462)\n- Глобальный анализ хаба: `research/hub/2026-07-04-hub-as-agent-system-global-analysis.md`\n- Прикладной контракт evals: PR #489\n- Анализ пробелов контрактов: PR #497\n- Постановка фаундера: текущий диалог (2026-08-11)\n---COMMENTS---", | |
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| [2026-08-11T19:23:19.212Z] [INFO] "stdout": "title:\tanalysis: валидация методологий исследований на основе всех завершённых кейсов хаба\nstate:\tOPEN\nauthor:\tG-Ivan-A (Ivan Gulienko)\nlabels:\t\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nissue-type:\t\nparent:\t\nsub-issues:\t\nsub-issues-completed:\t\nblocked-by:\t\nblocking:\t\nnumber:\t499\n--\n**Labels:** analysis | methodology | research-pattern | creative\n**Operating Mode:** Creative\n**Task Type:** Analysis\n**Lifecycle Stage:** Analysis\n\n### 🎯 SSOT (Single Source of Truth)\n- Универсальные SSOT: см. `ai-rules/agent-work-rules.md` §Универсальные SSOT по осям\n- Специфичные для задачи:\n - Reference Research Pattern: `docs/rfc/2026-07-17-rfc-reference-research-pattern.md`\n - Исследования хаба: `research/hub/` (все файлы)\n - Исследования ai-education: `research/ai-education/` (8 модулей)\n - Прикладной контракт evals: PR #489\n - Анализ пробелов контрактов: PR #497\n - Эмпирическая валидация ОПС: `research/hub/2026-07-31-ops-task-strategy-validation.md` (PR #462)\n - Глобальный анализ хаба: `research/hub/2026-07-04-hub-as-agent-system-global-analysis.md`\n\n### 🧠 КОНТЕКСТ\n\n**Исходная гипотеза:**\n\nReference Research Pattern (RFC от 2026-07-17) был предложен как универсальная методология для исследований. Планировалось проверить её на 3+ кейсах. Сейчас выполнено **8 исследований в `research/ai-education/`** (6-файловые модули) и **несколько исследований в `research/hub/`** (простые, один файл), что даёт достаточную эмпирическую базу для анализа.\n\n**Наблюдаемый паттерн:**\n\nИсследования в `research/ai-education/` используют 6-файловую структуру Reference Research Pattern. Исследования в `research/hub/` (эмпирическая валидация ОПС, глобальный анализ хаба, аудит размещения артефактов) — простые, один файл, без жёсткой структуры.\n\n**Гипотеза для проверки:**\n\nНа текущей итерации достаточно **двух типов методологий исследований**:\n1. **Simple Research Pattern** (простая) — для точечных исследований хаба, эмпирических проверок, анализов. Один файл, сфокусированный на конкретном вопросе.\n2. **Reference Research Pattern** (расширенная) — для глубоких исследований в `research/ai-education/`, где результат становится частью образовательного курса. 6 файлов: 00-intro → 50-open-research.\n\n**Вопросы:**\n1. Достаточно ли двух типов методологий на текущей итерации?\n2. Какие исследования требуют какой методологии?\n3. Какие критерии определяют выбор методологии?\n4. Как инициировать каждую методологию (когда и как запускать)?\n5. Нужны ли дополнительные методологии или двух достаточно?\n\n### 🎯 ЦЕЛЬ\n\nПровести анализ всех завершённых исследований хаба (`research/hub/` и `research/ai-education/`) и определить:\n\n1. **Достаточность двух типов методологий:** подтвердить или опровергнуть гипотезу, что на текущей итерации достаточно Simple Research Pattern и Reference Research Pattern.\n2. **Типологию исследований:** какие исследования требуют какой методологии, какие критерии выбора.\n3. **Правила инициации:** когда и как запускать каждую методологию, какие триггеры.\n4. **Цепочку рассуждений для будущих решений:** какие вопросы должны быть закрыты для утверждения двух методологий или создания дополнительных.\n\n**Результат:** аналитический отчёт, который выявляет паттерны и предлагает **цепочку рассуждений** для утверждения двух методологий или обоснования необходимости дополнительных.\n\n### ТРЕБОВАНИЯ К ИСПОЛНИТЕЛЮ ПО ЭТАПАМ\n\n**Этап 1: Инвентаризация всех исследований хаба**\n\nПроверить **все** файлы в `research/hub/` и `research/ai-education/`:\n- Для каждого исследования: тип, структура (количество файлов, наличие 6-файловой схемы), цель.\n- Разделить на две категории: простые (один файл) и расширенные (6 файлов).\n- Указать, какие исследования выполнены OpenAI GPT-5.6 Sol, какие Anthropic Claude Opus 5.\n- Указать стоимость и использование токенов (если доступно из логов PR).\n\n**Этап 2: Анализ применимости каждой методологии**\n\nДля каждого исследования:\n- Оценить, насколько структура соответствует содержанию.\n- Выявить, были ли отклонения от методологии оправданы.\n- Определить, какие исследования явно требуют Simple, какие — Reference, какие — не вписываются ни в одну.\n\n**Этап 3: Критерии выбора методологии**\n\nНа основе анализа сформулировать критерии:\n- Когда использовать Simple Research Pattern (один файл)?\n- Когда использовать Reference Research Pattern (6 файлов)?\n- Какие признаки задачи указывают на выбор методологии (цель, аудитория, глубина, наличие экспериментов)?\n\n**Этап 4: Правила инициации**\n\nОпределить:\n- Кто инициирует исследование (человек, агент по триггеру)?\n- Какие триггеры запускают исследование (новая область знаний, пробел в контрактах, эмпирическая проверка гипотезы)?\n- Как оформляется задача на исследование (какие поля обязательны, какие опциональны)?\n- Как связывается с бэклогом (B-085..B-100)?\n\n**Этап 5: Оценка достаточности двух методологий**\n\nОтветить на вопрос:\n- Достаточно ли двух типов на текущей итерации?\n- Есть ли исследования, которые не вписываются ни в одну из двух методологий?\n- Нужны ли дополнительные методологии (например, для дизайнов экспериментов, для анализов)?\n- Какие риски, если ограничиться двумя методологиями?\n\n**Этап 6: Цепочка рассуждений для будущих решений**\n\nНа основе анализа:\n- Сформулировать **цепочку рассуждений**, которая приводит от выявленных паттернов к утверждению двух методологий или обоснованию необходимости дополнительных.\n- Не предписывать конкретные изменения в Reference Research Pattern или создание новых стандартов.\n- Показать, **какие вопросы** должны быть закрыты для принятия решения.\n\n### ⛔ ОГРАНИЧЕНИЯ\n\n- ❌ **НЕ** предлагать конкретные изменения в Reference Research Pattern или создание новых стандартов. Только анализ.\n- ❌ **НЕ** переписывать существующие контракты или RFC. Только анализ.\n- ❌ **НЕ** внедрять изменения в репозиторий. Только анализ.\n- ✅ Опирайся на **все** завершённые исследования в `research/hub/` и `research/ai-education/`.\n- ✅ Все ключевые утверждения должны быть подкреплены ссылками на конкретные файлы и PR.\n- ✅ Инициатива исполнителя по расширению границ анализа (в рамках темы) является обязательной частью выполнения задачи в режиме Creative.\n\n### Definition of Done\n\n1. Подготовлен аналитический отчёт `docs/analysis/2026-08-XX-research-methodology-validation.md` (или `research/hub/`, исполнитель выбирает путь).\n2. Отчёт содержит:\n - Инвентаризацию **всех** исследований хаба (hub + ai-education).\n - Анализ применимости Simple и Reference методологий.\n - Критерии выбора методологии.\n - Правила инициации (триггеры, оформление, связь с бэклогом).\n - Оценку достаточности двух методологий.\n - Цепочку рассуждений для будущих решений.\n3. Отчёт **НЕ** содержит предписаний по изменению Reference Research Pattern или внедрению новых стандартов.\n4. Все ключевые утверждения подкреплены ссылками на конкретные файлы и PR.\n5. Отчёт прошёл локальные валидаторы (frontmatter, file-naming, repository-structure).\n6. Навигация, artifact-map, changelog синхронизированы.\n\n### 🔗 ИСТОЧНИКИ\n- Reference Research Pattern: `docs/rfc/2026-07-17-rfc-reference-research-pattern.md`\n- Исследования хаба: `research/hub/` (все файлы)\n- Исследования ai-education: `research/ai-education/` (8 модулей)\n- Эмпирическая валидация ОПС: `research/hub/2026-07-31-ops-task-strategy-validation.md` (PR #462)\n- Глобальный анализ хаба: `research/hub/2026-07-04-hub-as-agent-system-global-analysis.md`\n- Прикладной контракт evals: PR #489\n- Анализ пробелов контрактов: PR #497\n- Постановка фаундера: текущий диалог (2026-08-11)\n---COMMENTS---", | |
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| [2026-08-11T19:23:22.848Z] [INFO] "content": ".\n..\n.git\n.github\n.gitignore\n.gitkeep\nCHANGELOG.md\nCONTRIBUTING.md\nGOVERNANCE.md\nLICENSE\nREADME.md\nai-governance\nai-rules\ndocs\neducation\nframeworks\nguides\npr-ops\npractices\nprojects\nprojects-sink\nresearch\nstandards\ntemplates\ntools\n---\nstatus: canonical\nversion: 1.4\nupdated: 2026-08-01\ntemperature: 0.1\n---\n\n# hybrid-Intelligence-lab\n\n> **«Человек задаёт смысл, AI ускоряет путь — вместе по правилам»** — слоган\n> Хаба и формула гибридной работы человек + AI. Зафиксирован для Хаба и\n> наследуется всеми HTOM-командами (геном [`templates/htom/`](templates/htom/)).\n\n`hybrid-Intelligence-lab` - governance-first knowledge hub для исследований,\nобразования, стандартов, проектных knowledge bases и управляемой работы\nгибридных human + AI команд.\n\nРепозиторий не является production-кодовой базой. Production-системы,\nклиентские реализации и приложения с собственным жизненным циклом должны жить\nв отдельных spoke-репозиториях и ссылаться сюда как на источник переиспользуемых\nзнаний и правил работы.\n\n> **🛫 Новый агент? Начни здесь → [`ai-rules/agent-onboarding-protocol.md`](ai-rules/agent-onboarding-protocol.md).**\n> Это обязательный предполётный чек-лист *Runtime-онбординга* (Кейс 1): любой\n> ИИ-агент проходит его, получив ссылку на репозиторий, **до** первого изменения\n> файлов.\n\n## Ключевые документы\n\n| Документ | Назначение |\n| --- | --- |\n| [docs/concept.md](docs/concept.md) | Актуальная концепция репозитория, аудитории, границы и модель hub-and-spoke. |\n| [GOVERNANCE.md](GOVERNANCE.md) | Операционный контракт для Founder & PO, reviewers, contributors и AI-агентов. |\n| [CONTRIBUTING.md](CONTRIBUTING.md) | Правила участия, локальные проверки и ожидания к review. |\n| [CHANGELOG.md](CHANGELOG.md) | Date-based журнал governance-изменений репозитория. |\n| [LICENSE](LICENSE) | Гибридная лицензия: CC BY 4.0 для текстовых артефактов, Apache-2.0 для скриптов. |\n| [standards/README.md](standards/README.md) | Таблица активных и планируемых стандартов. |\n| [standards/file-naming.md](standards/file-naming.md) | Правила именования файлов, включая date-first research/analysis/RFC/ADR артефакты. |\n| [standards/glossary.md](standards/glossary.md) | Единый словарь терминов для standards, governance и AI-assisted work. |\n| [standards/frontmatter-standard.md](standards/frontmatter-standard.md) | Минимальный frontmatter для Markdown-артефактов: `status`, `version`, `updated`, `temperature`. |\n| [practices/README.md](practices/README.md) | Каталог фиксированных практик: отдельный KB-слой между research, templates и проектными адаптациями. |\n| [standards/team-contract.md](standards/team-contract.md) | Шаблон и инструкция для создания project-level `CONTRIBUTING.md` и `AI_GOVERNANCE.md`. |\n| [ai-rules/agent-onboarding-protocol.md](ai-rules/agent-onboarding-protocol.md) | Обязательный предполётный протокол для нового ИИ-агента (*Runtime-онбординг*, Кейс 1): Handover Prompt, Readback, исполнение мандата issue и согласование результата через PR. |\n| [pr-ops/repo-model.md](pr-ops/repo-model.md) | Модель структуры репозитория и Anti-Inflation правило. |\n| [pr-ops/artifact-map.md](pr-ops/artifact-map.md) | Карта артефактов: где что лежит, зачем нужно и как связано. |\n| [templates/htom/](templates/htom/) | Геном **HTOM-команды** — минимальный governance-скелет для гибридной human + AI работы (*Bootstrap-клонирование*, Кейс 2). Точка входа: `templates/htom/README.md`. |\n| [templates/spoke/](templates/spoke/) | Шаблон **production-спока** — репозитория с собственным кодом и жизненным циклом. Точка входа: `templates/spoke/README.md`. Различие HTOM-команда vs spoke — в [RFC](docs/rfc/htom-vs-spoke-clarification-2026-06.md). |\n\n## Продукт и гайды", | |
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| [2026-08-11T19:23:22.848Z] [INFO] "stdout": ".\n..\n.git\n.github\n.gitignore\n.gitkeep\nCHANGELOG.md\nCONTRIBUTING.md\nGOVERNANCE.md\nLICENSE\nREADME.md\nai-governance\nai-rules\ndocs\neducation\nframeworks\nguides\npr-ops\npractices\nprojects\nprojects-sink\nresearch\nstandards\ntemplates\ntools\n---\nstatus: canonical\nversion: 1.4\nupdated: 2026-08-01\ntemperature: 0.1\n---\n\n# hybrid-Intelligence-lab\n\n> **«Человек задаёт смысл, AI ускоряет путь — вместе по правилам»** — слоган\n> Хаба и формула гибридной работы человек + AI. Зафиксирован для Хаба и\n> наследуется всеми HTOM-командами (геном [`templates/htom/`](templates/htom/)).\n\n`hybrid-Intelligence-lab` - governance-first knowledge hub для исследований,\nобразования, стандартов, проектных knowledge bases и управляемой работы\nгибридных human + AI команд.\n\nРепозиторий не является production-кодовой базой. Production-системы,\nклиентские реализации и приложения с собственным жизненным циклом должны жить\nв отдельных spoke-репозиториях и ссылаться сюда как на источник переиспользуемых\nзнаний и правил работы.\n\n> **🛫 Новый агент? Начни здесь → [`ai-rules/agent-onboarding-protocol.md`](ai-rules/agent-onboarding-protocol.md).**\n> Это обязательный предполётный чек-лист *Runtime-онбординга* (Кейс 1): любой\n> ИИ-агент проходит его, получив ссылку на репозиторий, **до** первого изменения\n> файлов.\n\n## Ключевые документы\n\n| Документ | Назначение |\n| --- | --- |\n| [docs/concept.md](docs/concept.md) | Актуальная концепция репозитория, аудитории, границы и модель hub-and-spoke. |\n| [GOVERNANCE.md](GOVERNANCE.md) | Операционный контракт для Founder & PO, reviewers, contributors и AI-агентов. |\n| [CONTRIBUTING.md](CONTRIBUTING.md) | Правила участия, локальные проверки и ожидания к review. |\n| [CHANGELOG.md](CHANGELOG.md) | Date-based журнал governance-изменений репозитория. |\n| [LICENSE](LICENSE) | Гибридная лицензия: CC BY 4.0 для текстовых артефактов, Apache-2.0 для скриптов. |\n| [standards/README.md](standards/README.md) | Таблица активных и планируемых стандартов. |\n| [standards/file-naming.md](standards/file-naming.md) | Правила именования файлов, включая date-first research/analysis/RFC/ADR артефакты. |\n| [standards/glossary.md](standards/glossary.md) | Единый словарь терминов для standards, governance и AI-assisted work. |\n| [standards/frontmatter-standard.md](standards/frontmatter-standard.md) | Минимальный frontmatter для Markdown-артефактов: `status`, `version`, `updated`, `temperature`. |\n| [practices/README.md](practices/README.md) | Каталог фиксированных практик: отдельный KB-слой между research, templates и проектными адаптациями. |\n| [standards/team-contract.md](standards/team-contract.md) | Шаблон и инструкция для создания project-level `CONTRIBUTING.md` и `AI_GOVERNANCE.md`. |\n| [ai-rules/agent-onboarding-protocol.md](ai-rules/agent-onboarding-protocol.md) | Обязательный предполётный протокол для нового ИИ-агента (*Runtime-онбординг*, Кейс 1): Handover Prompt, Readback, исполнение мандата issue и согласование результата через PR. |\n| [pr-ops/repo-model.md](pr-ops/repo-model.md) | Модель структуры репозитория и Anti-Inflation правило. |\n| [pr-ops/artifact-map.md](pr-ops/artifact-map.md) | Карта артефактов: где что лежит, зачем нужно и как связано. |\n| [templates/htom/](templates/htom/) | Геном **HTOM-команды** — минимальный governance-скелет для гибридной human + AI работы (*Bootstrap-клонирование*, Кейс 2). Точка входа: `templates/htom/README.md`. |\n| [templates/spoke/](templates/spoke/) | Шаблон **production-спока** — репозитория с собственным кодом и жизненным циклом. Точка входа: `templates/spoke/README.md`. Различие HTOM-команда vs spoke — в [RFC](docs/rfc/htom-vs-spoke-clarification-2026-06.md). |\n\n## Продукт и гайды", | |
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| [2026-08-11T19:23:32.790Z] [INFO] "content": "=== research/ tree ===\nresearch/README.md\nresearch/ai-education/README.md\nresearch/ai-education/evaluation/00-introduction.md\nresearch/ai-education/evaluation/10-theory.md\nresearch/ai-education/evaluation/20-taxonomy.md\nresearch/ai-education/evaluation/2026-08-11-source-intelligence-evals-contract.md\nresearch/ai-education/evaluation/30-decision-framework.md\nresearch/ai-education/evaluation/40-practice-and-cases.md\nresearch/ai-education/evaluation/50-open-research.md\nresearch/ai-education/information-extraction-graph-modeling/00-introduction.md\nresearch/ai-education/information-extraction-graph-modeling/10-theory.md\nresearch/ai-education/information-extraction-graph-modeling/20-taxonomy.md\nresearch/ai-education/information-extraction-graph-modeling/30-decision-framework.md\nresearch/ai-education/information-extraction-graph-modeling/40-practice-and-cases.md\nresearch/ai-education/information-extraction-graph-modeling/50-open-research.md\nresearch/ai-education/memory/00-introduction.md\nresearch/ai-education/memory/10-theory.md\nresearch/ai-education/memory/20-taxonomy.md\nresearch/ai-education/memory/30-decision-framework.md\nresearch/ai-education/memory/40-practice-and-cases.md\nresearch/ai-education/memory/50-open-research.md\nresearch/ai-education/multi-agent-orchestration/00-introduction.md\nresearch/ai-education/multi-agent-orchestration/10-theory.md\nresearch/ai-education/multi-agent-orchestration/20-taxonomy.md\nresearch/ai-education/multi-agent-orchestration/30-decision-framework.md\nresearch/ai-education/multi-agent-orchestration/40-practice-and-cases.md\nresearch/ai-education/multi-agent-orchestration/50-open-research.md\nresearch/ai-education/observability/00-introduction.md\nresearch/ai-education/observability/10-theory.md\nresearch/ai-education/observability/20-taxonomy.md\nresearch/ai-education/observability/30-decision-framework.md\nresearch/ai-education/observability/40-practice-and-cases.md\nresearch/ai-education/observability/50-open-research.md\nresearch/ai-education/retrieval/00-introduction.md\nresearch/ai-education/retrieval/10-theory.md\nresearch/ai-education/retrieval/20-taxonomy.md\nresearch/ai-education/retrieval/30-decision-framework.md\nresearch/ai-education/retrieval/40-practice-and-cases.md\nresearch/ai-education/retrieval/50-open-research.md\nresearch/ai-education/task-processing/00-introduction.md\nresearch/ai-education/task-processing/10-theory.md\nresearch/ai-education/task-processing/20-taxonomy.md\nresearch/ai-education/task-processing/30-decision-framework.md\nresearch/ai-education/task-processing/40-practice-and-cases.md\nresearch/ai-education/task-processing/50-open-research.md\nresearch/ai-education/tool-use/00-introduction.md\nresearch/ai-education/tool-use/10-theory.md\nresearch/ai-education/tool-use/20-taxonomy.md\nresearch/ai-education/tool-use/30-decision-framework.md\nresearch/ai-education/tool-use/40-practice-and-cases.md\nresearch/ai-education/tool-use/50-open-research.md\nresearch/cicd/2026-06-09-js-cicd-template-analysis.md\nresearch/cicd/README.md\nresearch/education/2026-07-16-retrieval-strategies-survey.md\nresearch/education/README.md\nresearch/external-knowledge/2026-06-18-wigers-requirements-analysis.md\nresearch/external-knowledge/README.md\nresearch/external-knowledge/external-insights/2026-06-13-12-factor-agents.md\nresearch/external-knowledge/external-insights/2026-06-13-building-effective-agents.md\nresearch/external-knowledge/external-insights/2026-06-13-spec-driven-development.md\nresearch/external-knowledge/external-insights/2026-06-15-agent-local-memory-context.md\nresearch/external-knowledge/external-insights/2026-06-15-structured-prompt-driven-development.md\nresearch/external-knowledge/external-insights/README.md\nresearch/external-knowledge/external-sources-registry.md\nresearch/governance/2026-06-06-contract-documentation-format.md\nresearch/governance/2026-06-06-executable-contract-format.md\nresearch/governance/2026-06-06-governance-folder-structure-decisions.md\nresearch/governance/2026-06-06-research-documentation-format.md\nresearch/governance/README.md\nresearch/hub/2026-05-28-project-context-and-bootstrap-patterns.md\nresearch/hub/2026-05-28-prompts-classification-audit.md\nresearch/hub/2026-05-28-prompts-classification-standard.md\nresearch/hub/2026-05-28-user-prompts-analysis.md\nresearch/hub/2026-06-01-team-c-governance-strategy-audit.md\nresearch/hub/2026-06-02-ai-collaboration-retrospective-mango-migration.md\nresearch/hub/2026-06-02-ai-collaboration-retrospective.md\nresearch/hub/2026-06-02-external-governance-patterns-review.md\nresearch/hub/2026-06-12-ecosystem-governance-audit.md\nresearch/hub/2026-06-12-external-practice-intake.md\nresearch/hub/2026-06-12-international-ai-governance-practices.md\nresearch/hub/2026-06-20-ecosystem-architecture-research.md\nresearch/hub/2026-06-23-repository-structure-concept.md\nresearch/hub/2026-06-25-artifact-inventory-and-classification.md\nresearch/hub/2026-06-27-adr-industry-norms-and-variants.md\nresearch/hub/2026-06-27-rfc-industry-norms-and-variants.md\nresearch/hub/2026-06-28-research-analysis-audit-inventory.md\nresearch/hub/2026-06-28-ripple-effects-282-research.md\nresearch/hub/2026-06-30-reports-industry-norms-and-standardization-scope.md\nresearch/hub/2026-07-02-task-execution-modes-research.md\nresearch/hub/2026-07-04-hub-as-agent-system-global-analysis.md\nresearch/hub/2026-07-31-ops-task-strategy-validation.md\nresearch/hub/README.md\nresearch/hub/exp/analysis-inventory-342/2026-07-02-analysis-artifact-matrix.md\nresearch/hub/exp/analysis-inventory-342/README.md\nresearch/hub/exp/analysis-inventory-342/analysis-inventory.json\nresearch/hub/exp/analysis-inventory-342/scan-analysis.py\nresearch/hub/exp/ops-task-strategy-461/README.md\nresearch/hub/exp/ops-task-strategy-461/analysis-outcomes.json\nresearch/hub/exp/ops-task-strategy-461/analyze-outcomes.log\nresearch/hub/exp/ops-task-strategy-461/analyze-outcomes.py\nresearch/hub/exp/ops-task-strategy-461/collect-evidence.log\nresearch/hub/exp/ops-task-strategy-461/collect-evidence.py\nresearch/hub/exp/ops-task-strategy-461/corpus-metrics.json\nresearch/hub/exp/ops-task-strategy-461/experiment-closure.json\nresearch/hub/exp/ops-task-strategy-461/experiment-closure.log\nresearch/hub/exp/ops-task-strategy-461/experiment-closure.py\nresearch/hub/exp/ops-task-strategy-461/experiment-references.json\nresearch/hub/exp/ops-task-strategy-461/experiment-references.log\nresearch/hub/exp/ops-task-strategy-461/experiment-references.py\nresearch/hub/exp/ops-task-strategy-461/model-contract-index.json\nresearch/hub/exp/ops-task-strategy-461/model-contract-index.log\nresearch/hub/exp/ops-task-strategy-461/model-contract-index.py\nresearch/hub/exp/reports-inventory-310/2026-07-01-reports-artifact-matrix.md\nresearch/hub/exp/reports-inventory-310/README.md\nresearch/hub/exp/reports-inventory-310/reports-inventory.json\nresearch/hub/exp/reports-inventory-310/scan-reports.py\nresearch/hub/exp/research-analysis-audit-288/2026-06-28-artifact-classification-matrix.md\nresearch/hub/exp/research-analysis-audit-288/README.md\nresearch/hub/exp/research-analysis-audit-288/artifact-classification.json\nresearch/hub/exp/research-analysis-audit-288/scan-artifacts.py\nresearch/hub/exp/rfc-adr-industry-norms-278/2026-06-27-adr-external-tree-summary.md\nresearch/hub/exp/rfc-adr-industry-norms-278/2026-06-27-local-rfc-adr-audit.md\nresearch/hub/exp/rfc-adr-industry-norms-278/2026-06-27-rfc-external-tree-summary.md\nresearch/hub/exp/rfc-adr-industry-norms-278/README.md\nresearch/hub/exp/rfc-adr-industry-norms-278/adr-external-tree-summary.json\nresearch/hub/exp/rfc-adr-industry-norms-278/collect-evidence.log\nresearch/hub/exp/rfc-adr-industry-norms-278/collect-evidence.py\nresearch/hub/exp/rfc-adr-industry-norms-278/local-rfc-adr-audit.json\nresearch/hub/exp/rfc-adr-industry-norms-278/rfc-external-tree-summary.json\nresearch/hub/exp/ripple-effects-282/2026-06-28-frontmatter-scan.md\nresearch/hub/exp/ripple-effects-282/README.md\nresearch/hub/exp/ripple-effects-282/frontmatter-scan.json\nresearch/hub/exp/ripple-effects-282/scan-frontmatter.py\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test1-backlog.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test2-issues.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test3-conflict.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test4-evolution.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test5-industry.md\nresearch/hub/exp/task-execution-modes-330/README.md\nresearch/hub/exp/task-execution-modes-330/classify.py\nresearch/hub/exp/task-execution-modes-330/results.json\nresearch/hub/exp/task-execution-modes-330/run.log\nresearch/mango/2026-05-22-classification-tz.md\nresearch/mango/2026-05-22-classification.md\nresearch/mango/2026-05-22-requirements-flow.md\nresearch/mango/2026-05-26-rag-mapping-roadmap.md\nresearch/mango/2026-05-26-requirements-lifecycle-uncertainty.md\nresearch/mango/2026-05-26-taxonomy-concept.md\nresearch/mango/2026-05-27-capability-decomposition.md\nresearch/mango/2026-06-18-ai-classifications-formalization.md\nresearch/mango/2026-06-18-requirements-engineering-ai-era.md\nresearch/mango/2026-06-19-repository-structure-vision.md\nresearch/mango/2026-06-19-token-optimization-proposal.md\nresearch/mango/README.md\nresearch/open-ai-ru/2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md\nresearch/open-ai-ru/README.md\nresearch/reputation-technologies/2026-06-20-executive-summary.ru-en.md\nresearch/reputation-technologies/2026-06-20-founders-vision-and-framework.ru.md\nresearch/reputation-technologies/2026-06-20-framework-standard.en.md\nresearch/reputation-technologies/2026-06-20-glossary.ru-en.md\nresearch/reputation-technologies/2026-06-20-white-paper.en.md\nresearch/reputation-technologies/2026-06-29-partner-attraction-strategy.ru.md\nresearch/reputation-technologies/README.md\n=== docs/analysis ===\n2026-06-30-backlog-and-artifact-change-policy-analysis.md\n2026-07-01-reports-artifacts-inventory.md\n2026-07-02-analysis-artifacts-inventory.md\n2026-07-02-audit-artifacts-deep-analysis.md\n2026-07-04-hub-migration-and-root-structure-plan.md\n2026-07-04-kb-runs-hub-applicability-analysis.md\n2026-07-10-r-a-a-report-structural-desync-options.md\n2026-07-17-mango-artifacts-migration-plan.md\n2026-08-11-sequential-task-contract-ambiguity-analysis.md\n=== docs/rfc ===\n2026-06-27-rfc-adr-standard.md\n2026-06-27-rfc-rfc-standard.md\n2026-06-30-rfc-research-structure.md\n2026-07-02-rfc-analysis-structure.md\n2026-07-02-rfc-audit-structure.md\n2026-07-02-rfc-reports-structure.md\n2026-07-17-rfc-reference-research-pattern.md\n2026-08-06-rfc-task-statement-architecture.md\nREADME.md\ncontract-executability-rfc.md\ndocumentation-architecture-balance.md\ndraft-triage-and-exit-plan.md\nexternal-knowledge-integration.md\nhtom-vs-spoke-clarification-2026-06.md\nhub-vision-concept-proposal-2026-06.md\nknowledge-lifecycle-proposal.md\nmethodology-research-and-proposals.md\nproduct-concept-template-proposal.md\nrepository-archetypes-template-release.md\nrepository-quality-improvement-plan.md\nresearch-memory-source-intelligence.md\nresolve-artifact-location-proposal.md\nrfc-two-cases-of-project-initialization.md\nsolution-concept-template-proposal.md\ntech-debt-solutions-proposal-2026-06.md\n=== tools ===\ncheck-agent-work-rules-size.sh\ngenerate-manifest.py\nsync-from-hub.sh\ntest-agent-onboarding-authorization.sh\ntest-check-agent-work-rules-size.sh\ntest-evidence-structure-validator.sh\ntest-frontmatter-validator.sh\ntest-mango-kb-migration-contract.sh\ntest-nonempty-diff.sh\ntest-operating-mode-contract.sh\ntest-post-migration-validator.sh\ntest-reference-research-terminology.sh\ntest-smart-sync.sh\ntest-sprint-5-agent-model.sh\nvalidate-evidence-structure.sh\nvalidate-file-naming.sh\nvalidate-frontmatter.sh\nvalidate-nonempty-diff.sh\nvalidate-repository-structure.sh\n=== CONTRIBUTING ===\n---\nstatus: canonical\nversion: 1.11\nupdated: 2026-08-11\ntemperature: 0.1\n---\n\n# Contributing\n\nВклад в репозиторий должен сохранять малый размер активных контрактов,\ntraceability и практическую полезность для hybrid human + AI work.\n\n## Workflow\n\n1. Начинайте с GitHub issue, где есть context, scope, язык результата,\n acceptance criteria и forbidden changes.\n2. Используйте единый 5-блочный шаблон\n [.github/ISSUE_TEMPLATE/task.md](.github/ISSUE_TEMPLATE/task.md) или\n GitHub-native форму [.github/ISSUE_TEMPLATE/task.yml](.github/ISSUE_TEMPLATE/task.yml):\n Контекст, Цель, SSOT, Контракты задачи, Готово когда.\n3. Режим работы задаётся полем `Operating Mode`\n (`Structured` / `Creative` / `Hybrid`), а не отдельным шаблоном. В Creative\n описывайте цель, constraints и Definition of Done, не предписывая исполнителю\n лишние шаги реализации.\n4. Выбирайте целевой каталог по\n [pr-ops/repo-model.md](pr-ops/repo-model.md),\n [docs/rfc/knowledge-lifecycle-proposal.md](docs/rfc/knowledge-lifecycle-proposal.md) и\n [docs/rfc/resolve-artifact-location-proposal.md](docs/rfc/resolve-artifact-location-proposal.md),\n если место артефакта не очевидно.\n5. Используйте ближайший стандарт из [standards/README.md](standards/README.md).\n6. Держите изменение reviewable: одна цель, понятные ссылки, без unrelated\n restructuring.\n7. Обновляйте навигацию, changelog и artifact map, если новый active artifact\n становится частью публичного контракта репозитория.\n8. Запускайте локальную проверку перед открытием или обновлением PR.\n\n## AI-Assisted Work\n\nAI agents начинают с [GOVERNANCE.md](GOVERNANCE.md), затем применяют\n[AI Governance](ai-governance/ai-governance.md) и\n[Agent Work Rules](ai-rules/agent-work-rules.md): читают issue и\nпоследние комментарии, сохраняют human decision rights, не публикуют sensitive\ndata и работают внутри requested scope.\n\n### Правило авто-заполнения Мета\n\nАвтор задачи может указать только цель и Operating Mode. AI-агент обязан\nдостроить рабочую Мета из активных контрактов:\n\nOperating Mode одновременно регулирует ширину автономии по\n[Принципу 3 ADR-010](docs/adr/2026-08-adr-010-agent-autonomy-principles.md):\n`Structured`, `Creative` и `Hybrid` не меняют цель и абсолютные границы.\n\n| Что отсутствует | Как достраивается |\n| --- | --- |\n| Target artifact | По `pr-ops/artifact-map.md`, `pr-ops/repo-model.md` и resolver prompt. |\n| Lifecycle stage | По `docs/rfc/knowledge-lifecycle-proposal.md`; сомнительный переход записывается как gap. |\n| L1-L4 link | Product docs дают L1-L2, governance/standards/templates дают L3-L4. |\n| Validation | Минимум: frontmatter, structure validator, manifest check when templates changed. |\n\nЯвная Мета в issue имеет приоритет, если она не нарушает hard rules. Если\nправило нарушено, агент фиксирует конфликт и запрашивает guidance.\n\nМетка `no-diff-expected` — человеческое документированное исключение для PR,\nкоторый намеренно не должен содержать дифф (например, обсуждение или retarget).\nАгент не ставит её самостоятельно; обычный PR обязан содержать полезный дифф.\n\nHistorical migration material используется только как source context через\naudit, PR history или явно указанный `source` path. Новый active artifact должен\nпоказывать, откуда перенесено содержание и почему оно остается полезным.\n\n### Консолидация открытых вопросов\n\nПри создании дайджеста сессии, если в ней есть открытые вопросы, Исполнитель\nдолжен добавить их в [`pr-ops/backlog.md`](pr-ops/backlog.md), секция\n«Открытые вопросы». Если вопрос уже есть в BACKLOG — не дублировать, добавить\nссылку на дайджест в колонку «Связанные дайджесты».\n\n### Работа с внешними источниками\n\nПолный свод правил — в\n[research/external-knowledge/README.md](research/external-knowledge/README.md),\nраздел «Правила работы с внешними источниками». Краткая выжимка:\n\n- **Распознавание.** Метка `research`/«исследование» без ссылки = широкий поиск;\n конкретный URL = изучение именно этого источника.\n- **Фиксация.** Факт изучения → в\n [реестр](research/external-knowledge/external-sources-registry.md) **ВСЕГДА**.\n Полезный вывод → инсайт в\n [external-insights/](research/external-knowledge/external-insights/). Если\n источник не полезен для текущей фазы, но содержит идеи для будущих фаз или\n смежных тем, он маркируется тегами `future-phase: X`, `topic: Y` (при\n необходимости `use-case: Z`) и сохраняется в БЗ как задел на будущее.\n Повторный анализ инициирует только Пользователь.\n- **Отклонение.** Источники с явными признаками хайпа или воды (нет кода для\n проверки, нет метрик результата, только маркетинговые обещания) отклоняются\n полностью: только факт в реестре со статусом `rejected` и пометкой\n «отклонено», без инсайта.\n- **Чистота.** Факты изучения внешних источников **НЕ** попадают в `CHANGELOG.md`\n проектов.\n- **Traceability.** Автор/организация, дата и язык фиксируются всегда; лицензия —\n когда применима.\n\n### Специфика работы с AI-агентами\n\n- Каждый запуск агента - новая сессия. Передавайте summary, issue, PR или\n handover prompt, если нужен контекст предыдущей работы.\n- Агент не мониторит GitHub comments, review comments и CI после остановки\n сессии. Для продолжения нужен manual restart.\n- Comment + manual restart означает итерацию в том же PR; merge означает\n принятие результата; close без merge означает отклонение или отмену.\n- Агент не заполняет пустые поля задачи выдуманными значениями. Недостающий\n контекст фиксируется как gap или вопрос.\n- В Creative mode допустим обоснованный обход рекомендации Хаба, если он не\n нарушает hard bans и записан в PR, ADR/RFC или audit.\n\n## Frontmatter\n\nНовые и существенно изменённые Markdown-артефакты используют necessary and\nsufficient frontmatter из\n[standards/frontmatter-standard.md](standards/frontmatter-standard.md) и\n[standards/frontmatter-docs-standard.md](standards/frontmatter-docs-standard.md):\nбазовые поля `status`, `version`, `updated`, `temperature` плюс обязательные\nполя класса документа. Governance-артефакты требуют `owner`, ADR требует\n`decision-type`, RFC требует `rfc-scope`. `ai-generated` во frontmatter\nзапрещён.\n\n## File Naming\n\nНовые и мигрируемые хронологические Markdown-артефакты используют date-first\nимена по [standards/file-naming.md](standards/file-naming.md):\n`YYYY-MM-DD-name.md` для Hub `research/`, Hub `docs/report/` и spoke\n`docs/analysis/`;\n`YYYY-MM-name.md` или `YYYY-name.md` для spoke `docs/rfc/`;\n`YYYY-MM-adr-NNN-name.md` для spoke ADR.\nПроверяемые области: Hub `research/`, Hub `docs/report/`, spoke\n`docs/analysis/`, `docs/rfc/` и `docs/adr/`.\n\n## Локальная проверка\n\n```bash\nbash tools/test-frontmatter-validator.sh\nbash tools/test-smart-sync.sh\nbash tools/test-reference-research-terminology.sh\nbash tools/test-agent-onboarding-authorization.sh\nbash tools/test-operating-mode-contract.sh\nbash tools/test-check-agent-work-rules-size.sh\nbash tools/test-nonempty-diff.sh\n./tools/check-agent-work-rules-size.sh\n./tools/validate-file-naming.sh\n./tools/validate-frontmatter.sh .\n./tools/validate-repository-structure.sh\npython3 tools/generate-manifest.py --check\n```\n\n## Постусловие непустого диффа\n\nКаждый pull request обязан содержать непустой полезный дифф. Постусловие\nпроверяется механически: шаг `Validate nonempty diff` в\n[.github/workflows/validate.yml](.github/workflows/validate.yml) запускает\n[tools/validate-nonempty-diff.sh](tools/validate-nonempty-diff.sh) на событии\n`pull_request`. Дифф считается three-dot от `merge-base`, поэтому проверка\nустойчива к движению base-ветки и к merge-коммитам. Изменения исключительно в\nслужебных файлах-заглушках полезным диффом не считаются; тело PR в git не\nхранится и в дифф не входит.\n\nИсточник правила — [RFC #470](docs/rfc/2026-08-06-rfc-task-statement-architecture.md),\nраздел «Implementation and Validation», шаг 1.\n\n### Escape-метка `no-diff-expected`\n\nЕсли PR намеренно не содержит изменений кода или документов (например, PR с\nвопросом к человеку), проверка пропускается меткой `no-diff-expected`.\n\n- Метку ставит **только owner или admin репозитория**. Метка, поставленная\n любым другим пользователем, проверку не пропускает: CI падает с явным\n сообщением о неавторизованной метке.\n- Агент **не ставит** эту метку сам и не просит её как способ обойти пустой\n результат работы; вместо этого он фиксирует, что именно не выполнено, и\n задаёт вопрос в PR.\n\n## Pull Request Checklist\n\n- PR связан с issue.\n- Измененные файлы соответствуют целевой структуре.\n- Новые артефакты ссылаются на standards или объясняют, почему стандарта пока\n нет.\n- Перенос historical material указывает source path.\n- Creative override, если был, записан с rationale и validation.\n- Локальная проверка указана в PR.\n- Риски, допущения и human review focus сформулированы явно.", | |
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| [2026-08-11T19:23:32.790Z] [INFO] "stdout": "=== research/ tree ===\nresearch/README.md\nresearch/ai-education/README.md\nresearch/ai-education/evaluation/00-introduction.md\nresearch/ai-education/evaluation/10-theory.md\nresearch/ai-education/evaluation/20-taxonomy.md\nresearch/ai-education/evaluation/2026-08-11-source-intelligence-evals-contract.md\nresearch/ai-education/evaluation/30-decision-framework.md\nresearch/ai-education/evaluation/40-practice-and-cases.md\nresearch/ai-education/evaluation/50-open-research.md\nresearch/ai-education/information-extraction-graph-modeling/00-introduction.md\nresearch/ai-education/information-extraction-graph-modeling/10-theory.md\nresearch/ai-education/information-extraction-graph-modeling/20-taxonomy.md\nresearch/ai-education/information-extraction-graph-modeling/30-decision-framework.md\nresearch/ai-education/information-extraction-graph-modeling/40-practice-and-cases.md\nresearch/ai-education/information-extraction-graph-modeling/50-open-research.md\nresearch/ai-education/memory/00-introduction.md\nresearch/ai-education/memory/10-theory.md\nresearch/ai-education/memory/20-taxonomy.md\nresearch/ai-education/memory/30-decision-framework.md\nresearch/ai-education/memory/40-practice-and-cases.md\nresearch/ai-education/memory/50-open-research.md\nresearch/ai-education/multi-agent-orchestration/00-introduction.md\nresearch/ai-education/multi-agent-orchestration/10-theory.md\nresearch/ai-education/multi-agent-orchestration/20-taxonomy.md\nresearch/ai-education/multi-agent-orchestration/30-decision-framework.md\nresearch/ai-education/multi-agent-orchestration/40-practice-and-cases.md\nresearch/ai-education/multi-agent-orchestration/50-open-research.md\nresearch/ai-education/observability/00-introduction.md\nresearch/ai-education/observability/10-theory.md\nresearch/ai-education/observability/20-taxonomy.md\nresearch/ai-education/observability/30-decision-framework.md\nresearch/ai-education/observability/40-practice-and-cases.md\nresearch/ai-education/observability/50-open-research.md\nresearch/ai-education/retrieval/00-introduction.md\nresearch/ai-education/retrieval/10-theory.md\nresearch/ai-education/retrieval/20-taxonomy.md\nresearch/ai-education/retrieval/30-decision-framework.md\nresearch/ai-education/retrieval/40-practice-and-cases.md\nresearch/ai-education/retrieval/50-open-research.md\nresearch/ai-education/task-processing/00-introduction.md\nresearch/ai-education/task-processing/10-theory.md\nresearch/ai-education/task-processing/20-taxonomy.md\nresearch/ai-education/task-processing/30-decision-framework.md\nresearch/ai-education/task-processing/40-practice-and-cases.md\nresearch/ai-education/task-processing/50-open-research.md\nresearch/ai-education/tool-use/00-introduction.md\nresearch/ai-education/tool-use/10-theory.md\nresearch/ai-education/tool-use/20-taxonomy.md\nresearch/ai-education/tool-use/30-decision-framework.md\nresearch/ai-education/tool-use/40-practice-and-cases.md\nresearch/ai-education/tool-use/50-open-research.md\nresearch/cicd/2026-06-09-js-cicd-template-analysis.md\nresearch/cicd/README.md\nresearch/education/2026-07-16-retrieval-strategies-survey.md\nresearch/education/README.md\nresearch/external-knowledge/2026-06-18-wigers-requirements-analysis.md\nresearch/external-knowledge/README.md\nresearch/external-knowledge/external-insights/2026-06-13-12-factor-agents.md\nresearch/external-knowledge/external-insights/2026-06-13-building-effective-agents.md\nresearch/external-knowledge/external-insights/2026-06-13-spec-driven-development.md\nresearch/external-knowledge/external-insights/2026-06-15-agent-local-memory-context.md\nresearch/external-knowledge/external-insights/2026-06-15-structured-prompt-driven-development.md\nresearch/external-knowledge/external-insights/README.md\nresearch/external-knowledge/external-sources-registry.md\nresearch/governance/2026-06-06-contract-documentation-format.md\nresearch/governance/2026-06-06-executable-contract-format.md\nresearch/governance/2026-06-06-governance-folder-structure-decisions.md\nresearch/governance/2026-06-06-research-documentation-format.md\nresearch/governance/README.md\nresearch/hub/2026-05-28-project-context-and-bootstrap-patterns.md\nresearch/hub/2026-05-28-prompts-classification-audit.md\nresearch/hub/2026-05-28-prompts-classification-standard.md\nresearch/hub/2026-05-28-user-prompts-analysis.md\nresearch/hub/2026-06-01-team-c-governance-strategy-audit.md\nresearch/hub/2026-06-02-ai-collaboration-retrospective-mango-migration.md\nresearch/hub/2026-06-02-ai-collaboration-retrospective.md\nresearch/hub/2026-06-02-external-governance-patterns-review.md\nresearch/hub/2026-06-12-ecosystem-governance-audit.md\nresearch/hub/2026-06-12-external-practice-intake.md\nresearch/hub/2026-06-12-international-ai-governance-practices.md\nresearch/hub/2026-06-20-ecosystem-architecture-research.md\nresearch/hub/2026-06-23-repository-structure-concept.md\nresearch/hub/2026-06-25-artifact-inventory-and-classification.md\nresearch/hub/2026-06-27-adr-industry-norms-and-variants.md\nresearch/hub/2026-06-27-rfc-industry-norms-and-variants.md\nresearch/hub/2026-06-28-research-analysis-audit-inventory.md\nresearch/hub/2026-06-28-ripple-effects-282-research.md\nresearch/hub/2026-06-30-reports-industry-norms-and-standardization-scope.md\nresearch/hub/2026-07-02-task-execution-modes-research.md\nresearch/hub/2026-07-04-hub-as-agent-system-global-analysis.md\nresearch/hub/2026-07-31-ops-task-strategy-validation.md\nresearch/hub/README.md\nresearch/hub/exp/analysis-inventory-342/2026-07-02-analysis-artifact-matrix.md\nresearch/hub/exp/analysis-inventory-342/README.md\nresearch/hub/exp/analysis-inventory-342/analysis-inventory.json\nresearch/hub/exp/analysis-inventory-342/scan-analysis.py\nresearch/hub/exp/ops-task-strategy-461/README.md\nresearch/hub/exp/ops-task-strategy-461/analysis-outcomes.json\nresearch/hub/exp/ops-task-strategy-461/analyze-outcomes.log\nresearch/hub/exp/ops-task-strategy-461/analyze-outcomes.py\nresearch/hub/exp/ops-task-strategy-461/collect-evidence.log\nresearch/hub/exp/ops-task-strategy-461/collect-evidence.py\nresearch/hub/exp/ops-task-strategy-461/corpus-metrics.json\nresearch/hub/exp/ops-task-strategy-461/experiment-closure.json\nresearch/hub/exp/ops-task-strategy-461/experiment-closure.log\nresearch/hub/exp/ops-task-strategy-461/experiment-closure.py\nresearch/hub/exp/ops-task-strategy-461/experiment-references.json\nresearch/hub/exp/ops-task-strategy-461/experiment-references.log\nresearch/hub/exp/ops-task-strategy-461/experiment-references.py\nresearch/hub/exp/ops-task-strategy-461/model-contract-index.json\nresearch/hub/exp/ops-task-strategy-461/model-contract-index.log\nresearch/hub/exp/ops-task-strategy-461/model-contract-index.py\nresearch/hub/exp/reports-inventory-310/2026-07-01-reports-artifact-matrix.md\nresearch/hub/exp/reports-inventory-310/README.md\nresearch/hub/exp/reports-inventory-310/reports-inventory.json\nresearch/hub/exp/reports-inventory-310/scan-reports.py\nresearch/hub/exp/research-analysis-audit-288/2026-06-28-artifact-classification-matrix.md\nresearch/hub/exp/research-analysis-audit-288/README.md\nresearch/hub/exp/research-analysis-audit-288/artifact-classification.json\nresearch/hub/exp/research-analysis-audit-288/scan-artifacts.py\nresearch/hub/exp/rfc-adr-industry-norms-278/2026-06-27-adr-external-tree-summary.md\nresearch/hub/exp/rfc-adr-industry-norms-278/2026-06-27-local-rfc-adr-audit.md\nresearch/hub/exp/rfc-adr-industry-norms-278/2026-06-27-rfc-external-tree-summary.md\nresearch/hub/exp/rfc-adr-industry-norms-278/README.md\nresearch/hub/exp/rfc-adr-industry-norms-278/adr-external-tree-summary.json\nresearch/hub/exp/rfc-adr-industry-norms-278/collect-evidence.log\nresearch/hub/exp/rfc-adr-industry-norms-278/collect-evidence.py\nresearch/hub/exp/rfc-adr-industry-norms-278/local-rfc-adr-audit.json\nresearch/hub/exp/rfc-adr-industry-norms-278/rfc-external-tree-summary.json\nresearch/hub/exp/ripple-effects-282/2026-06-28-frontmatter-scan.md\nresearch/hub/exp/ripple-effects-282/README.md\nresearch/hub/exp/ripple-effects-282/frontmatter-scan.json\nresearch/hub/exp/ripple-effects-282/scan-frontmatter.py\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test1-backlog.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test2-issues.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test3-conflict.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test4-evolution.md\nresearch/hub/exp/task-execution-modes-330/2026-07-02-test5-industry.md\nresearch/hub/exp/task-execution-modes-330/README.md\nresearch/hub/exp/task-execution-modes-330/classify.py\nresearch/hub/exp/task-execution-modes-330/results.json\nresearch/hub/exp/task-execution-modes-330/run.log\nresearch/mango/2026-05-22-classification-tz.md\nresearch/mango/2026-05-22-classification.md\nresearch/mango/2026-05-22-requirements-flow.md\nresearch/mango/2026-05-26-rag-mapping-roadmap.md\nresearch/mango/2026-05-26-requirements-lifecycle-uncertainty.md\nresearch/mango/2026-05-26-taxonomy-concept.md\nresearch/mango/2026-05-27-capability-decomposition.md\nresearch/mango/2026-06-18-ai-classifications-formalization.md\nresearch/mango/2026-06-18-requirements-engineering-ai-era.md\nresearch/mango/2026-06-19-repository-structure-vision.md\nresearch/mango/2026-06-19-token-optimization-proposal.md\nresearch/mango/README.md\nresearch/open-ai-ru/2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md\nresearch/open-ai-ru/README.md\nresearch/reputation-technologies/2026-06-20-executive-summary.ru-en.md\nresearch/reputation-technologies/2026-06-20-founders-vision-and-framework.ru.md\nresearch/reputation-technologies/2026-06-20-framework-standard.en.md\nresearch/reputation-technologies/2026-06-20-glossary.ru-en.md\nresearch/reputation-technologies/2026-06-20-white-paper.en.md\nresearch/reputation-technologies/2026-06-29-partner-attraction-strategy.ru.md\nresearch/reputation-technologies/README.md\n=== docs/analysis ===\n2026-06-30-backlog-and-artifact-change-policy-analysis.md\n2026-07-01-reports-artifacts-inventory.md\n2026-07-02-analysis-artifacts-inventory.md\n2026-07-02-audit-artifacts-deep-analysis.md\n2026-07-04-hub-migration-and-root-structure-plan.md\n2026-07-04-kb-runs-hub-applicability-analysis.md\n2026-07-10-r-a-a-report-structural-desync-options.md\n2026-07-17-mango-artifacts-migration-plan.md\n2026-08-11-sequential-task-contract-ambiguity-analysis.md\n=== docs/rfc ===\n2026-06-27-rfc-adr-standard.md\n2026-06-27-rfc-rfc-standard.md\n2026-06-30-rfc-research-structure.md\n2026-07-02-rfc-analysis-structure.md\n2026-07-02-rfc-audit-structure.md\n2026-07-02-rfc-reports-structure.md\n2026-07-17-rfc-reference-research-pattern.md\n2026-08-06-rfc-task-statement-architecture.md\nREADME.md\ncontract-executability-rfc.md\ndocumentation-architecture-balance.md\ndraft-triage-and-exit-plan.md\nexternal-knowledge-integration.md\nhtom-vs-spoke-clarification-2026-06.md\nhub-vision-concept-proposal-2026-06.md\nknowledge-lifecycle-proposal.md\nmethodology-research-and-proposals.md\nproduct-concept-template-proposal.md\nrepository-archetypes-template-release.md\nrepository-quality-improvement-plan.md\nresearch-memory-source-intelligence.md\nresolve-artifact-location-proposal.md\nrfc-two-cases-of-project-initialization.md\nsolution-concept-template-proposal.md\ntech-debt-solutions-proposal-2026-06.md\n=== tools ===\ncheck-agent-work-rules-size.sh\ngenerate-manifest.py\nsync-from-hub.sh\ntest-agent-onboarding-authorization.sh\ntest-check-agent-work-rules-size.sh\ntest-evidence-structure-validator.sh\ntest-frontmatter-validator.sh\ntest-mango-kb-migration-contract.sh\ntest-nonempty-diff.sh\ntest-operating-mode-contract.sh\ntest-post-migration-validator.sh\ntest-reference-research-terminology.sh\ntest-smart-sync.sh\ntest-sprint-5-agent-model.sh\nvalidate-evidence-structure.sh\nvalidate-file-naming.sh\nvalidate-frontmatter.sh\nvalidate-nonempty-diff.sh\nvalidate-repository-structure.sh\n=== CONTRIBUTING ===\n---\nstatus: canonical\nversion: 1.11\nupdated: 2026-08-11\ntemperature: 0.1\n---\n\n# Contributing\n\nВклад в репозиторий должен сохранять малый размер активных контрактов,\ntraceability и практическую полезность для hybrid human + AI work.\n\n## Workflow\n\n1. Начинайте с GitHub issue, где есть context, scope, язык результата,\n acceptance criteria и forbidden changes.\n2. Используйте единый 5-блочный шаблон\n [.github/ISSUE_TEMPLATE/task.md](.github/ISSUE_TEMPLATE/task.md) или\n GitHub-native форму [.github/ISSUE_TEMPLATE/task.yml](.github/ISSUE_TEMPLATE/task.yml):\n Контекст, Цель, SSOT, Контракты задачи, Готово когда.\n3. Режим работы задаётся полем `Operating Mode`\n (`Structured` / `Creative` / `Hybrid`), а не отдельным шаблоном. В Creative\n описывайте цель, constraints и Definition of Done, не предписывая исполнителю\n лишние шаги реализации.\n4. Выбирайте целевой каталог по\n [pr-ops/repo-model.md](pr-ops/repo-model.md),\n [docs/rfc/knowledge-lifecycle-proposal.md](docs/rfc/knowledge-lifecycle-proposal.md) и\n [docs/rfc/resolve-artifact-location-proposal.md](docs/rfc/resolve-artifact-location-proposal.md),\n если место артефакта не очевидно.\n5. Используйте ближайший стандарт из [standards/README.md](standards/README.md).\n6. Держите изменение reviewable: одна цель, понятные ссылки, без unrelated\n restructuring.\n7. Обновляйте навигацию, changelog и artifact map, если новый active artifact\n становится частью публичного контракта репозитория.\n8. Запускайте локальную проверку перед открытием или обновлением PR.\n\n## AI-Assisted Work\n\nAI agents начинают с [GOVERNANCE.md](GOVERNANCE.md), затем применяют\n[AI Governance](ai-governance/ai-governance.md) и\n[Agent Work Rules](ai-rules/agent-work-rules.md): читают issue и\nпоследние комментарии, сохраняют human decision rights, не публикуют sensitive\ndata и работают внутри requested scope.\n\n### Правило авто-заполнения Мета\n\nАвтор задачи может указать только цель и Operating Mode. AI-агент обязан\nдостроить рабочую Мета из активных контрактов:\n\nOperating Mode одновременно регулирует ширину автономии по\n[Принципу 3 ADR-010](docs/adr/2026-08-adr-010-agent-autonomy-principles.md):\n`Structured`, `Creative` и `Hybrid` не меняют цель и абсолютные границы.\n\n| Что отсутствует | Как достраивается |\n| --- | --- |\n| Target artifact | По `pr-ops/artifact-map.md`, `pr-ops/repo-model.md` и resolver prompt. |\n| Lifecycle stage | По `docs/rfc/knowledge-lifecycle-proposal.md`; сомнительный переход записывается как gap. |\n| L1-L4 link | Product docs дают L1-L2, governance/standards/templates дают L3-L4. |\n| Validation | Минимум: frontmatter, structure validator, manifest check when templates changed. |\n\nЯвная Мета в issue имеет приоритет, если она не нарушает hard rules. Если\nправило нарушено, агент фиксирует конфликт и запрашивает guidance.\n\nМетка `no-diff-expected` — человеческое документированное исключение для PR,\nкоторый намеренно не должен содержать дифф (например, обсуждение или retarget).\nАгент не ставит её самостоятельно; обычный PR обязан содержать полезный дифф.\n\nHistorical migration material используется только как source context через\naudit, PR history или явно указанный `source` path. Новый active artifact должен\nпоказывать, откуда перенесено содержание и почему оно остается полезным.\n\n### Консолидация открытых вопросов\n\nПри создании дайджеста сессии, если в ней есть открытые вопросы, Исполнитель\nдолжен добавить их в [`pr-ops/backlog.md`](pr-ops/backlog.md), секция\n«Открытые вопросы». Если вопрос уже есть в BACKLOG — не дублировать, добавить\nссылку на дайджест в колонку «Связанные дайджесты».\n\n### Работа с внешними источниками\n\nПолный свод правил — в\n[research/external-knowledge/README.md](research/external-knowledge/README.md),\nраздел «Правила работы с внешними источниками». Краткая выжимка:\n\n- **Распознавание.** Метка `research`/«исследование» без ссылки = широкий поиск;\n конкретный URL = изучение именно этого источника.\n- **Фиксация.** Факт изучения → в\n [реестр](research/external-knowledge/external-sources-registry.md) **ВСЕГДА**.\n Полезный вывод → инсайт в\n [external-insights/](research/external-knowledge/external-insights/). Если\n источник не полезен для текущей фазы, но содержит идеи для будущих фаз или\n смежных тем, он маркируется тегами `future-phase: X`, `topic: Y` (при\n необходимости `use-case: Z`) и сохраняется в БЗ как задел на будущее.\n Повторный анализ инициирует только Пользователь.\n- **Отклонение.** Источники с явными признаками хайпа или воды (нет кода для\n проверки, нет метрик результата, только маркетинговые обещания) отклоняются\n полностью: только факт в реестре со статусом `rejected` и пометкой\n «отклонено», без инсайта.\n- **Чистота.** Факты изучения внешних источников **НЕ** попадают в `CHANGELOG.md`\n проектов.\n- **Traceability.** Автор/организация, дата и язык фиксируются всегда; лицензия —\n когда применима.\n\n### Специфика работы с AI-агентами\n\n- Каждый запуск агента - новая сессия. Передавайте summary, issue, PR или\n handover prompt, если нужен контекст предыдущей работы.\n- Агент не мониторит GitHub comments, review comments и CI после остановки\n сессии. Для продолжения нужен manual restart.\n- Comment + manual restart означает итерацию в том же PR; merge означает\n принятие результата; close без merge означает отклонение или отмену.\n- Агент не заполняет пустые поля задачи выдуманными значениями. Недостающий\n контекст фиксируется как gap или вопрос.\n- В Creative mode допустим обоснованный обход рекомендации Хаба, если он не\n нарушает hard bans и записан в PR, ADR/RFC или audit.\n\n## Frontmatter\n\nНовые и существенно изменённые Markdown-артефакты используют necessary and\nsufficient frontmatter из\n[standards/frontmatter-standard.md](standards/frontmatter-standard.md) и\n[standards/frontmatter-docs-standard.md](standards/frontmatter-docs-standard.md):\nбазовые поля `status`, `version`, `updated`, `temperature` плюс обязательные\nполя класса документа. Governance-артефакты требуют `owner`, ADR требует\n`decision-type`, RFC требует `rfc-scope`. `ai-generated` во frontmatter\nзапрещён.\n\n## File Naming\n\nНовые и мигрируемые хронологические Markdown-артефакты используют date-first\nимена по [standards/file-naming.md](standards/file-naming.md):\n`YYYY-MM-DD-name.md` для Hub `research/`, Hub `docs/report/` и spoke\n`docs/analysis/`;\n`YYYY-MM-name.md` или `YYYY-name.md` для spoke `docs/rfc/`;\n`YYYY-MM-adr-NNN-name.md` для spoke ADR.\nПроверяемые области: Hub `research/`, Hub `docs/report/`, spoke\n`docs/analysis/`, `docs/rfc/` и `docs/adr/`.\n\n## Локальная проверка\n\n```bash\nbash tools/test-frontmatter-validator.sh\nbash tools/test-smart-sync.sh\nbash tools/test-reference-research-terminology.sh\nbash tools/test-agent-onboarding-authorization.sh\nbash tools/test-operating-mode-contract.sh\nbash tools/test-check-agent-work-rules-size.sh\nbash tools/test-nonempty-diff.sh\n./tools/check-agent-work-rules-size.sh\n./tools/validate-file-naming.sh\n./tools/validate-frontmatter.sh .\n./tools/validate-repository-structure.sh\npython3 tools/generate-manifest.py --check\n```\n\n## Постусловие непустого диффа\n\nКаждый pull request обязан содержать непустой полезный дифф. Постусловие\nпроверяется механически: шаг `Validate nonempty diff` в\n[.github/workflows/validate.yml](.github/workflows/validate.yml) запускает\n[tools/validate-nonempty-diff.sh](tools/validate-nonempty-diff.sh) на событии\n`pull_request`. Дифф считается three-dot от `merge-base`, поэтому проверка\nустойчива к движению base-ветки и к merge-коммитам. Изменения исключительно в\nслужебных файлах-заглушках полезным диффом не считаются; тело PR в git не\nхранится и в дифф не входит.\n\nИсточник правила — [RFC #470](docs/rfc/2026-08-06-rfc-task-statement-architecture.md),\nраздел «Implementation and Validation», шаг 1.\n\n### Escape-метка `no-diff-expected`\n\nЕсли PR намеренно не содержит изменений кода или документов (например, PR с\nвопросом к человеку), проверка пропускается меткой `no-diff-expected`.\n\n- Метку ставит **только owner или admin репозитория**. Метка, поставленная\n любым другим пользователем, проверку не пропускает: CI падает с явным\n сообщением о неавторизованной метке.\n- Агент **не ставит** эту метку сам и не просит её как способ обойти пустой\n результат работы; вместо этого он фиксирует, что именно не выполнено, и\n задаёт вопрос в PR.\n\n## Pull Request Checklist\n\n- PR связан с issue.\n- Измененные файлы соответствуют целевой структуре.\n- Новые артефакты ссылаются на standards или объясняют, почему стандарта пока\n нет.\n- Перенос historical material указывает source path.\n- Creative override, если был, записан с rationale и validation.\n- Локальная проверка указана в PR.\n- Риски, допущения и human review focus сформулированы явно.", | |
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| [2026-08-11T19:23:43.004Z] [INFO] "content": "1\t---\n2\tstatus: draft\n3\tversion: 0.2\n4\tupdated: 2026-07-31\n5\ttemperature: 0.2\n6\towner: G-Ivan-A\n7\trfc-scope: A\n8\ttype: rfc\n9\tcontext: [research-structure, reference-pattern, ai-education, retrieval, research-method]\n10\tmethod: pattern-extraction + single-domain-validation\n11\tscope: repo-wide\n12\tsource: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\"\n13\trelated_artifacts:\n14\t - \"research/ai-education/retrieval/00-introduction.md\"\n15\t - \"research/ai-education/retrieval/10-theory.md\"\n16\t - \"research/ai-education/retrieval/20-taxonomy.md\"\n17\t - \"research/ai-education/retrieval/30-decision-framework.md\"\n18\t - \"research/ai-education/retrieval/40-practice-and-cases.md\"\n19\t - \"research/ai-education/retrieval/50-open-research.md\"\n20\t - \"research/education/2026-07-16-retrieval-strategies-survey.md\"\n21\t - \"docs/rfc/2026-06-30-rfc-research-structure.md\"\n22\t - \"tools/validate-file-naming.sh\"\n23\trelated_issues:\n24\t - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\"\n25\t - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418\"\n26\t---\n27\t\n28\t# RFC: Reference Research Pattern — модульная структура research-артефактов в `research/ai-education/<domain>/`\n29\t\n30\t## RFC Metadata\n31\t\n32\t| Field | Value |\n33\t| --- | --- |\n34\t| Owner | G-Ivan-A |\n35\t| RFC status | draft (предложение; решение принимает фаундер) |\n36\t| Source issue | [#437](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437); [#418](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418) |\n37\t| Impacted artifacts | `research/ai-education/<domain>/`, `tools/validate-file-naming.sh`, `tools/validate-repository-structure.sh`, `pr-ops/artifact-map.md`, `docs/rfc/2026-06-30-rfc-research-structure.md` (соотношение, не правка) |\n38\t| Decision record | отсутствует (RFC в статусе `draft`; ADR не предлагается до валидации на ≥3 доменах) |\n39\t| Implementation link | [`research/ai-education/retrieval/`](../../research/ai-education/retrieval/00-introduction.md) — первая и единственная реализация (B-089) |\n40\t| Archetype scope | A (Governance & Knowledge Hub) |\n41\t\n42\t## Summary\n43\t\n44\tПредлагается **Reference Research Pattern** — референсная структура\n45\tresearch-артефакта, разбивающая исследование одного домена на шесть файлов в\n46\tкаталоге `research/ai-education/<domain>/`:\n47\t\n48\t```\n49\t[00-introduction, 10-theory, 20-taxonomy, 30-decision-framework, 40-practice, 50-open-research]\n50\t```\n51\t\n52\t**Статус паттерна: Experimental.** Это именно референсный паттерн — образец, на\n53\tкоторый можно опереться, — а не норма и не требование к другим доменам. Паттерн\n54\tпредъявлен на одной реализации и не имеет права предписывать что-либо, пока не\n55\tпроверен на нескольких независимых доменах (см. «Validation status»).\n56\t\n57\tRFC **не принимает** решение: он фиксирует наблюдение, показывает единственную\n58\tреализацию и предлагает критерий, по которому паттерн может быть впоследствии\n59\tповышен в статусе. Решение о повышении принимает фаундер.\n60\t\n61\t## Validation status\n62\t\n63\t> **Validated on:** Retrieval.\n64\t> **Planned validation:** Memory, Agents.\n65\t> **Criteria for promotion:** >= 3 independent domains.\n66\t\n67\tРасшифровка критерия: **независимый** домен — тот, чьё исследование ведёт другой\n68\tисполнитель или другой метод, а не тот же корпус под другим названием. Три\n69\tреализации на одном корпусе — это одна реализация, повторённая трижды, и она\n70\tничего не подтверждает. До достижения критерия паттерн остаётся `Experimental`,\n71\tи ссылаться на него как на обязательный нельзя.\n72\t\n73\t## Motivation\n74\t\n75\tИсследование retrieval-стратегий ([#418](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418))\n76\tбыло выполнено как один файл на 1854 строки. Документ содержателен, но\n77\tструктурно непригоден к эксплуатации по четырём причинам:\n78\t\n79\t1. **Нет маршрута чтения.** Фаундеру нужна матрица и вход для RFC-F; инженеру —\n80\t таксономии и chunking; автору курса — рамка и метафора. Все трое получают\n81\t один линейный текст и обязаны его отфильтровать сами.\n82\t2. **Теория и практика меняются с разной скоростью.** Индустриальные кейсы и\n83\t тренды устаревают за месяцы; объектная модель и точки решений — нет. В одном\n84\t файле обновление быстрой части требует трогать медленную.\n85\t3. **Ссылаться не на что.** Внутренние `§11.4` не адресуемы извне документа:\n86\t другой артефакт не может сослаться на «вывод 1 матрицы» иначе как на файл\n87\t целиком.\n88\t4. **Ревью нечленимо.** PR на 1854 строки ревьюится целиком или никак.\n89\t\n90\tРазбиение по issue [#437](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437)\n91\tустранило все четыре, не изменив ни одного содержательного утверждения. Вопрос\n92\tэтого RFC: является ли полученная структура воспроизводимой формой или частным\n93\tудобством одного домена. **Честный ответ на сегодня — неизвестно**, и статус\n94\t`Experimental` это фиксирует.\n95\t\n96\t## Goals and Non-goals\n97\t\n98\t**Goals.**\n99\t\n100\t- Зафиксировать структуру, полученную на домене Retrieval, в воспроизводимом виде.\n101\t- Отделить **Research Method** (как мы исследуем) от **Domain Methodology** (как\n102\t устроен объект исследования) — см. соответствующий раздел.\n103\t- Задать проверяемый критерий повышения статуса паттерна.\n104\t- Назвать условия, при которых паттерн **не** применим.\n105\t\n106\t**Non-goals.**\n107\t\n108\t- Не предписывать паттерн другим доменам и не мигрировать существующие\n109\t research-артефакты.\n110\t- Не отменять и не изменять\n111\t [RFC: Структура research](2026-06-30-rfc-research-structure.md): дата-первый\n112\t `research/<domain>/YYYY-MM-DD-name.md` остаётся основной формой; настоящий\n113\t паттерн — форма для **многофайлового модуля**, а не замена одиночного отчёта.\n114\t- Не принимать governance-решение: RFC остаётся `draft` до подтверждения фаундером.\n115\t\n116\t## Proposal\n117\t\n118\t### P1. Структура модуля\n119\t\n120\tКаталог: `research/ai-education/<domain>/`. Ровно шесть файлов, каждый — с\n121\tсобственным frontmatter и взаимными `related_artifacts`:\n122\t\n123\t| Файл | Содержание | Скорость изменения |\n124\t| --- | --- | --- |\n125\t| `00-introduction.md` | BLUF, карта чтения по аудиториям, граф зависимостей разделов | низкая |\n126\t| `10-theory.md` | Conceptual Framing, объектная модель, граф зависимостей, точки решений, гипотезы | низкая |\n127\t| `20-taxonomy.md` | таксономии входов и пространства решений | низкая |\n128\t| `30-decision-framework.md` | матрица выбора, механизмы, evaluation, шкала готовности | средняя |\n129\t| `40-practice.md` (`40-practice-and-cases.md`) | кейсы, тренды, иллюстрации и метафоры | **высокая** |\n130\t| `50-open-research.md` | открытые вопросы, вход для downstream-RFC, ранжирование гипотез, глоссарий, источники, самоаудит | высокая |\n131\t\n132\tНомерной префикс кратен десяти намеренно: он оставляет место для вставки файла\n133\t(`15-`, `35-`) без перенумерации модуля.\n134\t\n135\t### P2. Разделение веток «Теория» и «Практика»\n136\t\n137\tВетки разделены не тематически, а **по скорости устаревания и по классу\n138\tисточников**: теория опирается на воспроизводимые результаты, практика — в том\n139\tчисле на индустриальные публикации с числами вендоров на собственных данных.\n140\tСмешение двух классов в одном файле делает слабое утверждение неотличимым от\n141\tсильного.\n142\t\n143\tПрактика обязана **явно** ссылаться на своё основание — это видно в реализации:\n144\t[`40-practice-and-cases.md`](../../research/ai-education/retrieval/40-practice-and-cases.md)\n145\tоткрывается ссылками на\n146\t[`10-theory.md`](../../research/ai-education/retrieval/10-theory.md) и\n147\t[`30-decision-framework.md`](../../research/ai-education/retrieval/30-decision-framework.md).\n148\t\n149\t### P3. Cross-references вместо внутренних `§`\n150\t\n151\tСсылка между файлами — обычная Markdown-ссылка с якорем, а не внутренняя `§11.4`:\n152\tтекст `[Решения §1]` указывает на файл `30-decision-framework.md` и якорь\n153\t`#1-матрица-бз--запрос--стратегия-ядро-исследования`. Следствие: любой раздел адресуем извне модуля, а\n154\t`tools/validate-repository-structure.sh` проверяет ссылки автоматически —\n155\tструктурная деградация становится ошибкой CI, а не заметкой ревьюера.\n156\t\n157\t### P4. Research Method vs Domain Methodology\n158\t\n159\tЭто **центральное** различение RFC, и его смешение — главный способ применить\n160\tпаттерн неправильно.\n161\t\n162\t- **Research Method** описывает, как Хаб проводит исследование:\n163\t **Theory → Taxonomy → Decision Framework → Practice**.\n164\t- **Domain Methodology** описывает устройство конкретного объекта исследования:\n165\t **Conceptual Framing → Object Model → Decision Space**.\n166\t\n167\tПервая последовательность универсальна для Reference Research Pattern и задаёт\n168\tмаршрут работы. Вторая наполняется заново для каждого домена и задаёт содержание,\n169\tно не порядок проведения исследования.\n170\t\n171\t| | **Research Method** | **Domain Methodology** |\n172\t| --- | --- | --- |\n173\t| Отвечает на вопрос | как мы исследуем | как устроен объект исследования |\n174\t| Кому принадлежит | Хабу; общий для доменов | домену; у каждого свой |\n175\t| Что задаёт | членение артефакта, порядок работы (постановка → теория → таксономия → рамка решений → практика → открытые вопросы), требования к проверяемости и самоаудиту | содержание: E1–E11, K1–K6, Q1–Q10, S0–S6, матрица, L0–L5 — это устройство retrieval, а не устройство исследования |\n176\t| Предмет этого RFC | **да** | **нет** |\n177\t| Пример | «у практики обязано быть явное основание в теории» | «у БЗ шесть ортогональных осей» |\n178\t\n179\tПаттерн предлагает **только Research Method**. Файл `20-taxonomy.md` в другом\n180\tдомене будет содержать другие таксономии — или не будет содержать таксономий\n181\tвовсе, и тогда паттерн этому домену не подходит (см. Critical Analysis).\n182\tУтверждение «во всяком исследовании обязана быть таксономия» — это уже\n183\tDomain Methodology, и настоящий RFC его **не** делает.\n184\t\n185\t### P5. Обязательный механизм обратной связи «практика → теория»\n186\t\n187\tПервый из двух пунктов, добавленных исполнителем по своей инициативе (issue #437\n188\tдаёт такое право явно).\n189\t\n190\tРазделение веток создаёт риск, который в монолите отсутствовал: практика может\n191\tгодами накапливать наблюдения, противоречащие матрице, и оставаться **отдельным\n192\tфайлом**, никак на теорию не влияя. Разделение без обратной связи — это не\n193\tмодульность, а расслоение: теория консервируется, практика превращается в\n194\tсвалку исключений.\n195\t\n196\tПаттерн **обязательно** закрепляет триггер: **воспроизведённое расхождение\n197\tпрактики с рамкой решений — это дефект рамки, а не исключение практики**.\n198\t\n199\t| Условие | Действие |\n200\t| --- | --- |\n201\t| Кейс в `40-practice` воспроизводимо противоречит выводу `30-decision-framework` (независимый источник **или** собственный замер, а не одна вендорская публикация) | завести задачу на правку `30-decision-framework`; кейс помечается ссылкой на неё |\n202\t| Расхождение не воспроизведено / единственный источник — вендор на своих данных | вносится в `50-open-research` как открытый вопрос, рамка не трогается |\n203\t| Расхождение затрагивает объектную модель или точку решения | правка `10-theory` + обязательная ревизия зависящих разделов по графу из `00-introduction` |\n204\t\n205\tЭто делает стрелку «практика → теория» в графе зависимостей\n206\t`00-introduction.md` **исполняемой**, а не декоративной. Полноценная реализация\n207\t(кто заводит задачу, в какой срок) — вопрос к фаундеру, не решается здесь.\n208\t\n209\t### P6. Коллизия с `tools/validate-file-naming.sh` (предложение исполнителя)\n210\t\n211\tВторой пункт исполнителя — и это не улучшение, а **обнаруженный дефект\n212\tпредложения**, который нельзя замолчать.\n213\t\n214\t`tools/validate-file-naming.sh` требует от **всякого** `.md` внутри `research/`\n215\tимени вида `YYYY-MM-DD-name.md`. Имена `00-introduction.md` … `50-open-research.md`\n216\tэтому правилу противоречат по построению: номер в них — **порядок чтения**, а не\n217\tдата. Дата у модуля вообще не определена — файлы модуля живут разными циклами\n218\t(в этом весь смысл P2), и датировать их одним днём означало бы соврать в имени.\n219\t\n220\tЗдесь сталкиваются два законных требования Хаба: хронологическая адресуемость\n221\tresearch-артефактов и модульная адресуемость исследования. Настоящий RFC\n222\t**не разрешает** этот конфликт своей властью — это governance-решение фаундера.\n223\tВарианты, в порядке предпочтения исполнителя:\n224\t\n225\t1. **Исключение для модуля.** Разрешить `^(00|10|20|30|40|50)-[a-z0-9-]+\\.md$`\n226\t внутри каталога модуля (каталог опознаётся по наличию `00-*.md`).\n227\t Хронология переезжает в frontmatter (`updated`), где она и так есть и где\n228\t она честнее: имя файла всё равно не обновляется при правке.\n229\t2. **Дата в имени модуля.** `research/ai-education/2026-07-17-retrieval/00-introduction.md`:\n230\t каталог датирован, файлы — нет. Хронология сохранена на уровне модуля, но\n231\t каталог получает дату, которая устареет первой же правкой.\n232\t3. **Отказ от паттерна** в пользу одиночного датированного файла — то есть\n233\t принять четыре проблемы из Motivation как цену за единообразие.\n234\t\n235\t**Что сделано в этом PR.** Реализован вариант 1 в минимальном объёме: в\n236\t`tools/validate-file-naming.sh` добавлено исключение\n237\t`^(00|10|20|30|40|50)-[a-z0-9-]+\\.md$` для файлов внутри каталога, который\n238\tобъявляет себя модулем наличием точки входа `00-*.md`. Без этого локальная\n239\tвалидация не проходит, а нерабочая проверка хуже отсутствующей: она приучает\n240\tигнорировать красный CI. Исключение намеренно узкое — вне каталога с `00-*.md`\n241\tправило `YYYY-MM-DD-name.md` действует по-прежнему, для всего `research/`.\n242\t\n243\t**Что этим PR не решено.** Выбор между тремя вариантами — за фаундером\n244\t(Open Questions, Q1). Реализованное исключение — не аргумент в пользу варианта 1\n245\tи не создаёт прецедента: если принят вариант 2 или 3, исключение удаляется, а\n246\tмодуль переименовывается или сворачивается обратно.\n247\t\n248\t## Alternatives\n249\t\n250\t| Альтернатива | Почему не предложена |\n251\t| --- | --- |\n252\t| Оставить монолит, добавить оглавление | Оглавление решает только (1) из четырёх проблем Motivation; теория и практика остаются связанными одним циклом изменения |\n253\t| Два файла: `theory.md` + `practice.md` | Снимает (2), но не (3) и (4); и прячет самое ценное — рамку решений — внутрь теории, откуда на неё нельзя сослаться |\n254\t| Один файл на раздел (25+ файлов) | Адресуемость максимальна, читаемость нулевая: модуль перестаёт быть исследованием и становится вики |\n255\t| Зафиксировать структуру сразу как норму | Одна реализация не является доказательством воспроизводимости. Именно поэтому статус — `Experimental`, а критерий — ≥3 независимых домена |\n256\t\n257\t## Trade-offs\n258\t\n259\t**Цена, которую платит паттерн.**\n260\t\n261\t- **Шесть frontmatter вместо одного.** Взаимные `related_artifacts` нужно\n262\t поддерживать руками; рассинхронизация обнаруживается только глазами ревьюера.\n263\t- **Ссылки хрупки к переименованию заголовков.** Якорь ломается молча на GitHub —\n264\t и это уже случилось при реорганизации retrieval (заголовок содержал `§`-ссылку,\n265\t якорь изменился). Валидатор ловит битый путь к файлу, но не битый якорь.\n266\t- **Порог входа выше.** Шесть файлов пугают сильнее одного, даже когда суммарный\n267\t объём тот же.\n268\t- **Соблазн симметрии.** Как только структура названа, появляется желание\n269\t заполнить все шесть файлов в домене, где половина из них пуста. Пустой\n270\t `20-taxonomy.md` хуже отсутствующего.\n271\t\n272\t## Critical Analysis\n273\t\n274\t**Где паттерн, скорее всего, не сработает.**\n275\t\n276\t1. **Домен без пространства решений.** Если исследование не заканчивается\n277\t выбором, `30-decision-framework.md` вырождается в пересказ теории. Паттерн\n278\t выведен из домена, где выбор — суть; это его происхождение, а возможно —\n279\t и его граница.\n280\t2. **Домен без индустриальной практики.** Для нового поля `40-practice` пуст,\n281\t и разделение веток теряет смысл — оно и оправдано только разной скоростью\n282\t устаревания.\n283\t3. **Домен с одним автором и коротким циклом.** Издержки шести файлов не\n284\t окупаются, если артефакт пишется за день и не переживёт квартал.\n285\t4. **Наблюдение на выборке размера один.** Главный риск — обобщать структуру,\n286\t выведенную из единственного домена и единственным исполнителем. Retrieval\n287\t мог оказаться удобным частным случаем. Этот RFC не имеет права утверждать\n288\t обратное, и `Experimental` — не осторожная формулировка, а точное описание\n289\t доказательной базы.\n290\t\n291\t## Impacted Artifacts\n292\t\n293\t| Артефакт | Характер воздействия |\n294\t| --- | --- |\n295\t| `research/ai-education/retrieval/*` (6 файлов) | реализация паттерна (B-089) |\n296\t| `research/education/2026-07-16-retrieval-strategies-survey.md` | `status: superseded`, ссылка на модуль |\n297\t| `pr-ops/artifact-map.md` | строка монолита удалена, добавлены 6 + 1 |\n298\t| `tools/validate-file-naming.sh` | добавлено узкое исключение для файлов модуля (P6, вариант 1, минимальный объём); выбор итогового варианта — за фаундером (Q1) |\n299\t| `docs/rfc/2026-06-30-rfc-research-structure.md` | не изменяется; соотношение описано в Non-goals |\n300\t\n301\t## Open Questions\n302\t\n303\t| # | Вопрос | Кому |\n304\t| --- | --- | --- |\n305\t| Q1 | Какой из трёх вариантов P6 принимается? До ответа паттерн не может быть предложен другим доменам | фаундер |\n306\t| Q2 | Кто и в какой срок заводит задачу по триггеру P5? Без этого обратная связь остаётся благим намерением | фаундер |\n307\t| Q3 | Является ли `research/ai-education/` отдельным направлением или подпапкой `research/education/`? Реализация следует issue #437 (`ai-education`), но два соседних направления с близкими именами — источник ошибок адресации | фаундер |\n308\t| Q4 | Достаточно ли трёх доменов, если все три — образовательные? Критерий «независимости» может потребовать домена вне `ai-education` | фаундер |\n309\t\n310\t## Related Artifacts\n311\t\n312\t- [`research/ai-education/retrieval/00-introduction.md`](../../research/ai-education/retrieval/00-introduction.md) — реализация паттерна\n313\t- [`research/education/2026-07-16-retrieval-strategies-survey.md`](../../research/education/2026-07-16-retrieval-strategies-survey.md) — источник содержания (superseded)\n314\t- [`docs/rfc/2026-06-30-rfc-research-structure.md`](2026-06-30-rfc-research-structure.md) — форма одиночного research-отчёта\n315\t- [`AI_GOVERNANCE.md`](../../ai-governance/ai-governance.md) — Rule 4: исследование не является решением\n316\t" | |
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| [2026-08-11T19:23:43.004Z] [INFO] "content": "---\nstatus: draft\nversion: 0.2\nupdated: 2026-07-31\ntemperature: 0.2\nowner: G-Ivan-A\nrfc-scope: A\ntype: rfc\ncontext: [research-structure, reference-pattern, ai-education, retrieval, research-method]\nmethod: pattern-extraction + single-domain-validation\nscope: repo-wide\nsource: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\"\nrelated_artifacts:\n - \"research/ai-education/retrieval/00-introduction.md\"\n - \"research/ai-education/retrieval/10-theory.md\"\n - \"research/ai-education/retrieval/20-taxonomy.md\"\n - \"research/ai-education/retrieval/30-decision-framework.md\"\n - \"research/ai-education/retrieval/40-practice-and-cases.md\"\n - \"research/ai-education/retrieval/50-open-research.md\"\n - \"research/education/2026-07-16-retrieval-strategies-survey.md\"\n - \"docs/rfc/2026-06-30-rfc-research-structure.md\"\n - \"tools/validate-file-naming.sh\"\nrelated_issues:\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418\"\n---\n\n# RFC: Reference Research Pattern — модульная структура research-артефактов в `research/ai-education/<domain>/`\n\n## RFC Metadata\n\n| Field | Value |\n| --- | --- |\n| Owner | G-Ivan-A |\n| RFC status | draft (предложение; решение принимает фаундер) |\n| Source issue | [#437](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437); [#418](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418) |\n| Impacted artifacts | `research/ai-education/<domain>/`, `tools/validate-file-naming.sh`, `tools/validate-repository-structure.sh`, `pr-ops/artifact-map.md`, `docs/rfc/2026-06-30-rfc-research-structure.md` (соотношение, не правка) |\n| Decision record | отсутствует (RFC в статусе `draft`; ADR не предлагается до валидации на ≥3 доменах) |\n| Implementation link | [`research/ai-education/retrieval/`](../../research/ai-education/retrieval/00-introduction.md) — первая и единственная реализация (B-089) |\n| Archetype scope | A (Governance & Knowledge Hub) |\n\n## Summary\n\nПредлагается **Reference Research Pattern** — референсная структура\nresearch-артефакта, разбивающая исследование одного домена на шесть файлов в\nкаталоге `research/ai-education/<domain>/`:\n\n```\n[00-introduction, 10-theory, 20-taxonomy, 30-decision-framework, 40-practice, 50-open-research]\n```\n\n**Статус паттерна: Experimental.** Это именно референсный паттерн — образец, на\nкоторый можно опереться, — а не норма и не требование к другим доменам. Паттерн\nпредъявлен на одной реализации и не имеет права предписывать что-либо, пока не\nпроверен на нескольких независимых доменах (см. «Validation status»).\n\nRFC **не принимает** решение: он фиксирует наблюдение, показывает единственную\nреализацию и предлагает критерий, по которому паттерн может быть впоследствии\nповышен в статусе. Решение о повышении принимает фаундер.\n\n## Validation status\n\n> **Validated on:** Retrieval.\n> **Planned validation:** Memory, Agents.\n> **Criteria for promotion:** >= 3 independent domains.\n\nРасшифровка критерия: **независимый** домен — тот, чьё исследование ведёт другой\nисполнитель или другой метод, а не тот же корпус под другим названием. Три\nреализации на одном корпусе — это одна реализация, повторённая трижды, и она\nничего не подтверждает. До достижения критерия паттерн остаётся `Experimental`,\nи ссылаться на него как на обязательный нельзя.\n\n## Motivation\n\nИсследование retrieval-стратегий ([#418](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418))\nбыло выполнено как один файл на 1854 строки. Документ содержателен, но\nструктурно непригоден к эксплуатации по четырём причинам:\n\n1. **Нет маршрута чтения.** Фаундеру нужна матрица и вход для RFC-F; инженеру —\n таксономии и chunking; автору курса — рамка и метафора. Все трое получают\n один линейный текст и обязаны его отфильтровать сами.\n2. **Теория и практика меняются с разной скоростью.** Индустриальные кейсы и\n тренды устаревают за месяцы; объектная модель и точки решений — нет. В одном\n файле обновление быстрой части требует трогать медленную.\n3. **Ссылаться не на что.** Внутренние `§11.4` не адресуемы извне документа:\n другой артефакт не может сослаться на «вывод 1 матрицы» иначе как на файл\n целиком.\n4. **Ревью нечленимо.** PR на 1854 строки ревьюится целиком или никак.\n\nРазбиение по issue [#437](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437)\nустранило все четыре, не изменив ни одного содержательного утверждения. Вопрос\nэтого RFC: является ли полученная структура воспроизводимой формой или частным\nудобством одного домена. **Честный ответ на сегодня — неизвестно**, и статус\n`Experimental` это фиксирует.\n\n## Goals and Non-goals\n\n**Goals.**\n\n- Зафиксировать структуру, полученную на домене Retrieval, в воспроизводимом виде.\n- Отделить **Research Method** (как мы исследуем) от **Domain Methodology** (как\n устроен объект исследования) — см. соответствующий раздел.\n- Задать проверяемый критерий повышения статуса паттерна.\n- Назвать условия, при которых паттерн **не** применим.\n\n**Non-goals.**\n\n- Не предписывать паттерн другим доменам и не мигрировать существующие\n research-артефакты.\n- Не отменять и не изменять\n [RFC: Структура research](2026-06-30-rfc-research-structure.md): дата-первый\n `research/<domain>/YYYY-MM-DD-name.md` остаётся основной формой; настоящий\n паттерн — форма для **многофайлового модуля**, а не замена одиночного отчёта.\n- Не принимать governance-решение: RFC остаётся `draft` до подтверждения фаундером.\n\n## Proposal\n\n### P1. Структура модуля\n\nКаталог: `research/ai-education/<domain>/`. Ровно шесть файлов, каждый — с\nсобственным frontmatter и взаимными `related_artifacts`:\n\n| Файл | Содержание | Скорость изменения |\n| --- | --- | --- |\n| `00-introduction.md` | BLUF, карта чтения по аудиториям, граф зависимостей разделов | низкая |\n| `10-theory.md` | Conceptual Framing, объектная модель, граф зависимостей, точки решений, гипотезы | низкая |\n| `20-taxonomy.md` | таксономии входов и пространства решений | низкая |\n| `30-decision-framework.md` | матрица выбора, механизмы, evaluation, шкала готовности | средняя |\n| `40-practice.md` (`40-practice-and-cases.md`) | кейсы, тренды, иллюстрации и метафоры | **высокая** |\n| `50-open-research.md` | открытые вопросы, вход для downstream-RFC, ранжирование гипотез, глоссарий, источники, самоаудит | высокая |\n\nНомерной префикс кратен десяти намеренно: он оставляет место для вставки файла\n(`15-`, `35-`) без перенумерации модуля.\n\n### P2. Разделение веток «Теория» и «Практика»\n\nВетки разделены не тематически, а **по скорости устаревания и по классу\nисточников**: теория опирается на воспроизводимые результаты, практика — в том\nчисле на индустриальные публикации с числами вендоров на собственных данных.\nСмешение двух классов в одном файле делает слабое утверждение неотличимым от\nсильного.\n\nПрактика обязана **явно** ссылаться на своё основание — это видно в реализации:\n[`40-practice-and-cases.md`](../../research/ai-education/retrieval/40-practice-and-cases.md)\nоткрывается ссылками на\n[`10-theory.md`](../../research/ai-education/retrieval/10-theory.md) и\n[`30-decision-framework.md`](../../research/ai-education/retrieval/30-decision-framework.md).\n\n### P3. Cross-references вместо внутренних `§`\n\nСсылка между файлами — обычная Markdown-ссылка с якорем, а не внутренняя `§11.4`:\nтекст `[Решения §1]` указывает на файл `30-decision-framework.md` и якорь\n`#1-матрица-бз--запрос--стратегия-ядро-исследования`. Следствие: любой раздел адресуем извне модуля, а\n`tools/validate-repository-structure.sh` проверяет ссылки автоматически —\nструктурная деградация становится ошибкой CI, а не заметкой ревьюера.\n\n### P4. Research Method vs Domain Methodology\n\nЭто **центральное** различение RFC, и его смешение — главный способ применить\nпаттерн неправильно.\n\n- **Research Method** описывает, как Хаб проводит исследование:\n **Theory → Taxonomy → Decision Framework → Practice**.\n- **Domain Methodology** описывает устройство конкретного объекта исследования:\n **Conceptual Framing → Object Model → Decision Space**.\n\nПервая последовательность универсальна для Reference Research Pattern и задаёт\nмаршрут работы. Вторая наполняется заново для каждого домена и задаёт содержание,\nно не порядок проведения исследования.\n\n| | **Research Method** | **Domain Methodology** |\n| --- | --- | --- |\n| Отвечает на вопрос | как мы исследуем | как устроен объект исследования |\n| Кому принадлежит | Хабу; общий для доменов | домену; у каждого свой |\n| Что задаёт | членение артефакта, порядок работы (постановка → теория → таксономия → рамка решений → практика → открытые вопросы), требования к проверяемости и самоаудиту | содержание: E1–E11, K1–K6, Q1–Q10, S0–S6, матрица, L0–L5 — это устройство retrieval, а не устройство исследования |\n| Предмет этого RFC | **да** | **нет** |\n| Пример | «у практики обязано быть явное основание в теории» | «у БЗ шесть ортогональных осей» |\n\nПаттерн предлагает **только Research Method**. Файл `20-taxonomy.md` в другом\nдомене будет содержать другие таксономии — или не будет содержать таксономий\nвовсе, и тогда паттерн этому домену не подходит (см. Critical Analysis).\nУтверждение «во всяком исследовании обязана быть таксономия» — это уже\nDomain Methodology, и настоящий RFC его **не** делает.\n\n### P5. Обязательный механизм обратной связи «практика → теория»\n\nПервый из двух пунктов, добавленных исполнителем по своей инициативе (issue #437\nдаёт такое право явно).\n\nРазделение веток создаёт риск, который в монолите отсутствовал: практика может\nгодами накапливать наблюдения, противоречащие матрице, и оставаться **отдельным\nфайлом**, никак на теорию не влияя. Разделение без обратной связи — это не\nмодульность, а расслоение: теория консервируется, практика превращается в\nсвалку исключений.\n\nПаттерн **обязательно** закрепляет триггер: **воспроизведённое расхождение\nпрактики с рамкой решений — это дефект рамки, а не исключение практики**.\n\n| Условие | Действие |\n| --- | --- |\n| Кейс в `40-practice` воспроизводимо противоречит выводу `30-decision-framework` (независимый источник **или** собственный замер, а не одна вендорская публикация) | завести задачу на правку `30-decision-framework`; кейс помечается ссылкой на неё |\n| Расхождение не воспроизведено / единственный источник — вендор на своих данных | вносится в `50-open-research` как открытый вопрос, рамка не трогается |\n| Расхождение затрагивает объектную модель или точку решения | правка `10-theory` + обязательная ревизия зависящих разделов по графу из `00-introduction` |\n\nЭто делает стрелку «практика → теория» в графе зависимостей\n`00-introduction.md` **исполняемой**, а не декоративной. Полноценная реализация\n(кто заводит задачу, в какой срок) — вопрос к фаундеру, не решается здесь.\n\n### P6. Коллизия с `tools/validate-file-naming.sh` (предложение исполнителя)\n\nВторой пункт исполнителя — и это не улучшение, а **обнаруженный дефект\nпредложения**, который нельзя замолчать.\n\n`tools/validate-file-naming.sh` требует от **всякого** `.md` внутри `research/`\nимени вида `YYYY-MM-DD-name.md`. Имена `00-introduction.md` … `50-open-research.md`\nэтому правилу противоречат по построению: номер в них — **порядок чтения**, а не\nдата. Дата у модуля вообще не определена — файлы модуля живут разными циклами\n(в этом весь смысл P2), и датировать их одним днём означало бы соврать в имени.\n\nЗдесь сталкиваются два законных требования Хаба: хронологическая адресуемость\nresearch-артефактов и модульная адресуемость исследования. Настоящий RFC\n**не разрешает** этот конфликт своей властью — это governance-решение фаундера.\nВарианты, в порядке предпочтения исполнителя:\n\n1. **Исключение для модуля.** Разрешить `^(00|10|20|30|40|50)-[a-z0-9-]+\\.md$`\n внутри каталога модуля (каталог опознаётся по наличию `00-*.md`).\n Хронология переезжает в frontmatter (`updated`), где она и так есть и где\n она честнее: имя файла всё равно не обновляется при правке.\n2. **Дата в имени модуля.** `research/ai-education/2026-07-17-retrieval/00-introduction.md`:\n каталог датирован, файлы — нет. Хронология сохранена на уровне модуля, но\n каталог получает дату, которая устареет первой же правкой.\n3. **Отказ от паттерна** в пользу одиночного датированного файла — то есть\n принять четыре проблемы из Motivation как цену за единообразие.\n\n**Что сделано в этом PR.** Реализован вариант 1 в минимальном объёме: в\n`tools/validate-file-naming.sh` добавлено исключение\n`^(00|10|20|30|40|50)-[a-z0-9-]+\\.md$` для файлов внутри каталога, который\nобъявляет себя модулем наличием точки входа `00-*.md`. Без этого локальная\nвалидация не проходит, а нерабочая проверка хуже отсутствующей: она приучает\nигнорировать красный CI. Исключение намеренно узкое — вне каталога с `00-*.md`\nправило `YYYY-MM-DD-name.md` действует по-прежнему, для всего `research/`.\n\n**Что этим PR не решено.** Выбор между тремя вариантами — за фаундером\n(Open Questions, Q1). Реализованное исключение — не аргумент в пользу варианта 1\nи не создаёт прецедента: если принят вариант 2 или 3, исключение удаляется, а\nмодуль переименовывается или сворачивается обратно.\n\n## Alternatives\n\n| Альтернатива | Почему не предложена |\n| --- | --- |\n| Оставить монолит, добавить оглавление | Оглавление решает только (1) из четырёх проблем Motivation; теория и практика остаются связанными одним циклом изменения |\n| Два файла: `theory.md` + `practice.md` | Снимает (2), но не (3) и (4); и прячет самое ценное — рамку решений — внутрь теории, откуда на неё нельзя сослаться |\n| Один файл на раздел (25+ файлов) | Адресуемость максимальна, читаемость нулевая: модуль перестаёт быть исследованием и становится вики |\n| Зафиксировать структуру сразу как норму | Одна реализация не является доказательством воспроизводимости. Именно поэтому статус — `Experimental`, а критерий — ≥3 независимых домена |\n\n## Trade-offs\n\n**Цена, которую платит паттерн.**\n\n- **Шесть frontmatter вместо одного.** Взаимные `related_artifacts` нужно\n поддерживать руками; рассинхронизация обнаруживается только глазами ревьюера.\n- **Ссылки хрупки к переименованию заголовков.** Якорь ломается молча на GitHub —\n и это уже случилось при реорганизации retrieval (заголовок содержал `§`-ссылку,\n якорь изменился). Валидатор ловит битый путь к файлу, но не битый якорь.\n- **Порог входа выше.** Шесть файлов пугают сильнее одного, даже когда суммарный\n объём тот же.\n- **Соблазн симметрии.** Как только структура названа, появляется желание\n заполнить все шесть файлов в домене, где половина из них пуста. Пустой\n `20-taxonomy.md` хуже отсутствующего.\n\n## Critical Analysis\n\n**Где паттерн, скорее всего, не сработает.**\n\n1. **Домен без пространства решений.** Если исследование не заканчивается\n выбором, `30-decision-framework.md` вырождается в пересказ теории. Паттерн\n выведен из домена, где выбор — суть; это его происхождение, а возможно —\n и его граница.\n2. **Домен без индустриальной практики.** Для нового поля `40-practice` пуст,\n и разделение веток теряет смысл — оно и оправдано только разной скоростью\n устаревания.\n3. **Домен с одним автором и коротким циклом.** Издержки шести файлов не\n окупаются, если артефакт пишется за день и не переживёт квартал.\n4. **Наблюдение на выборке размера один.** Главный риск — обобщать структуру,\n выведенную из единственного домена и единственным исполнителем. Retrieval\n мог оказаться удобным частным случаем. Этот RFC не имеет права утверждать\n обратное, и `Experimental` — не осторожная формулировка, а точное описание\n доказательной базы.\n\n## Impacted Artifacts\n\n| Артефакт | Характер воздействия |\n| --- | --- |\n| `research/ai-education/retrieval/*` (6 файлов) | реализация паттерна (B-089) |\n| `research/education/2026-07-16-retrieval-strategies-survey.md` | `status: superseded`, ссылка на модуль |\n| `pr-ops/artifact-map.md` | строка монолита удалена, добавлены 6 + 1 |\n| `tools/validate-file-naming.sh` | добавлено узкое исключение для файлов модуля (P6, вариант 1, минимальный объём); выбор итогового варианта — за фаундером (Q1) |\n| `docs/rfc/2026-06-30-rfc-research-structure.md` | не изменяется; соотношение описано в Non-goals |\n\n## Open Questions\n\n| # | Вопрос | Кому |\n| --- | --- | --- |\n| Q1 | Какой из трёх вариантов P6 принимается? До ответа паттерн не может быть предложен другим доменам | фаундер |\n| Q2 | Кто и в какой срок заводит задачу по триггеру P5? Без этого обратная связь остаётся благим намерением | фаундер |\n| Q3 | Является ли `research/ai-education/` отдельным направлением или подпапкой `research/education/`? Реализация следует issue #437 (`ai-education`), но два соседних направления с близкими именами — источник ошибок адресации | фаундер |\n| Q4 | Достаточно ли трёх доменов, если все три — образовательные? Критерий «независимости» может потребовать домена вне `ai-education` | фаундер |\n\n## Related Artifacts\n\n- [`research/ai-education/retrieval/00-introduction.md`](../../research/ai-education/retrieval/00-introduction.md) — реализация паттерна\n- [`research/education/2026-07-16-retrieval-strategies-survey.md`](../../research/education/2026-07-16-retrieval-strategies-survey.md) — источник содержания (superseded)\n- [`docs/rfc/2026-06-30-rfc-research-structure.md`](2026-06-30-rfc-research-structure.md) — форма одиночного research-отчёта\n- [`AI_GOVERNANCE.md`](../../ai-governance/ai-governance.md) — Rule 4: исследование не является решением\n", | |
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| [2026-08-11T19:23:43.049Z] [INFO] "content": "1\t---\n2\tstatus: canonical\n3\tversion: 1.25\n4\tupdated: 2026-07-16\n5\ttemperature: 0.1\n6\tsource: research/README-old.md\n7\t---\n8\t\n9\t# Research\n10\t\n11\tКаталог для независимых исследований рынка, технологий, стандартов и доменных\n12\tзадач.\n13\t\n14\t> ⛔ **Строгое правило:** Размещение файлов исследований в корне каталога\n15\t> `research/` запрещено. Все исследования должны находиться в тематических\n16\t> подкаталогах (например, `research/hub/`, `research/mango/`,\n17\t> `research/governance/`).\n18\t> Это обеспечивает масштабируемость и изоляцию контекста.\n19\t\n20\t## Принципы\n21\t\n22\t| Принцип | Требование |\n23\t| --- | --- |\n24\t| Изоляция по доменам | Файлы исследований размещаются только в тематических подкаталогах (`research/hub/`, `research/mango/`); корень `research/` содержит лишь `README.md`. |\n25\t| Date-first naming | Хронологические research-файлы именуются `YYYY-MM-DD-name.md`; дата всегда стоит первой и берётся из git history создания файла. |\n26\t| Независимость | Research не должен зависеть от production-секретов или закрытых контрактов. |\n27\t| Воспроизводимость | Скрипты и эксперименты размещаются рядом с направлением как `research/<domain>/exp-<slug>/` и связываются с отчетом. |\n28\t| Сравнение вариантов | Если исследование выбирает стандарт, классификацию или подход, нужна таблица вариантов. |\n29\t| Языковая политика | Публичные исследования для международной аудитории поддерживают ru/en пару. |\n30\t| Traceability | Отчет ссылается на issue, источники, эксперименты и связанные документы. |\n31\t\n32\t## Текущие исследования\n33\t\n34\t| Подкаталог | Назначение |\n35\t| --- | --- |\n36\t| [hub/](hub/) | Фундаментальные исследования работы Хаба: передача контекста, project bootstrap, governance-стратегия и классификация промптов (`scope: repo-wide`). |\n37\t| [mango/](mango/) | Классификация продуктов и требований MANGO OFFICE, анализ корпуса ТЗ и flow требований (`scope: mango-only`). |\n38\t| [open-ai-ru/](open-ai-ru/) | Архитектура репозитория и продуктовых уровней L1–L4 для spoke-проекта open-ai.ru: инвентаризация стандартов Хаба, аудит репо, международные практики и детализация L3–L4 (`scope: open-ai-ru`). |\n39\t| [governance/](governance/) | Исследования governance-форматов Хаба: формат research-документации, исполнимых контрактов, contract documentation и решений по структуре каталогов (`scope: repo-wide`). |\n40\t| [external-knowledge/](external-knowledge/) | Интеграция внешних знаний: Base Registry внешних источников, механизм инсайтов и привязка к knowledge lifecycle (`scope: repo-wide`). |\n41\t| [cicd/](cicd/) | Исследования практик и стандартов CI/CD для AI-native проектов: анализ шаблонов, паттернов автоматизации и применимости к нашим репозиториям (`scope: repo-wide`). |\n42\t| [reputation-technologies/](reputation-technologies/) | Фреймворк репутационных технологий **GRA**: видение фаундера, концептуальная модель, международный стандарт, словарь, white paper, архитектура отдельного репозитория в экосистеме (`scope: repo-wide`). |\n43\t| [education/](education/) | Теоретическая основа для образовательных модулей Хаба: source-backed survey предметных областей, таксономии и матрицы принятия решений (`scope: repo-wide`). Учебный продукт на их основе живёт в [education/](../education/). |\n44\t\n45\t### Подкаталог `hub/`\n46\t\n47\t| Файл | Назначение |\n48\t| --- | --- |\n49\t| [2026-05-28-project-context-and-bootstrap-patterns.md](hub/2026-05-28-project-context-and-bootstrap-patterns.md) | Минималистичные паттерны передачи контекста, предсказуемого project bootstrap и маршрута \"рекомендация -> задача\" на опыте Mango. |\n50\t| [2026-05-28-prompts-classification-audit.md](hub/2026-05-28-prompts-classification-audit.md) | Аудит входных данных для классификации промптов: инвентаризация типов, паттерны отладки, пробелы. |\n51\t| [2026-05-28-prompts-classification-standard.md](hub/2026-05-28-prompts-classification-standard.md) | Стандарт классификации промптов: таксономия (6 осей), матрица зрелости, шаблоны отладки, план интеграции. |\n52\t| [2026-06-01-team-c-governance-strategy-audit.md](hub/2026-06-01-team-c-governance-strategy-audit.md) | Интерпретация аудита стратегии governance от команды C: сильные стороны, риски overgrowth, hierarchy/lifecycle вопросы и backlog candidates. |\n53\t| [2026-05-28-user-prompts-analysis.md](hub/2026-05-28-user-prompts-analysis.md) | Анализ 18 пользовательских промптов по стандарту классификации: матрица, устаревшие паттерны, дубли, рекомендации и план интеграции. |\n54\t| [2026-06-02-external-governance-patterns-review.md](hub/2026-06-02-external-governance-patterns-review.md) | Анализ external governance patterns (GitAgent/EGAProtocol/IETF AgentID) и матрица применимости рекомендаций команды С: «взять сейчас / отложить / отклонить», North Star и триггеры пересмотра. |\n55\t| [2026-06-12-ecosystem-governance-audit.md](hub/2026-06-12-ecosystem-governance-audit.md) | Аудит governance-практик Хаба, `mango_ba_prompts`, `open-ai.ru`, `clarify-engine-ai` и международных AI governance patterns для issue #217. |\n56\t| [2026-06-20-ecosystem-architecture-research.md](hub/2026-06-20-ecosystem-architecture-research.md) | Комплексное исследование архитектуры экосистемы для issue #257: Hub как центр 5+ проектов, token balance, L1-L4 для `open-ai.ru` и репутационные технологии. |\n57\t| [2026-06-12-external-practice-intake.md](hub/2026-06-12-external-practice-intake.md) | Анализ Habr-источников Artem Chirkov и slam, тест структуры `practices/`, выделение agent-work практик и Mango docs error pattern. |\n58\t| [2026-06-12-international-ai-governance-practices.md](hub/2026-06-12-international-ai-governance-practices.md) | Анализ NIST AI RMF, EU AI Act, ISO/IEC 42001, OpenAI, Anthropic и Google SAIF с executable implementation matrix для Хаба. |\n59\t| [2026-06-23-repository-structure-concept.md](hub/2026-06-23-repository-structure-concept.md) | Reviewed research input для issue #276: дополнение к mango-исследованию (issue #263), Часть II по соглашению «Архитектура инфраструктуры проектов экосистемы» (issue #274), критическая проверка соглашения и источники для [ADR-001](../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md) / [ADR-002](../docs/adr/2026-06-adr-002-artifact-document-methodology.md). |\n60\t| [2026-06-25-artifact-inventory-and-classification.md](hub/2026-06-25-artifact-inventory-and-classification.md) | Reviewed research input для issue #276: инвентаризация артефактов экосистемы, классификация по ортогональным осям, routing rules RT-01..RT-10 и source-backed вход для [ADR-002](../docs/adr/2026-06-adr-002-artifact-document-methodology.md) / [ADR-001](../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md). |\n61\t| [2026-06-27-rfc-industry-norms-and-variants.md](hub/2026-06-27-rfc-industry-norms-and-variants.md) | Research input для issue #278: RFC-like индустриальные нормы и варианты для Hub/Mango по архетипам A-D, с воспроизводимым external source corpus. |\n62\t| [2026-06-27-adr-industry-norms-and-variants.md](hub/2026-06-27-adr-industry-norms-and-variants.md) | Research input для issue #278: ADR/decision-record индустриальные нормы и варианты для Hub/Mango по архетипам A-D, с дельтами и критериями применимости. |\n63\t| [2026-06-28-research-analysis-audit-inventory.md](hub/2026-06-28-research-analysis-audit-inventory.md) | Analysis input для issue #288: Research / Analysis / Audit matrix по Hub, Mango и Clarify, concept substitutions, duplicate risks and three `Analysis -> RFC -> Standard` chains. |\n64\t| [2026-06-30-reports-industry-norms-and-standardization-scope.md](hub/2026-06-30-reports-industry-norms-and-standardization-scope.md) | Research input для issue #307 (B-038): индустриальный benchmark норм Reports (Diátaxis, DITA, ISO/IEC/IEEE, ANSI/NISO Z39.18, ГОСТ 7.32/19.101, SDMX/DDI, NIST AI RMF, EU AI Act, Kubernetes/CNCF/OpenTelemetry), проверка гипотез H1-H4, граничные кейсы Reports ↔ Analysis/Audit и рекомендация Вариант C (гибрид) без создания стандарта. |\n65\t| [2026-07-04-hub-as-agent-system-global-analysis.md](hub/2026-07-04-hub-as-agent-system-global-analysis.md) | Глобальный анализ Хаба как прообраза агентной системы для issue #394 (Deep Think, панель из 8 экспертов): 27 гипотез по направлениям A–H, 157 стресс-тестов (86 ✅ / 54 ⚠️ / 17 ❌), матрица, таксономия, методологический вектор, рекомендации R1–R11, индустриальные нормы (EU AI Act, OWASP LLM Top-10:2025, NIST AI RMF/600-1, ISO/IEC 42001/23894, Anthropic «Building Effective Agents») с явным разбором неприменимого, реестр из 11 пробелов и входные данные для 4 стандартов. Прикладное дополнение §14 (issue #398) заземляет анализ на спок Mango. Корректирующее до-исследование §15 (issue #400, v0.4) исправляет «критическую ошибку границ» §14: восстанавливает канонический порядок Vision (внешние источники → research → practices → проект) и добавляет вне границ проекта — индустриальные практики создания агентов (§15.1, 14 подпунктов + каталог из 12 анти-паттернов), структуру обучения (§15.2), корреляцию с экосистемой (§15.3), проверку готовности Mango к миграции (§15.4, ПГ-4), применимость (§15.5), эволюционные варианты миграции репо→агент с двумя параллельными треками и рейтингом V1–V4 (§15.6, рекоменд. V2), маршрут фаундера (§15.7), глоссарий/источники (§15.10–15.11) и самоаудит (§15.12); подготовлено семь входов для RFC (RFC-A…G). |\n66\t\n67\t### Подкаталог `open-ai-ru/`\n68\t\n69\t| Файл | Назначение |\n70\t| --- | --- |\n71\t| [2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md](open-ai-ru/2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md) | Архитектура репозитория open-ai.ru и детализация уровней L3–L4 для issue #259: инвентаризация стандартов Хаба, аудит репо, сравнение с международными практиками (8 проектов, проверено через GitHub API), C4-диаграммы, ADR-формат и предложение структуры репо с trade-offs. |\n72\t\n73\t### Подкаталог `reputation-technologies/`\n74\t\n75\t| Файл | Назначение |\n76\t| --- | --- |\n77\t| [2026-06-20-founders-vision-and-framework.ru.md](reputation-technologies/2026-06-20-founders-vision-and-framework.ru.md) | Основной отчёт (RU): видение фаундера, эволюция, репутация как система, роль ИИ, 15 международных проектов, фреймворк GRA, стандарт, отдельный репозиторий, roadmaps, trade-offs. |\n78\t| [2026-06-20-framework-standard.en.md](reputation-technologies/2026-06-20-framework-standard.en.md) | Проект стандарта (EN) в формате ISO/IEC/IEEE 42010:2022 + ISO/IEC 42001:2023. |\n79\t| [2026-06-20-white-paper.en.md](reputation-technologies/2026-06-20-white-paper.en.md) | White paper (EN, 10–15 c.) для международной аудитории. |\n80\t| [2026-06-20-executive-summary.ru-en.md](reputation-technologies/2026-06-20-executive-summary.ru-en.md) | Executive summary (RU + EN, 2–3 c.). |\n81\t| [2026-06-20-glossary.ru-en.md](reputation-technologies/2026-06-20-glossary.ru-en.md) | Терминологический словарь (RU↔EN) с международными аналогами. |\n82\t\n83\t### Подкаталог `education/`\n84\t\n85\t| Файл | Назначение |\n86\t| --- | --- |\n87\t| [2026-07-16-retrieval-strategies-survey.md](education/2026-07-16-retrieval-strategies-survey.md) | Научно-теоретическое исследование retrieval-стратегий для AI-агентов (issue #418): 30 research questions, объектная модель из 10 сущностей, граф зависимостей, 9 точек принятия решений, 20 провокационных гипотез (7 от фаундера + 13 из международных практик), таксономии БЗ/запросов/стратегий, матрица «БЗ × Запрос → Стратегия», chunking, embeddings и similarity metrics, reranking, evaluation, readiness levels L0–L5, индустриальные кейсы и тренды 2024–2026, связь с архитектурой памяти агента. Теоретическая база для образовательного модуля (RFC-F). |\n88\t\n89\t## Рекомендуемая структура\n90\t\n91\t```text\n92\tresearch/<domain>/\n93\t README.md\n94\t YYYY-MM-DD-topic.md\n95\t YYYY-MM-DD-topic.ru.md\n96\t YYYY-MM-DD-topic.en.md\n97\t```\n98\t\n99\tЕсли issue явно требует только русский результат, допускается один `.md` файл.\n100\tПеред внешней публикацией нужно добавить английскую пару или зафиксировать\n101\tисключение.\n102\t\n103\tПодробные правила структуры research-артефактов, источников и экспериментов\n104\tзафиксированы в\n105\t[standards/research-standard.md](../standards/research-standard.md). Правила\n106\tdate-first именования зафиксированы в\n107\t[standards/file-naming.md](../standards/file-naming.md) и проверяются командой\n108\t`./tools/validate-file-naming.sh`.\n109\t" | |
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| [2026-08-11T19:23:43.049Z] [INFO] "content": "---\nstatus: canonical\nversion: 1.25\nupdated: 2026-07-16\ntemperature: 0.1\nsource: research/README-old.md\n---\n\n# Research\n\nКаталог для независимых исследований рынка, технологий, стандартов и доменных\nзадач.\n\n> ⛔ **Строгое правило:** Размещение файлов исследований в корне каталога\n> `research/` запрещено. Все исследования должны находиться в тематических\n> подкаталогах (например, `research/hub/`, `research/mango/`,\n> `research/governance/`).\n> Это обеспечивает масштабируемость и изоляцию контекста.\n\n## Принципы\n\n| Принцип | Требование |\n| --- | --- |\n| Изоляция по доменам | Файлы исследований размещаются только в тематических подкаталогах (`research/hub/`, `research/mango/`); корень `research/` содержит лишь `README.md`. |\n| Date-first naming | Хронологические research-файлы именуются `YYYY-MM-DD-name.md`; дата всегда стоит первой и берётся из git history создания файла. |\n| Независимость | Research не должен зависеть от production-секретов или закрытых контрактов. |\n| Воспроизводимость | Скрипты и эксперименты размещаются рядом с направлением как `research/<domain>/exp-<slug>/` и связываются с отчетом. |\n| Сравнение вариантов | Если исследование выбирает стандарт, классификацию или подход, нужна таблица вариантов. |\n| Языковая политика | Публичные исследования для международной аудитории поддерживают ru/en пару. |\n| Traceability | Отчет ссылается на issue, источники, эксперименты и связанные документы. |\n\n## Текущие исследования\n\n| Подкаталог | Назначение |\n| --- | --- |\n| [hub/](hub/) | Фундаментальные исследования работы Хаба: передача контекста, project bootstrap, governance-стратегия и классификация промптов (`scope: repo-wide`). |\n| [mango/](mango/) | Классификация продуктов и требований MANGO OFFICE, анализ корпуса ТЗ и flow требований (`scope: mango-only`). |\n| [open-ai-ru/](open-ai-ru/) | Архитектура репозитория и продуктовых уровней L1–L4 для spoke-проекта open-ai.ru: инвентаризация стандартов Хаба, аудит репо, международные практики и детализация L3–L4 (`scope: open-ai-ru`). |\n| [governance/](governance/) | Исследования governance-форматов Хаба: формат research-документации, исполнимых контрактов, contract documentation и решений по структуре каталогов (`scope: repo-wide`). |\n| [external-knowledge/](external-knowledge/) | Интеграция внешних знаний: Base Registry внешних источников, механизм инсайтов и привязка к knowledge lifecycle (`scope: repo-wide`). |\n| [cicd/](cicd/) | Исследования практик и стандартов CI/CD для AI-native проектов: анализ шаблонов, паттернов автоматизации и применимости к нашим репозиториям (`scope: repo-wide`). |\n| [reputation-technologies/](reputation-technologies/) | Фреймворк репутационных технологий **GRA**: видение фаундера, концептуальная модель, международный стандарт, словарь, white paper, архитектура отдельного репозитория в экосистеме (`scope: repo-wide`). |\n| [education/](education/) | Теоретическая основа для образовательных модулей Хаба: source-backed survey предметных областей, таксономии и матрицы принятия решений (`scope: repo-wide`). Учебный продукт на их основе живёт в [education/](../education/). |\n\n### Подкаталог `hub/`\n\n| Файл | Назначение |\n| --- | --- |\n| [2026-05-28-project-context-and-bootstrap-patterns.md](hub/2026-05-28-project-context-and-bootstrap-patterns.md) | Минималистичные паттерны передачи контекста, предсказуемого project bootstrap и маршрута \"рекомендация -> задача\" на опыте Mango. |\n| [2026-05-28-prompts-classification-audit.md](hub/2026-05-28-prompts-classification-audit.md) | Аудит входных данных для классификации промптов: инвентаризация типов, паттерны отладки, пробелы. |\n| [2026-05-28-prompts-classification-standard.md](hub/2026-05-28-prompts-classification-standard.md) | Стандарт классификации промптов: таксономия (6 осей), матрица зрелости, шаблоны отладки, план интеграции. |\n| [2026-06-01-team-c-governance-strategy-audit.md](hub/2026-06-01-team-c-governance-strategy-audit.md) | Интерпретация аудита стратегии governance от команды C: сильные стороны, риски overgrowth, hierarchy/lifecycle вопросы и backlog candidates. |\n| [2026-05-28-user-prompts-analysis.md](hub/2026-05-28-user-prompts-analysis.md) | Анализ 18 пользовательских промптов по стандарту классификации: матрица, устаревшие паттерны, дубли, рекомендации и план интеграции. |\n| [2026-06-02-external-governance-patterns-review.md](hub/2026-06-02-external-governance-patterns-review.md) | Анализ external governance patterns (GitAgent/EGAProtocol/IETF AgentID) и матрица применимости рекомендаций команды С: «взять сейчас / отложить / отклонить», North Star и триггеры пересмотра. |\n| [2026-06-12-ecosystem-governance-audit.md](hub/2026-06-12-ecosystem-governance-audit.md) | Аудит governance-практик Хаба, `mango_ba_prompts`, `open-ai.ru`, `clarify-engine-ai` и международных AI governance patterns для issue #217. |\n| [2026-06-20-ecosystem-architecture-research.md](hub/2026-06-20-ecosystem-architecture-research.md) | Комплексное исследование архитектуры экосистемы для issue #257: Hub как центр 5+ проектов, token balance, L1-L4 для `open-ai.ru` и репутационные технологии. |\n| [2026-06-12-external-practice-intake.md](hub/2026-06-12-external-practice-intake.md) | Анализ Habr-источников Artem Chirkov и slam, тест структуры `practices/`, выделение agent-work практик и Mango docs error pattern. |\n| [2026-06-12-international-ai-governance-practices.md](hub/2026-06-12-international-ai-governance-practices.md) | Анализ NIST AI RMF, EU AI Act, ISO/IEC 42001, OpenAI, Anthropic и Google SAIF с executable implementation matrix для Хаба. |\n| [2026-06-23-repository-structure-concept.md](hub/2026-06-23-repository-structure-concept.md) | Reviewed research input для issue #276: дополнение к mango-исследованию (issue #263), Часть II по соглашению «Архитектура инфраструктуры проектов экосистемы» (issue #274), критическая проверка соглашения и источники для [ADR-001](../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md) / [ADR-002](../docs/adr/2026-06-adr-002-artifact-document-methodology.md). |\n| [2026-06-25-artifact-inventory-and-classification.md](hub/2026-06-25-artifact-inventory-and-classification.md) | Reviewed research input для issue #276: инвентаризация артефактов экосистемы, классификация по ортогональным осям, routing rules RT-01..RT-10 и source-backed вход для [ADR-002](../docs/adr/2026-06-adr-002-artifact-document-methodology.md) / [ADR-001](../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md). |\n| [2026-06-27-rfc-industry-norms-and-variants.md](hub/2026-06-27-rfc-industry-norms-and-variants.md) | Research input для issue #278: RFC-like индустриальные нормы и варианты для Hub/Mango по архетипам A-D, с воспроизводимым external source corpus. |\n| [2026-06-27-adr-industry-norms-and-variants.md](hub/2026-06-27-adr-industry-norms-and-variants.md) | Research input для issue #278: ADR/decision-record индустриальные нормы и варианты для Hub/Mango по архетипам A-D, с дельтами и критериями применимости. |\n| [2026-06-28-research-analysis-audit-inventory.md](hub/2026-06-28-research-analysis-audit-inventory.md) | Analysis input для issue #288: Research / Analysis / Audit matrix по Hub, Mango и Clarify, concept substitutions, duplicate risks and three `Analysis -> RFC -> Standard` chains. |\n| [2026-06-30-reports-industry-norms-and-standardization-scope.md](hub/2026-06-30-reports-industry-norms-and-standardization-scope.md) | Research input для issue #307 (B-038): индустриальный benchmark норм Reports (Diátaxis, DITA, ISO/IEC/IEEE, ANSI/NISO Z39.18, ГОСТ 7.32/19.101, SDMX/DDI, NIST AI RMF, EU AI Act, Kubernetes/CNCF/OpenTelemetry), проверка гипотез H1-H4, граничные кейсы Reports ↔ Analysis/Audit и рекомендация Вариант C (гибрид) без создания стандарта. |\n| [2026-07-04-hub-as-agent-system-global-analysis.md](hub/2026-07-04-hub-as-agent-system-global-analysis.md) | Глобальный анализ Хаба как прообраза агентной системы для issue #394 (Deep Think, панель из 8 экспертов): 27 гипотез по направлениям A–H, 157 стресс-тестов (86 ✅ / 54 ⚠️ / 17 ❌), матрица, таксономия, методологический вектор, рекомендации R1–R11, индустриальные нормы (EU AI Act, OWASP LLM Top-10:2025, NIST AI RMF/600-1, ISO/IEC 42001/23894, Anthropic «Building Effective Agents») с явным разбором неприменимого, реестр из 11 пробелов и входные данные для 4 стандартов. Прикладное дополнение §14 (issue #398) заземляет анализ на спок Mango. Корректирующее до-исследование §15 (issue #400, v0.4) исправляет «критическую ошибку границ» §14: восстанавливает канонический порядок Vision (внешние источники → research → practices → проект) и добавляет вне границ проекта — индустриальные практики создания агентов (§15.1, 14 подпунктов + каталог из 12 анти-паттернов), структуру обучения (§15.2), корреляцию с экосистемой (§15.3), проверку готовности Mango к миграции (§15.4, ПГ-4), применимость (§15.5), эволюционные варианты миграции репо→агент с двумя параллельными треками и рейтингом V1–V4 (§15.6, рекоменд. V2), маршрут фаундера (§15.7), глоссарий/источники (§15.10–15.11) и самоаудит (§15.12); подготовлено семь входов для RFC (RFC-A…G). |\n\n### Подкаталог `open-ai-ru/`\n\n| Файл | Назначение |\n| --- | --- |\n| [2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md](open-ai-ru/2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md) | Архитектура репозитория open-ai.ru и детализация уровней L3–L4 для issue #259: инвентаризация стандартов Хаба, аудит репо, сравнение с международными практиками (8 проектов, проверено через GitHub API), C4-диаграммы, ADR-формат и предложение структуры репо с trade-offs. |\n\n### Подкаталог `reputation-technologies/`\n\n| Файл | Назначение |\n| --- | --- |\n| [2026-06-20-founders-vision-and-framework.ru.md](reputation-technologies/2026-06-20-founders-vision-and-framework.ru.md) | Основной отчёт (RU): видение фаундера, эволюция, репутация как система, роль ИИ, 15 международных проектов, фреймворк GRA, стандарт, отдельный репозиторий, roadmaps, trade-offs. |\n| [2026-06-20-framework-standard.en.md](reputation-technologies/2026-06-20-framework-standard.en.md) | Проект стандарта (EN) в формате ISO/IEC/IEEE 42010:2022 + ISO/IEC 42001:2023. |\n| [2026-06-20-white-paper.en.md](reputation-technologies/2026-06-20-white-paper.en.md) | White paper (EN, 10–15 c.) для международной аудитории. |\n| [2026-06-20-executive-summary.ru-en.md](reputation-technologies/2026-06-20-executive-summary.ru-en.md) | Executive summary (RU + EN, 2–3 c.). |\n| [2026-06-20-glossary.ru-en.md](reputation-technologies/2026-06-20-glossary.ru-en.md) | Терминологический словарь (RU↔EN) с международными аналогами. |\n\n### Подкаталог `education/`\n\n| Файл | Назначение |\n| --- | --- |\n| [2026-07-16-retrieval-strategies-survey.md](education/2026-07-16-retrieval-strategies-survey.md) | Научно-теоретическое исследование retrieval-стратегий для AI-агентов (issue #418): 30 research questions, объектная модель из 10 сущностей, граф зависимостей, 9 точек принятия решений, 20 провокационных гипотез (7 от фаундера + 13 из международных практик), таксономии БЗ/запросов/стратегий, матрица «БЗ × Запрос → Стратегия», chunking, embeddings и similarity metrics, reranking, evaluation, readiness levels L0–L5, индустриальные кейсы и тренды 2024–2026, связь с архитектурой памяти агента. Теоретическая база для образовательного модуля (RFC-F). |\n\n## Рекомендуемая структура\n\n```text\nresearch/<domain>/\n README.md\n YYYY-MM-DD-topic.md\n YYYY-MM-DD-topic.ru.md\n YYYY-MM-DD-topic.en.md\n```\n\nЕсли issue явно требует только русский результат, допускается один `.md` файл.\nПеред внешней публикацией нужно добавить английскую пару или зафиксировать\nисключение.\n\nПодробные правила структуры research-артефактов, источников и экспериментов\nзафиксированы в\n[standards/research-standard.md](../standards/research-standard.md). Правила\ndate-first именования зафиксированы в\n[standards/file-naming.md](../standards/file-naming.md) и проверяются командой\n`./tools/validate-file-naming.sh`.\n", | |
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В отличие от\n12\tдоменных подкаталогов (например, [mango/](../mango/)), материалы здесь имеют\n13\t`scope: repo-wide` и применяются ко всему репозиторию.\n14\t\n15\t## Документы\n16\t\n17\t| Документ | Назначение |\n18\t| --- | --- |\n19\t| [2026-05-28-project-context-and-bootstrap-patterns.md](2026-05-28-project-context-and-bootstrap-patterns.md) | Минималистичные паттерны передачи контекста, предсказуемого project bootstrap и маршрута \"рекомендация -> задача\" на опыте Mango. |\n20\t| [2026-05-28-prompts-classification-audit.md](2026-05-28-prompts-classification-audit.md) | Аудит входных данных для классификации промптов: инвентаризация типов, паттерны отладки, пробелы. |\n21\t| [2026-05-28-prompts-classification-standard.md](2026-05-28-prompts-classification-standard.md) | Стандарт классификации промптов: таксономия (6 осей), матрица зрелости, шаблоны отладки, план интеграции. |\n22\t| [2026-06-01-team-c-governance-strategy-audit.md](2026-06-01-team-c-governance-strategy-audit.md) | Интерпретация аудита стратегии governance от команды C: сильные стороны, риски overgrowth, hierarchy/lifecycle вопросы и backlog candidates. |\n23\t| [2026-05-28-user-prompts-analysis.md](2026-05-28-user-prompts-analysis.md) | Анализ 18 пользовательских промптов по стандарту классификации: матрица, устаревшие паттерны, дубли, рекомендации и план интеграции. |\n24\t| [2026-06-02-ai-collaboration-retrospective.md](2026-06-02-ai-collaboration-retrospective.md) | Ретроспектива ошибок AI-агента в сессии проектирования шаблонов споков: реестр ошибок, корневые причины и системные выводы для будущего onboarding/governance proposal. |\n25\t| [2026-06-02-ai-collaboration-retrospective-mango-migration.md](2026-06-02-ai-collaboration-retrospective-mango-migration.md) | Ретроспектива ошибок AI-агента в сессии проектирования миграции Mango (Хаб → спок): реестр ошибок (включая архитектурное размещение артефактов), корневые причины и системные выводы для будущего onboarding/governance proposal. |\n26\t| [2026-06-02-external-governance-patterns-review.md](2026-06-02-external-governance-patterns-review.md) | Анализ external governance patterns (GitAgent/EGAProtocol/IETF AgentID) и матрица применимости рекомендаций команды С: 8 ценных идей, колонки «взять сейчас / отложить / отклонить», North Star и триггеры пересмотра. |\n27\t| [2026-06-12-ecosystem-governance-audit.md](2026-06-12-ecosystem-governance-audit.md) | Аудит governance-практик Хаба, `mango_ba_prompts`, `open-ai.ru`, `clarify-engine-ai` и международных AI governance patterns для issue #217. |\n28\t| [2026-06-20-ecosystem-architecture-research.md](2026-06-20-ecosystem-architecture-research.md) | Комплексное исследование архитектуры экосистемы для issue #257: Hub как центр 5+ проектов, token balance, L1-L4 для `open-ai.ru` и репутационные технологии. |\n29\t| [2026-06-12-external-practice-intake.md](2026-06-12-external-practice-intake.md) | Анализ внешних agent-work практик по Habr-источникам Artem Chirkov и slam, тест структуры `practices/`, и Mango docs error pattern без изменения Mango. |\n30\t| [2026-06-12-international-ai-governance-practices.md](2026-06-12-international-ai-governance-practices.md) | Анализ международных AI governance sources и executable implementation matrix: NIST AI RMF, EU AI Act, ISO/IEC 42001, OpenAI, Anthropic, Google SAIF. |\n31\t| [2026-06-23-repository-structure-concept.md](2026-06-23-repository-structure-concept.md) | Reviewed research input для issue #276: дополнение к mango-исследованию структуры каталогов (issue #263), Часть II по соглашению «Архитектура инфраструктуры проектов экосистемы» (issue #274), критическая проверка соглашения и источники для [ADR-001](../../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md) / [ADR-002](../../docs/adr/2026-06-adr-002-artifact-document-methodology.md). |\n32\t| [2026-06-25-artifact-inventory-and-classification.md](2026-06-25-artifact-inventory-and-classification.md) | Reviewed research input для issue #276: инвентаризация артефактов экосистемы, классификация по ортогональным осям, routing rules RT-01..RT-10 и source-backed вход для [ADR-002](../../docs/adr/2026-06-adr-002-artifact-document-methodology.md) / [ADR-001](../../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md). |\n33\t| [2026-06-27-rfc-industry-norms-and-variants.md](2026-06-27-rfc-industry-norms-and-variants.md) | Research input для issue #278: аудит RFC Hub/Mango, индустриальные RFC-like нормы по архетипам A-D, дельты, lifecycle diagrams и варианты RFC-модели без создания нового RFC. |\n34\t| [2026-06-27-adr-industry-norms-and-variants.md](2026-06-27-adr-industry-norms-and-variants.md) | Research input для issue #278: аудит ADR/decision records Hub/Mango, индустриальные ADR-нормы, дельты, lifecycle diagrams и варианты ADR-модели без создания нового ADR. |\n35\t| [2026-06-28-ripple-effects-282-research.md](2026-06-28-ripple-effects-282-research.md) | Research input для issue #284: ripple effects issue #282 по двойному словарю статусов, validator routing, necessary/sufficient frontmatter, `ai-generated` cleanup, CI modes и migration scenarios без выбора финального варианта. |\n36\t| [2026-06-28-research-analysis-audit-inventory.md](2026-06-28-research-analysis-audit-inventory.md) | Analysis input для issue #288: сквозная классификация Research / Analysis / Audit в Hub, Mango и Clarify, дельты, подмена понятий, дубли и план трёх цепочек `Analysis -> RFC -> Standard`. |\n37\t| [2026-06-30-reports-industry-norms-and-standardization-scope.md](2026-06-30-reports-industry-norms-and-standardization-scope.md) | Research input для issue #307 (B-038): индустриальный benchmark норм Reports (Diátaxis, DITA, ISO/IEC/IEEE, ANSI/NISO Z39.18, ГОСТ 7.32/19.101, SDMX/DDI, NIST AI RMF, EU AI Act, Kubernetes/CNCF/OpenTelemetry), проверка гипотез H1-H4, граничные кейсы Reports ↔ Analysis/Audit и рекомендация Вариант C (гибрид) без создания стандарта Reports. |\n38\t| [2026-07-02-task-execution-modes-research.md](2026-07-02-task-execution-modes-research.md) | Research input для issue #330 (B-041): индустриальные нормы режимов выполнения задач для ИИ-агентов (Cynefin, Bloom, Cognitive Load, ReAct/Reflexion/Plan-and-Solve, CrewAI/LangGraph/MetaGPT/AutoGPT, guardrails/evals/HITL) от лица 4 экспертов, паттерны Hub/Mango и 5 реальных тестов (rule-based классификатор v1→v2). Подтверждает триаду Creative/Structured/Hybrid и action-anchored сигнал без предложения решений, новых режимов и стандартов. |\n39\t| [2026-07-31-ops-task-strategy-validation.md](2026-07-31-ops-task-strategy-validation.md) | Research input для issue #461: эмпирическая валидация стратегии постановки задач по 479 PR и 475 issue Хаба, Clarify и Mango. Детализация постановки не отделяет отказы от успехов (p = 0.65) и связана только с объёмом работы (ρ = 0.14); все четыре пустых мержа имеют одну подпись «ожидание approval → revert»; замыкание ссылок от любой точки входа — 232 файла (~1.6M токенов); гейт по формулировке даёт precision 0.022 против постусловия на диффе с нулём ложных срабатываний. Сравнительная матрица «практика × эксперименты × индустрия» и пять вариантов решения без RFC и без изменения действующих правил. |\n40\t\n41\t## Эксперименты\n42\t\n43\t| Эксперимент | Назначение |\n44\t| --- | --- |\n45\t| [exp/rfc-adr-industry-norms-278/](exp/rfc-adr-industry-norms-278/) | Воспроизводимый corpus scan для issue #278: local Hub/Mango RFC/ADR audit и external RFC/ADR path-signal summaries по архетипам A-D. |\n46\t| [exp/ripple-effects-282/](exp/ripple-effects-282/) | Воспроизводимый frontmatter scan для issue #284: counts for status values, `ai-generated`, extra fields, path classes and migration examples. |\n47\t| [exp/research-analysis-audit-288/](exp/research-analysis-audit-288/) | Воспроизводимый scan для issue #288: матрица классификации Research / Analysis / Audit / Other по Hub, Mango и Clarify. |\n48\t| [exp/reports-inventory-310/](exp/reports-inventory-310/) | Воспроизводимый scan для issue #310 в целевом контейнере `exp/` (RFC B-016 v0.2 P1) с плоской структурой без `outputs/` (P2): матрица Reports-кандидатов по Hub, Mango и Clarify с подтипами `audit`, `report`, `statistics` и relation к Analysis/Audit. |\n49\t| [exp/analysis-inventory-342/](exp/analysis-inventory-342/) | Воспроизводимый scan для issue #342 (B-024) в целевом контейнере `exp/`: матрица Analysis-adjacent артефактов по Hub, Mango и Clarify с фактическими типами Research / Analysis / Audit / Report / RFC / ADR / Other и relation к Analysis. |\n50\t| [exp/task-execution-modes-330/](exp/task-execution-modes-330/) | Воспроизводимый rule-based классификатор для issue #330 в контейнере `exp/` (RFC B-016 v0.2, плоская структура): `classify.py` (v1 naive vs v2 action-anchored) + 5 таблиц тестов классификации типа/режима задач без контекста. |\n51\t| [exp/ops-task-strategy-461/](exp/ops-task-strategy-461/) | Контейнер доказательств для issue #461: сбор корпуса PR и issue трёх репозиториев (`collect-evidence.py`), статистика исходов на чистой stdlib (`analyze-outcomes.py`), разрешимость путей против дерева на дату постановки с контролем на период миграции (`experiment-references.py`), замыкание ссылок и бюджет контекста точек входа (`experiment-closure.py`) и контракты решений как исполнимая проверка в двух размещениях (`model-contract-index.py`). |\n52\t\n53\t## Воспроизводимость\n54\t\n55\tСкрипты и эксперименты размещаются в каноничном контейнере\n56\t`research/hub/exp/<issue-slug>/` и связываются с отчетом по\n57\t[standards/research-standard.md](../../standards/research-standard.md).\n58\t" | |
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| [2026-08-11T19:23:43.444Z] [INFO] "content": "---\nstatus: canonical\nversion: 1.14\nupdated: 2026-07-02\ntemperature: 0.1\n---\n\n# Research: Hub\n\nФундаментальные исследования, касающиеся работы самого Хаба: передачи контекста,\nproject bootstrap, governance-стратегии и классификации промптов. В отличие от\nдоменных подкаталогов (например, [mango/](../mango/)), материалы здесь имеют\n`scope: repo-wide` и применяются ко всему репозиторию.\n\n## Документы\n\n| Документ | Назначение |\n| --- | --- |\n| [2026-05-28-project-context-and-bootstrap-patterns.md](2026-05-28-project-context-and-bootstrap-patterns.md) | Минималистичные паттерны передачи контекста, предсказуемого project bootstrap и маршрута \"рекомендация -> задача\" на опыте Mango. |\n| [2026-05-28-prompts-classification-audit.md](2026-05-28-prompts-classification-audit.md) | Аудит входных данных для классификации промптов: инвентаризация типов, паттерны отладки, пробелы. |\n| [2026-05-28-prompts-classification-standard.md](2026-05-28-prompts-classification-standard.md) | Стандарт классификации промптов: таксономия (6 осей), матрица зрелости, шаблоны отладки, план интеграции. |\n| [2026-06-01-team-c-governance-strategy-audit.md](2026-06-01-team-c-governance-strategy-audit.md) | Интерпретация аудита стратегии governance от команды C: сильные стороны, риски overgrowth, hierarchy/lifecycle вопросы и backlog candidates. |\n| [2026-05-28-user-prompts-analysis.md](2026-05-28-user-prompts-analysis.md) | Анализ 18 пользовательских промптов по стандарту классификации: матрица, устаревшие паттерны, дубли, рекомендации и план интеграции. |\n| [2026-06-02-ai-collaboration-retrospective.md](2026-06-02-ai-collaboration-retrospective.md) | Ретроспектива ошибок AI-агента в сессии проектирования шаблонов споков: реестр ошибок, корневые причины и системные выводы для будущего onboarding/governance proposal. |\n| [2026-06-02-ai-collaboration-retrospective-mango-migration.md](2026-06-02-ai-collaboration-retrospective-mango-migration.md) | Ретроспектива ошибок AI-агента в сессии проектирования миграции Mango (Хаб → спок): реестр ошибок (включая архитектурное размещение артефактов), корневые причины и системные выводы для будущего onboarding/governance proposal. |\n| [2026-06-02-external-governance-patterns-review.md](2026-06-02-external-governance-patterns-review.md) | Анализ external governance patterns (GitAgent/EGAProtocol/IETF AgentID) и матрица применимости рекомендаций команды С: 8 ценных идей, колонки «взять сейчас / отложить / отклонить», North Star и триггеры пересмотра. |\n| [2026-06-12-ecosystem-governance-audit.md](2026-06-12-ecosystem-governance-audit.md) | Аудит governance-практик Хаба, `mango_ba_prompts`, `open-ai.ru`, `clarify-engine-ai` и международных AI governance patterns для issue #217. |\n| [2026-06-20-ecosystem-architecture-research.md](2026-06-20-ecosystem-architecture-research.md) | Комплексное исследование архитектуры экосистемы для issue #257: Hub как центр 5+ проектов, token balance, L1-L4 для `open-ai.ru` и репутационные технологии. |\n| [2026-06-12-external-practice-intake.md](2026-06-12-external-practice-intake.md) | Анализ внешних agent-work практик по Habr-источникам Artem Chirkov и slam, тест структуры `practices/`, и Mango docs error pattern без изменения Mango. |\n| [2026-06-12-international-ai-governance-practices.md](2026-06-12-international-ai-governance-practices.md) | Анализ международных AI governance sources и executable implementation matrix: NIST AI RMF, EU AI Act, ISO/IEC 42001, OpenAI, Anthropic, Google SAIF. |\n| [2026-06-23-repository-structure-concept.md](2026-06-23-repository-structure-concept.md) | Reviewed research input для issue #276: дополнение к mango-исследованию структуры каталогов (issue #263), Часть II по соглашению «Архитектура инфраструктуры проектов экосистемы» (issue #274), критическая проверка соглашения и источники для [ADR-001](../../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md) / [ADR-002](../../docs/adr/2026-06-adr-002-artifact-document-methodology.md). |\n| [2026-06-25-artifact-inventory-and-classification.md](2026-06-25-artifact-inventory-and-classification.md) | Reviewed research input для issue #276: инвентаризация артефактов экосистемы, классификация по ортогональным осям, routing rules RT-01..RT-10 и source-backed вход для [ADR-002](../../docs/adr/2026-06-adr-002-artifact-document-methodology.md) / [ADR-001](../../docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md). |\n| [2026-06-27-rfc-industry-norms-and-variants.md](2026-06-27-rfc-industry-norms-and-variants.md) | Research input для issue #278: аудит RFC Hub/Mango, индустриальные RFC-like нормы по архетипам A-D, дельты, lifecycle diagrams и варианты RFC-модели без создания нового RFC. |\n| [2026-06-27-adr-industry-norms-and-variants.md](2026-06-27-adr-industry-norms-and-variants.md) | Research input для issue #278: аудит ADR/decision records Hub/Mango, индустриальные ADR-нормы, дельты, lifecycle diagrams и варианты ADR-модели без создания нового ADR. |\n| [2026-06-28-ripple-effects-282-research.md](2026-06-28-ripple-effects-282-research.md) | Research input для issue #284: ripple effects issue #282 по двойному словарю статусов, validator routing, necessary/sufficient frontmatter, `ai-generated` cleanup, CI modes и migration scenarios без выбора финального варианта. |\n| [2026-06-28-research-analysis-audit-inventory.md](2026-06-28-research-analysis-audit-inventory.md) | Analysis input для issue #288: сквозная классификация Research / Analysis / Audit в Hub, Mango и Clarify, дельты, подмена понятий, дубли и план трёх цепочек `Analysis -> RFC -> Standard`. |\n| [2026-06-30-reports-industry-norms-and-standardization-scope.md](2026-06-30-reports-industry-norms-and-standardization-scope.md) | Research input для issue #307 (B-038): индустриальный benchmark норм Reports (Diátaxis, DITA, ISO/IEC/IEEE, ANSI/NISO Z39.18, ГОСТ 7.32/19.101, SDMX/DDI, NIST AI RMF, EU AI Act, Kubernetes/CNCF/OpenTelemetry), проверка гипотез H1-H4, граничные кейсы Reports ↔ Analysis/Audit и рекомендация Вариант C (гибрид) без создания стандарта Reports. |\n| [2026-07-02-task-execution-modes-research.md](2026-07-02-task-execution-modes-research.md) | Research input для issue #330 (B-041): индустриальные нормы режимов выполнения задач для ИИ-агентов (Cynefin, Bloom, Cognitive Load, ReAct/Reflexion/Plan-and-Solve, CrewAI/LangGraph/MetaGPT/AutoGPT, guardrails/evals/HITL) от лица 4 экспертов, паттерны Hub/Mango и 5 реальных тестов (rule-based классификатор v1→v2). Подтверждает триаду Creative/Structured/Hybrid и action-anchored сигнал без предложения решений, новых режимов и стандартов. |\n| [2026-07-31-ops-task-strategy-validation.md](2026-07-31-ops-task-strategy-validation.md) | Research input для issue #461: эмпирическая валидация стратегии постановки задач по 479 PR и 475 issue Хаба, Clarify и Mango. Детализация постановки не отделяет отказы от успехов (p = 0.65) и связана только с объёмом работы (ρ = 0.14); все четыре пустых мержа имеют одну подпись «ожидание approval → revert»; замыкание ссылок от любой точки входа — 232 файла (~1.6M токенов); гейт по формулировке даёт precision 0.022 против постусловия на диффе с нулём ложных срабатываний. Сравнительная матрица «практика × эксперименты × индустрия» и пять вариантов решения без RFC и без изменения действующих правил. |\n\n## Эксперименты\n\n| Эксперимент | Назначение |\n| --- | --- |\n| [exp/rfc-adr-industry-norms-278/](exp/rfc-adr-industry-norms-278/) | Воспроизводимый corpus scan для issue #278: local Hub/Mango RFC/ADR audit и external RFC/ADR path-signal summaries по архетипам A-D. |\n| [exp/ripple-effects-282/](exp/ripple-effects-282/) | Воспроизводимый frontmatter scan для issue #284: counts for status values, `ai-generated`, extra fields, path classes and migration examples. |\n| [exp/research-analysis-audit-288/](exp/research-analysis-audit-288/) | Воспроизводимый scan для issue #288: матрица классификации Research / Analysis / Audit / Other по Hub, Mango и Clarify. |\n| [exp/reports-inventory-310/](exp/reports-inventory-310/) | Воспроизводимый scan для issue #310 в целевом контейнере `exp/` (RFC B-016 v0.2 P1) с плоской структурой без `outputs/` (P2): матрица Reports-кандидатов по Hub, Mango и Clarify с подтипами `audit`, `report`, `statistics` и relation к Analysis/Audit. |\n| [exp/analysis-inventory-342/](exp/analysis-inventory-342/) | Воспроизводимый scan для issue #342 (B-024) в целевом контейнере `exp/`: матрица Analysis-adjacent артефактов по Hub, Mango и Clarify с фактическими типами Research / Analysis / Audit / Report / RFC / ADR / Other и relation к Analysis. |\n| [exp/task-execution-modes-330/](exp/task-execution-modes-330/) | Воспроизводимый rule-based классификатор для issue #330 в контейнере `exp/` (RFC B-016 v0.2, плоская структура): `classify.py` (v1 naive vs v2 action-anchored) + 5 таблиц тестов классификации типа/режима задач без контекста. |\n| [exp/ops-task-strategy-461/](exp/ops-task-strategy-461/) | Контейнер доказательств для issue #461: сбор корпуса PR и issue трёх репозиториев (`collect-evidence.py`), статистика исходов на чистой stdlib (`analyze-outcomes.py`), разрешимость путей против дерева на дату постановки с контролем на период миграции (`experiment-references.py`), замыкание ссылок и бюджет контекста точек входа (`experiment-closure.py`) и контракты решений как исполнимая проверка в двух размещениях (`model-contract-index.py`). |\n\n## Воспроизводимость\n\nСкрипты и эксперименты размещаются в каноничном контейнере\n`research/hub/exp/<issue-slug>/` и связываются с отчетом по\n[standards/research-standard.md](../../standards/research-standard.md).\n", | |
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| [2026-08-11T19:23:57.239Z] [INFO] "stdout": "### research/README.md | lines=108\nstatus: canonical;version: 1.25;updated: 2026-07-16;source: research/README-old.md;\n### research/ai-education/README.md | lines=56\nstatus: draft;version: 0.8;updated: 2026-08-11;\n### research/ai-education/evaluation/00-introduction.md | lines=77\nstatus: draft;version: 0.2;updated: 2026-08-11;\n### research/ai-education/evaluation/10-theory.md | lines=97\nstatus: draft;version: 0.1;updated: 2026-08-08;\n### research/ai-education/evaluation/20-taxonomy.md | lines=85\nstatus: draft;version: 0.1;updated: 2026-08-08;\n### research/ai-education/evaluation/2026-08-11-source-intelligence-evals-contract.md | lines=265\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/evaluation/30-decision-framework.md | lines=80\nstatus: draft;version: 0.1;updated: 2026-08-08;\n### research/ai-education/evaluation/40-practice-and-cases.md | lines=77\nstatus: draft;version: 0.1;updated: 2026-08-08;\n### research/ai-education/evaluation/50-open-research.md | lines=83\nstatus: draft;version: 0.1;updated: 2026-08-08;\n### research/ai-education/information-extraction-graph-modeling/00-introduction.md | lines=165\nstatus: draft;version: 0.1;updated: 2026-08-06;type: research;context: [information-extraction, graph-modeling, knowledge-graph, education];method: literature-survey + framework-comparison + adversarial-hypotheses;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/471\";related_issues:;\n### research/ai-education/information-extraction-graph-modeling/10-theory.md | lines=168\nstatus: draft;version: 0.1;updated: 2026-08-06;type: research;context: [information-extraction, graph-modeling, theory, object-model];method: conceptual-analysis + adversarial-hypotheses;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/471\";related_issues:;\n### research/ai-education/information-extraction-graph-modeling/20-taxonomy.md | lines=179\nstatus: draft;version: 0.1;updated: 2026-08-06;type: research;context: [information-extraction, graph-modeling, taxonomy];method: taxonomy-building + comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/471\";related_issues:;\n### research/ai-education/information-extraction-graph-modeling/30-decision-framework.md | lines=194\nstatus: draft;version: 0.1;updated: 2026-08-06;type: research;context: [information-extraction, graph-modeling, decision-framework, evaluation];method: comparative-analysis + decision-matrix;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/471\";related_issues:;\n### research/ai-education/information-extraction-graph-modeling/40-practice-and-cases.md | lines=271\nstatus: draft;version: 0.1;updated: 2026-08-06;type: research;context: [information-extraction, graph-modeling, frameworks, industry-cases, education];method: framework-comparison + case-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/471\";related_issues:;\n### research/ai-education/information-extraction-graph-modeling/50-open-research.md | lines=225\nstatus: draft;version: 0.1;updated: 2026-08-06;type: research;context: [information-extraction, graph-modeling, open-research, integration, sources];method: synthesis + evidence-audit;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/471\";related_issues:;\n### research/ai-education/memory/00-introduction.md | lines=332\nstatus: draft;version: 0.1;updated: 2026-07-31;type: research;context: [memory, agent-state, context-engineering, forgetting, temporal-knowledge, introduction, reading-map];method: literature-survey + framework-documentation-audit + taxonomy-building + adversarial-hypotheses;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/459\";related_issues:;\n### research/ai-education/memory/10-theory.md | lines=293\nstatus: draft;version: 0.1;updated: 2026-07-31;type: research;context: [memory, conceptual-framing, object-model, decision-points, hypotheses, write-path, temporal-knowledge];method: conceptual-framing + adversarial-hypotheses;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/459\";related_issues:;\n### research/ai-education/memory/20-taxonomy.md | lines=163\nstatus: draft;version: 0.1;updated: 2026-07-31;type: research;context: [memory, taxonomy, memory-types, storage-substrates, lifecycle, read-policies];method: taxonomy-building + framework-documentation-audit;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/459\";related_issues:;\n### research/ai-education/memory/30-decision-framework.md | lines=291\nstatus: draft;version: 0.1;updated: 2026-07-31;type: research;context: [memory, decision-framework, compression, forgetting, trust-boundary, evaluation, maturity-model];method: decision-framework-building + framework-documentation-audit;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/459\";related_issues:;\n### research/ai-education/memory/40-practice-and-cases.md | lines=455\nstatus: draft;version: 0.1;updated: 2026-07-31;type: research;context: [memory, practice, case-study, langgraph, crewai, autogen, anthropic, mcp, letta, mem0, zep, education];method: framework-documentation-audit + case-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/459\";related_issues:;\n### research/ai-education/memory/50-open-research.md | lines=381\nstatus: draft;version: 0.1;updated: 2026-07-31;type: research;context: [memory, open-questions, module-links, glossary, sources, self-audit, reference-research-pattern];method: gap-analysis + self-audit;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/459\";related_issues:;\n### research/ai-education/multi-agent-orchestration/00-introduction.md | lines=116\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/multi-agent-orchestration/10-theory.md | lines=166\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/multi-agent-orchestration/20-taxonomy.md | lines=145\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/multi-agent-orchestration/30-decision-framework.md | lines=176\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/multi-agent-orchestration/40-practice-and-cases.md | lines=112\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/multi-agent-orchestration/50-open-research.md | lines=178\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/observability/00-introduction.md | lines=107\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/observability/10-theory.md | lines=178\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/observability/20-taxonomy.md | lines=142\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/observability/30-decision-framework.md | lines=247\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/observability/40-practice-and-cases.md | lines=161\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/observability/50-open-research.md | lines=148\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/retrieval/00-introduction.md | lines=345\nstatus: draft;version: 0.3;updated: 2026-07-17;type: research;context: [retrieval, rag, education, survey, introduction, reading-map];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\";related_issues:;\n### research/ai-education/retrieval/10-theory.md | lines=341\nstatus: draft;version: 0.3;updated: 2026-07-17;type: research;context: [retrieval, rag, education, theory, conceptual-framing, object-model, hypotheses];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\";related_issues:;\n### research/ai-education/retrieval/20-taxonomy.md | lines=294\nstatus: draft;version: 0.3;updated: 2026-07-17;type: research;context: [retrieval, rag, education, taxonomy, knowledge-base, queries, strategies];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\";related_issues:;\n### research/ai-education/retrieval/30-decision-framework.md | lines=568\nstatus: draft;version: 0.3;updated: 2026-07-17;type: research;context: [retrieval, rag, decision-matrix, chunking, embeddings, reranking, evaluation, readiness-levels];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\";related_issues:;\n### research/ai-education/retrieval/40-practice-and-cases.md | lines=315\nstatus: draft;version: 0.3;updated: 2026-07-17;type: research;context: [retrieval, rag, practice, industrial-cases, trends, agent-memory, dna-metaphor];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\";related_issues:;\n### research/ai-education/retrieval/50-open-research.md | lines=313\nstatus: draft;version: 0.3;updated: 2026-07-17;type: research;context: [retrieval, rag, open-questions, rfc-input, hypotheses-ranking, glossary, sources, self-audit];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437\";related_issues:;\n### research/ai-education/task-processing/00-introduction.md | lines=276\nstatus: draft;version: 0.1;updated: 2026-07-30;type: research;context: [task-processing, agent-execution, multi-agent, planning, guardrails, autonomy, introduction, reading-map];method: literature-survey + framework-documentation-audit + taxonomy-building + adversarial-hypotheses;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457\";related_issues:;\n### research/ai-education/task-processing/10-theory.md | lines=288\nstatus: draft;version: 0.1;updated: 2026-07-30;type: research;context: [task-processing, agent-execution, conceptual-framing, object-model, decision-points, hypotheses];method: conceptual-framing + object-modelling + adversarial-hypotheses;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457\";related_issues:;\n### research/ai-education/task-processing/20-taxonomy.md | lines=179\nstatus: draft;version: 0.1;updated: 2026-07-30;type: research;context: [task-processing, taxonomy, mandate, planning, guardrails, autonomy];method: taxonomy-building + framework-documentation-audit;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457\";related_issues:;\n### research/ai-education/task-processing/30-decision-framework.md | lines=221\nstatus: draft;version: 0.1;updated: 2026-07-30;type: research;context: [task-processing, decision-framework, guardrails, pre-flight, evaluation, autonomy-levels];method: decision-matrix + framework-documentation-audit + evaluation-review;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457\";related_issues:;\n### research/ai-education/task-processing/40-practice-and-cases.md | lines=296\nstatus: draft;version: 0.1;updated: 2026-07-30;type: research;context: [task-processing, industry-cases, autogen, crewai, langgraph, openai-agents-sdk, mcp, opentelemetry, trends];method: framework-documentation-audit + industry-case-review;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457\";related_issues:;\n### research/ai-education/task-processing/50-open-research.md | lines=233\nstatus: draft;version: 0.1;updated: 2026-07-30;type: research;context: [task-processing, open-questions, module-links, retrieval, memory, glossary, sources, self-audit];method: gap-analysis + hypothesis-ranking + self-audit;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457\";related_issues:;\n### research/ai-education/tool-use/00-introduction.md | lines=104\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/tool-use/10-theory.md | lines=128\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/tool-use/20-taxonomy.md | lines=124\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/tool-use/30-decision-framework.md | lines=128\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/tool-use/40-practice-and-cases.md | lines=145\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/ai-education/tool-use/50-open-research.md | lines=142\nstatus: draft;version: 0.1;updated: 2026-08-11;\n### research/cicd/2026-06-09-js-cicd-template-analysis.md | lines=387\nstatus: draft;version: 0.1;updated: 2026-06-09;type: external-analysis;context: [cicd, javascript, typescript, ai-driven-development, github-actions];method: manual-review;\n### research/cicd/README.md | lines=24\nstatus: canonical;version: 1.0;updated: 2026-06-09;\n### research/education/2026-07-16-retrieval-strategies-survey.md | lines=1873\nstatus: superseded;version: 0.4;updated: 2026-07-17;type: research;context: [retrieval, rag, reranking, chunking, embeddings, evaluation, agent-memory, education, taxonomy, decision-matrix, survey];method: literature-survey + adversarial-hypotheses + taxonomy-building;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418\";related_issues:;\n### research/education/README.md | lines=49\nstatus: canonical;version: 1.1;updated: 2026-07-17;\n### research/external-knowledge/2026-06-18-wigers-requirements-analysis.md | lines=506\nstatus: draft;version: 0.2;updated: 2026-06-18;type: external-analysis;context: [requirements-engineering, wiegers, ai-era, knowledge-extraction];method: comparative-analysis;\n### research/external-knowledge/README.md | lines=105\nstatus: draft;version: 0.3;updated: 2026-06-15;\n### research/external-knowledge/external-insights/2026-06-13-12-factor-agents.md | lines=56\nstatus: draft;version: 0.1;updated: 2026-06-13;type: external-analysis;context: [agents, production, prompt-ownership, human-in-the-loop];\n### research/external-knowledge/external-insights/2026-06-13-building-effective-agents.md | lines=55\nstatus: draft;version: 0.1;updated: 2026-06-13;type: external-analysis;context: [agents, workflow-patterns, orchestration, hybrid-collaboration];\n### research/external-knowledge/external-insights/2026-06-13-spec-driven-development.md | lines=57\nstatus: draft;version: 0.1;updated: 2026-06-13;type: external-analysis;context: [spec-driven, requirements, agents, executable-spec];\n### research/external-knowledge/external-insights/2026-06-15-agent-local-memory-context.md | lines=57\nstatus: draft;version: 0.1;updated: 2026-06-15;type: external-analysis;context: [context-engineering, agent-memory, token-budget, mcp, project-rules];\n### research/external-knowledge/external-insights/2026-06-15-structured-prompt-driven-development.md | lines=56\nstatus: draft;version: 0.1;updated: 2026-06-15;type: external-analysis;context: [spec-driven, prompts-as-artifacts, reproducibility, workflow];\n### research/external-knowledge/external-insights/README.md | lines=82\nstatus: draft;version: 0.2;updated: 2026-06-15;\n### research/external-knowledge/external-sources-registry.md | lines=400\nstatus: draft;version: 0.16;updated: 2026-08-11;type: external-analysis;context: [external-knowledge, registry, hub, ecosystem, lifecycle];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/227\";related_issues:;\n### research/governance/2026-06-06-contract-documentation-format.md | lines=171\nstatus: canonical;version: 1.0;updated: 2026-06-07;type: external-analysis;context: [governance, hub, contracts, api-contracts, sla, rfc-2119, design-by-contract, adr];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/165\";related_issues:;\n### research/governance/2026-06-06-executable-contract-format.md | lines=169\nstatus: canonical;version: 1.0;updated: 2026-06-07;type: external-analysis;context: [governance, hub, executable-contracts, system-prompts, runbooks, action-first, agent-perception];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/165\";related_issues:;\n### research/governance/2026-06-06-governance-folder-structure-decisions.md | lines=200\nstatus: canonical;version: 1.1;updated: 2026-06-08;type: decision-record;context: [governance, hub, folder-structure, rfc, proposals, portal, naming, team-q];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/165\";related_issues:;\n### research/governance/2026-06-06-research-documentation-format.md | lines=175\nstatus: canonical;version: 1.0;updated: 2026-06-07;type: external-analysis;context: [governance, hub, research-format, documentation-standards, decision-traceability, bluf];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/165\";related_issues:;\n### research/governance/README.md | lines=67\nstatus: reviewed;version: 0.2;updated: 2026-06-07;type: navigation;scope: repo-wide;related_issues:;\n### research/hub/2026-05-28-project-context-and-bootstrap-patterns.md | lines=311\nstatus: draft;version: 0.2;updated: 2026-06-01;type: internal-analysis;context: [mango, context-handoff, project-bootstrap, recommendations, governance-strategy];method: retrospective-analysis + minimal-pattern-design + interpretive-synthesis;scope: repo-wide;related_issues:;\n### research/hub/2026-05-28-prompts-classification-audit.md | lines=182\nstatus: draft;version: 0.1;updated: 2026-05-28;type: internal-analysis;scope: repo-wide;context: [prompt-engineering, classification, maturity-model];method: comparative-analysis;\n### research/hub/2026-05-28-prompts-classification-standard.md | lines=509\nstatus: draft;version: 0.1;updated: 2026-05-28;type: classification-standard;scope: repo-wide;context: [prompt-engineering, classification, maturity-model, agent-design];method: comparative-analysis;\n### research/hub/2026-05-28-user-prompts-analysis.md | lines=182\nstatus: draft;version: 0.1;updated: 2026-05-26;type: prompt-analysis;scope: user-specific + repo-integration;\n### research/hub/2026-06-01-team-c-governance-strategy-audit.md | lines=150\nstatus: draft;version: 0.1;updated: 2026-06-01;type: internal-analysis;scope: repo-wide;context: [governance, repository-strategy, research-lifecycle, team-c];method: interpretive-synthesis;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/87\";\n### research/hub/2026-06-02-ai-collaboration-retrospective-mango-migration.md | lines=85\nstatus: canonical;version: 1.0;updated: 2026-06-02;\n### research/hub/2026-06-02-ai-collaboration-retrospective.md | lines=57\nstatus: canonical;version: 1.0;updated: 2026-06-02;\n### research/hub/2026-06-02-external-governance-patterns-review.md | lines=257\nstatus: draft;version: 0.1;updated: 2026-06-02;type: external-analysis;context: [governance, hub, external-patterns, agent-ecosystems, applicability-matrix];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/101\";related_issues:;\n### research/hub/2026-06-12-ecosystem-governance-audit.md | lines=163\nstatus: draft;version: 0.1;updated: 2026-06-12;type: internal-analysis;context: [hub, governance, ai-agents, ecosystem];method: repository-audit;\n### research/hub/2026-06-12-external-practice-intake.md | lines=97\nstatus: draft;version: 0.1;updated: 2026-06-12;\n### research/hub/2026-06-12-international-ai-governance-practices.md | lines=60\nstatus: draft;version: 0.1;updated: 2026-06-12;\n### research/hub/2026-06-20-ecosystem-architecture-research.md | lines=669\nstatus: draft;version: 0.1;updated: 2026-06-20;type: ecosystem-architecture-research;context: [hub, ecosystem, open-ai.ru, reputation-engineering, token-optimization];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/257\";related_issues:;\n### research/hub/2026-06-23-repository-structure-concept.md | lines=1122\nstatus: reviewed;version: 0.3;updated: 2026-06-27;type: repository-structure-concept-research;context: [hub, archetypes, repository-structure, base-directories, mango, founder-vision, agreement, industry-norms, executability-levels, diataxis, ai-governance];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/263\";related_issues:;\n### research/hub/2026-06-25-artifact-inventory-and-classification.md | lines=1562\nstatus: reviewed;version: 0.3;updated: 2026-06-27;type: artifact-inventory-and-classification-research;context: [hub, mango, artifacts, inventory, classification, L0-L4, knowledge-areas, routing-rules, archetypes, axes-decomposition, executability, format-rules, depends-on-contract, research-naming];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/265\";related_issues:;\n### research/hub/2026-06-27-adr-industry-norms-and-variants.md | lines=563\nstatus: draft;version: 0.1;updated: 2026-06-27;type: adr-industry-norms-and-variants-research;context: [hub, mango, adr, decision-records, industry-norms, archetypes, architecture-decisions];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/278\";related_issues:;\n### research/hub/2026-06-27-rfc-industry-norms-and-variants.md | lines=568\nstatus: draft;version: 0.1;updated: 2026-06-27;type: rfc-industry-norms-and-variants-research;context: [hub, mango, rfc, industry-norms, archetypes, governance, decision-making];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/278\";related_issues:;\n### research/hub/2026-06-28-research-analysis-audit-inventory.md | lines=286\nstatus: draft;version: 0.1;updated: 2026-06-28;type: internal-analysis;context: [hub, mango, clarify, research, analysis, audit, classification, standardization, issue-288];method: repository-scan;scope: ecosystem;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/288\";related_issues:;\n### research/hub/2026-06-28-ripple-effects-282-research.md | lines=462\nstatus: draft;version: 0.1;updated: 2026-06-28;type: internal-analysis;context: [hub, issue-282, issue-284, frontmatter, lifecycle, validator, migration];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/284\";related_issues:;\n### research/hub/2026-06-30-reports-industry-norms-and-standardization-scope.md | lines=616\nstatus: draft;version: 0.1;updated: 2026-06-30;type: reports-industry-norms-and-standardization-scope-research;context: [hub, reports, audit-report, statistical-report, general-report, industry-norms, diataxis, dita, iso, gost, nist-ai-rmf, eu-ai-act, standardization-scope, governance];method: comparative-analysis;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/307\";related_issues:;\n### research/hub/2026-07-02-task-execution-modes-research.md | lines=452\nstatus: draft;version: 0.1;updated: 2026-07-02;type: task-execution-modes-research;context: [hub, mango, ai-agents, prompt-engineering, task-classification, execution-modes, operating-mode, industry-norms];method: comparative-analysis-and-experiment;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/330\";related_issues:;\n### research/hub/2026-07-04-hub-as-agent-system-global-analysis.md | lines=2713\nstatus: draft;version: 0.4;updated: 2026-07-09;type: research;method: deep-think-expert-panel;source: https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/394;scope: repo-wide;context: [agent-system, hypotheses, stress-tests, industry-norms, methodological-vector, meta-process, applied-grounding, ba-mango-spoke, founder-course, industry-agent-practices, agent-education, repo-to-agent-migration];related_issues: [394, 398, 400];\n### research/hub/2026-07-31-ops-task-strategy-validation.md | lines=432\nstatus: draft;version: 0.1;updated: 2026-07-31;type: ops-task-strategy-validation;context: [hub, clarify-engine, mango, ai-agents, task-statement, decision-contracts, entry-point, guardrails, empirical-analysis];method: historical-analysis-and-experiment;scope: repo-wide;source: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/461\";related_issues:;\n### research/hub/README.md | lines=57\nstatus: canonical;version: 1.14;updated: 2026-07-02;\n### research/hub/exp/analysis-inventory-342/2026-07-02-analysis-artifact-matrix.md | lines=295\nstatus: draft;version: 0.1;updated: 2026-07-02;\n### research/hub/exp/analysis-inventory-342/README.md | lines=63\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment;context: [hub, mango, clarify, analysis, inventory, issue-342, b-024];method: repository-scan;\n### research/hub/exp/ops-task-strategy-461/README.md | lines=92\nstatus: draft;version: 0.1;updated: 2026-07-31;type: experiment;\n### research/hub/exp/reports-inventory-310/2026-07-01-reports-artifact-matrix.md | lines=108\nstatus: draft;version: 0.1;updated: 2026-07-01;\n### research/hub/exp/reports-inventory-310/README.md | lines=61\nstatus: draft;version: 0.1;updated: 2026-07-01;type: experiment;context: [hub, mango, clarify, reports, audit-report, general-report, statistical-report, issue-310];method: repository-scan;\n### research/hub/exp/research-analysis-audit-288/2026-06-28-artifact-classification-matrix.md | lines=239\nstatus: draft;version: 0.1;updated: 2026-06-28;\n### research/hub/exp/research-analysis-audit-288/README.md | lines=50\nstatus: draft;version: 0.1;updated: 2026-06-28;type: experiment;context: [hub, mango, clarify, research, analysis, audit, issue-288];method: repository-scan;\n### research/hub/exp/rfc-adr-industry-norms-278/2026-06-27-adr-external-tree-summary.md | lines=61\nstatus: draft;version: 0.1;updated: 2026-06-27;type: adr-external-tree-summary;scope: evidence;\n### research/hub/exp/rfc-adr-industry-norms-278/2026-06-27-local-rfc-adr-audit.md | lines=51\nstatus: draft;version: 0.1;updated: 2026-06-27;type: local-rfc-adr-audit;scope: evidence;\n### research/hub/exp/rfc-adr-industry-norms-278/2026-06-27-rfc-external-tree-summary.md | lines=60\nstatus: draft;version: 0.1;updated: 2026-06-27;type: rfc-external-tree-summary;scope: evidence;\n### research/hub/exp/rfc-adr-industry-norms-278/README.md | lines=69\nstatus: draft;version: 0.1;updated: 2026-06-27;type: experiment;context: [hub, mango, rfc, adr, external-sources, evidence];method: github-tree-scan;scope: evidence;\n### research/hub/exp/ripple-effects-282/2026-06-28-frontmatter-scan.md | lines=133\nstatus: draft;version: 0.1;updated: 2026-06-28;\n### research/hub/exp/ripple-effects-282/README.md | lines=50\nstatus: draft;version: 0.1;updated: 2026-06-28;type: experiment;context: [hub, issue-282, frontmatter, lifecycle, migration];method: repository-frontmatter-scan;scope: evidence;\n### research/hub/exp/task-execution-modes-330/2026-07-02-test1-backlog.md | lines=40\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment-output;\n### research/hub/exp/task-execution-modes-330/2026-07-02-test2-issues.md | lines=21\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment-output;\n### research/hub/exp/task-execution-modes-330/2026-07-02-test3-conflict.md | lines=19\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment-output;\n### research/hub/exp/task-execution-modes-330/2026-07-02-test4-evolution.md | lines=19\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment-output;\n### research/hub/exp/task-execution-modes-330/2026-07-02-test5-industry.md | lines=24\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment-output;\n### research/hub/exp/task-execution-modes-330/README.md | lines=89\nstatus: draft;version: 0.1;updated: 2026-07-02;type: experiment;\n### research/mango/2026-05-22-classification-tz.md | lines=336\nstatus: reviewed;version: 1.0;updated: 2026-05-26;type: internal-analysis;context: [mango, tender-requirements];method: corpus-analysis;source: git history before migration to research/mango/2026-05-22-classification-tz.md;\n### research/mango/2026-05-22-classification.md | lines=794\nstatus: reviewed;version: 3.0;updated: 2026-05-27;type: external-analysis;context: [mango, product-classification];method: comparative-analysis;source: git history before migration to research/mango/2026-05-22-classification.md;\n### research/mango/2026-05-22-requirements-flow.md | lines=347\nstatus: reviewed;version: 1.0;updated: 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(ADR-010)\n478|2026-08-07T16:14:57Z|chore(pr-ops): актуализировать backlog.md по итогам согласования ОПС (issue #475)\n477|2026-08-07T16:31:09Z|chore: устранить мелкие дефекты, обнаруженные при подготовке RFC #470 (issue #474)\n472|2026-08-07T07:08:06Z|research: study information extraction and graph modeling\n470|2026-08-06T07:31:59Z|rfc: архитектура постановки задач для AI-агентов (issue #469)\n468|2026-08-06T05:57:02Z|fix(ai-rules): убрать отдельный approval-gate после Readback\n467|2026-08-06T06:00:20Z|audit: размещение артефактов PR #462 корректно (research/hub/) — вердикт pass, issue #465\n464|2026-07-31T22:00:05Z|docs: разделить Research Method и Domain Methodology (B-090)\n462|2026-07-31T21:50:05Z|research(ops): эмпирическая валидация стратегии постановки задач для AI-агентов\n460|2026-07-31T17:33:49Z|research(memory): индустриальные практики реализации «Памяти» (Memory) в AI-агентах\n458|2026-07-30T17:16:10Z|research(task-processing): исследование промышленных практик агентного исполнения задач (#457)\n456|2026-07-30T05:52:03Z|chore: синхронизировать B-085 и B-053 с состоянием репозитория\n454|2026-07-29T14:41:49Z|'chore: Актуализация активного бэклога по валидированным PR (#452, #443) и исправление устаревших путей в описаниях'\n452|2026-07-22T06:58:44Z|standards: Миграция Research/Analysis/Audit/Report к мета-стандарту F10 и закрытие Q5 Evals Contract (B-053)\n450|2026-07-17T13:12:14Z|chore: refresh backlog through latest completed work\n448|2026-07-17T11:29:37Z|standards: расширить мета-стандарт F10 на все стандарты экосистемы (B-052)\n447|2026-07-17T11:33:39Z|chore: Исправить путь kb/ в ADR-009 и плане B-080\n445|2026-07-17T05:33:30Z|chore: align Sprint 2 evidence, Analysis, and Reports\n444|2026-07-17T05:30:50Z|chore/governance: Комплексная governance-очистка и 3-tier amendment policy (Спринт 1)\n443|2026-07-17T11:26:50Z|research: реорганизовать retrieval в Reference Research Pattern (B-089, #437)\n442|2026-07-17T05:43:56Z|analysis: детальный план миграции артефактов Mango при разделении репозиториев (B-080)\n441|2026-07-17T05:24:27Z|chore/adr: Расширить scope ADR-008 на все стандарты и закрыть B-051/B-067\n440|2026-07-17T05:23:05Z|'chore/adr: Исправить ссылку в evals-contract и расширить scope ADR-008 на все стандарты (B-067 post-merge)'\n432|2026-07-16T19:02:18Z|chore: Добавить triggered-задачу B-088 об иерархии SSOT\n431|2026-07-16T18:53:06Z|standards: Контракт evals/golden-sets для спока (B-067)\n430|2026-07-16T18:50:28Z|chore: разделить policy и agent rules по ADR-007 (B-056)\n429|2026-07-16T18:51:13Z|adr: Зафиксировать разделение Mango на публичный и приватный репозитории (B-079)\n428|2026-07-16T18:46:00Z|standard: кодифицировать F10 meta-structure стандартов (B-052)\n422|2026-07-16T05:26:24Z|chore: Гибридная лицензия CC BY 4.0 + Apache 2.0 в репозитории Хаба (B-085)\n421|2026-07-16T05:24:45Z|research(education): retrieval-стратегии для AI-агентов — survey и критический разбор (issue #418)\n420|2026-07-16T05:18:03Z|adr: Зафиксировать F10 meta-structure стандартов (B-051)\n416|2026-07-10T20:47:10Z|analysis: amend B-050 with explicit B-051 decision options\n414|2026-07-10T20:44:57Z|chore: Обновить бэклог (Спринт 8 — разделение Mango) и добавить строку cross-standard-stress-tests в artifact-map\n412|2026-07-10T14:26:40Z|chore: обновить Sprint 8 и карту audit-артефактов\n410|2026-07-10T13:30:59Z|analysis: сравнить meta-structure стандартов R/A/A/Report (B-050)\n409|2026-07-10T12:34:31Z|chore: устранить P1-пробелы агентной модели B-064–B-066\n405|2026-07-10T11:32:01Z|chore: архивировать выполненные задачи бэклога\n403|2026-07-10T09:57:29Z|chore: Обновить бэклог Хаба — внести задачи глобального анализа v0.4 (issue #402)\n401|2026-07-09T13:30:20Z|research: корректирующее до-исследование §15 — Хаб вне границ, миграция репо→агент (issue #400)\n399|2026-07-09T08:53:58Z|research: дополнить hub-as-agent-system-global-analysis прикладным разделом §14 (issue #398)\n397|2026-07-06T06:03:20Z|audit(B-049): sync glossary + move cross-stress-test report to docs/audit/\n395|2026-07-06T05:46:15Z|research: Глобальный анализ Хаба как прообраза агентной системы — 27 гипотез, 157 стресс-тестов, методологический вектор (issue #394)\n393|2026-07-06T05:44:46Z|chore: restructure active backlog instructions\n391|2026-07-04T21:26:56Z|chore: Ревизия валидаторов после B-048\n389|2026-07-04T21:28:19Z|research: Не вводить kb/ и runs/ в Хаб без операционной боли\n388|2026-07-04T20:53:21Z|chore: Физическая миграция репозитория Хаба по ADR-007 (B-048)\n387|2026-07-04T18:31:21Z|chore: доработать ADR-007 до v0.3 — изъять kb/runs, зарезервировать docs/guides, перевести на русский\n383|2026-07-04T13:31:55Z|adr: Доработать ADR-007 полной структурой Хаба\n381|2026-07-04T13:30:41Z|chore: добавить downstream backlog tasks для миграции Хаба\n379|2026-07-04T12:30:53Z|adr: Зафиксировать целевую структуру корня Хаба (B-047)", | |
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| [2026-08-11T19:24:09.529Z] [INFO] "stdout": "498|2026-08-11T16:59:00Z|ops: универсальные SSOT по осям в agent-work-rules (RFC #470 §P.9)\n497|2026-08-11T17:02:20Z|analysis: выявить пробелы контрактов последовательных задач\n494|2026-08-11T19:07:02Z|research: multi-agent orchestration — taxonomy, coordination and cost-benefit (issue #487)\n493|2026-08-11T18:37:21Z|research: индустриальные практики наблюдаемости и трейсинга AI-агентов (issue #486)\n492|2026-08-11T16:20:30Z|ops: постусловие непустого диффа в CI и 5-блочный шаблон задач (RFC #470, шаги 1 и 3)\n491|2026-08-11T15:33:03Z|ops: внедрить контракты автономии ADR-010\n490|2026-08-11T16:26:48Z|research: study agent tool use practices\n489|2026-08-11T16:52:33Z|research: design Source Intelligence evals contract\n482|2026-08-11T05:41:38Z|research: study agentic evaluation practices\n481|2026-08-11T05:36:28Z|fix: устранить рассинхрон Operating Modes\n480|2026-08-07T16:01:47Z|adr: зафиксировать три принципа автономии агента (ADR-010)\n478|2026-08-07T16:14:57Z|chore(pr-ops): актуализировать backlog.md по итогам согласования ОПС (issue #475)\n477|2026-08-07T16:31:09Z|chore: устранить мелкие дефекты, обнаруженные при подготовке RFC #470 (issue #474)\n472|2026-08-07T07:08:06Z|research: study information extraction and graph modeling\n470|2026-08-06T07:31:59Z|rfc: архитектура постановки задач для AI-агентов (issue #469)\n468|2026-08-06T05:57:02Z|fix(ai-rules): убрать отдельный approval-gate после Readback\n467|2026-08-06T06:00:20Z|audit: размещение артефактов PR #462 корректно (research/hub/) — вердикт pass, issue #465\n464|2026-07-31T22:00:05Z|docs: разделить Research Method и Domain Methodology (B-090)\n462|2026-07-31T21:50:05Z|research(ops): эмпирическая валидация стратегии постановки задач для AI-агентов\n460|2026-07-31T17:33:49Z|research(memory): индустриальные практики реализации «Памяти» (Memory) в AI-агентах\n458|2026-07-30T17:16:10Z|research(task-processing): исследование промышленных практик агентного исполнения задач (#457)\n456|2026-07-30T05:52:03Z|chore: синхронизировать B-085 и B-053 с состоянием репозитория\n454|2026-07-29T14:41:49Z|'chore: Актуализация активного бэклога по валидированным PR (#452, #443) и исправление устаревших путей в описаниях'\n452|2026-07-22T06:58:44Z|standards: Миграция Research/Analysis/Audit/Report к мета-стандарту F10 и закрытие Q5 Evals Contract (B-053)\n450|2026-07-17T13:12:14Z|chore: refresh backlog through latest completed work\n448|2026-07-17T11:29:37Z|standards: расширить мета-стандарт F10 на все стандарты экосистемы (B-052)\n447|2026-07-17T11:33:39Z|chore: Исправить путь kb/ в ADR-009 и плане B-080\n445|2026-07-17T05:33:30Z|chore: align Sprint 2 evidence, Analysis, and Reports\n444|2026-07-17T05:30:50Z|chore/governance: Комплексная governance-очистка и 3-tier amendment policy (Спринт 1)\n443|2026-07-17T11:26:50Z|research: реорганизовать retrieval в Reference Research Pattern (B-089, #437)\n442|2026-07-17T05:43:56Z|analysis: детальный план миграции артефактов Mango при разделении репозиториев (B-080)\n441|2026-07-17T05:24:27Z|chore/adr: Расширить scope ADR-008 на все стандарты и закрыть B-051/B-067\n440|2026-07-17T05:23:05Z|'chore/adr: Исправить ссылку в evals-contract и расширить scope ADR-008 на все стандарты (B-067 post-merge)'\n432|2026-07-16T19:02:18Z|chore: Добавить triggered-задачу B-088 об иерархии SSOT\n431|2026-07-16T18:53:06Z|standards: Контракт evals/golden-sets для спока (B-067)\n430|2026-07-16T18:50:28Z|chore: разделить policy и agent rules по ADR-007 (B-056)\n429|2026-07-16T18:51:13Z|adr: Зафиксировать разделение Mango на публичный и приватный репозитории (B-079)\n428|2026-07-16T18:46:00Z|standard: кодифицировать F10 meta-structure стандартов (B-052)\n422|2026-07-16T05:26:24Z|chore: Гибридная лицензия CC BY 4.0 + Apache 2.0 в репозитории Хаба (B-085)\n421|2026-07-16T05:24:45Z|research(education): retrieval-стратегии для AI-агентов — survey и критический разбор (issue #418)\n420|2026-07-16T05:18:03Z|adr: Зафиксировать F10 meta-structure стандартов (B-051)\n416|2026-07-10T20:47:10Z|analysis: amend B-050 with explicit B-051 decision options\n414|2026-07-10T20:44:57Z|chore: Обновить бэклог (Спринт 8 — разделение Mango) и добавить строку cross-standard-stress-tests в artifact-map\n412|2026-07-10T14:26:40Z|chore: обновить Sprint 8 и карту audit-артефактов\n410|2026-07-10T13:30:59Z|analysis: сравнить meta-structure стандартов R/A/A/Report (B-050)\n409|2026-07-10T12:34:31Z|chore: устранить P1-пробелы агентной модели B-064–B-066\n405|2026-07-10T11:32:01Z|chore: архивировать выполненные задачи бэклога\n403|2026-07-10T09:57:29Z|chore: Обновить бэклог Хаба — внести задачи глобального анализа v0.4 (issue #402)\n401|2026-07-09T13:30:20Z|research: корректирующее до-исследование §15 — Хаб вне границ, миграция репо→агент (issue #400)\n399|2026-07-09T08:53:58Z|research: дополнить hub-as-agent-system-global-analysis прикладным разделом §14 (issue #398)\n397|2026-07-06T06:03:20Z|audit(B-049): sync glossary + move cross-stress-test report to docs/audit/\n395|2026-07-06T05:46:15Z|research: Глобальный анализ Хаба как прообраза агентной системы — 27 гипотез, 157 стресс-тестов, методологический вектор (issue #394)\n393|2026-07-06T05:44:46Z|chore: restructure active backlog instructions\n391|2026-07-04T21:26:56Z|chore: Ревизия валидаторов после B-048\n389|2026-07-04T21:28:19Z|research: Не вводить kb/ и runs/ в Хаб без операционной боли\n388|2026-07-04T20:53:21Z|chore: Физическая миграция репозитория Хаба по ADR-007 (B-048)\n387|2026-07-04T18:31:21Z|chore: доработать ADR-007 до v0.3 — изъять kb/runs, зарезервировать docs/guides, перевести на русский\n383|2026-07-04T13:31:55Z|adr: Доработать ADR-007 полной структурой Хаба\n381|2026-07-04T13:30:41Z|chore: добавить downstream backlog tasks для миграции Хаба\n379|2026-07-04T12:30:53Z|adr: Зафиксировать целевую структуру корня Хаба (B-047)", | |
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| [2026-08-11T19:24:25.161Z] [STDOUT] [log_a50869] response parsed { | |
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| [2026-08-11T19:24:33.128Z] [INFO] "content": "## Задача\n\nCloses #487 — независимое исследование индустриальных практик и фреймворков Multi-Agent Orchestration в режиме Creative, этап Research & Architecture Design.\n\n## Что сделано\n\nДобавлен восьмой модуль Reference Research Pattern: `research/ai-education/multi-agent-orchestration/` (`00-introduction` → `50-open-research`). Он покрывает:\n\n- таксономию orchestration-паттернов, механизмы координации, разрешение конфликтов и MCP/A2A/OpenTelemetry GenAI;\n- cost-benefit нескольких агентов против одного: token/latency/debugging overhead, критерии запуска, эскалацию и стоп-правила;\n- сравнение LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, MetaGPT и CAMEL/OWL с актуальными статусами AutoGen и Swarm;\n- интеграцию в Source Intelligence Engine по стадиям parsing → extraction → graph → API;\n- общий образовательный срез для всех ролей; ролевая специализация оставлена downstream-задачей;\n- валидацию принципа RFC #470 §P.5 «команда — покупка за конкретную цену» четырьмя типами свидетельств и четыре уточнения принципа.\n\n## Синхронизация с `main`\n\nMerge-конфликты разрешены с сохранением уже смерженных модулей Tool Use и Observability:\n\n- AI Education README: v0.8, восемь модулей;\n- external sources registry: v0.16; источники исследования перенумерованы в `ext-267`…`ext-284`, чтобы исключить коллизию с `ext-232`…`ext-266` из `main`;\n- artifact map: v1.89;\n- changelog: v1.72;\n- structure-validator allowlist и version pins синхронизированы.\n\n## Границы и review focus\n\n- Tier 1 для механической синхронизации navigation/map/registry/allowlist; само исследование остаётся draft research и не вводит governance-правил.\n- Исследование не является архитектурной спецификацией проекта и не продвигает мультиагентность как default.\n- Human review focus: доказательность сравнений, корректность границ между single-agent и multi-agent и применимость выводов к Source Intelligence Engine.\n- Remaining risk: опубликованные cost/failure оценки зависят от workload; локальные thresholds требуют отдельного эксперимента.\n\n## Проверка\n\nВсе проверки прошли локально:\n\n```text\nbash tools/test-frontmatter-validator.sh\nbash tools/test-smart-sync.sh\nbash tools/test-reference-research-terminology.sh", | |
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| [2026-08-11T19:24:33.128Z] [INFO] "stdout": "## Задача\n\nCloses #487 — независимое исследование индустриальных практик и фреймворков Multi-Agent Orchestration в режиме Creative, этап Research & Architecture Design.\n\n## Что сделано\n\nДобавлен восьмой модуль Reference Research Pattern: `research/ai-education/multi-agent-orchestration/` (`00-introduction` → `50-open-research`). Он покрывает:\n\n- таксономию orchestration-паттернов, механизмы координации, разрешение конфликтов и MCP/A2A/OpenTelemetry GenAI;\n- cost-benefit нескольких агентов против одного: token/latency/debugging overhead, критерии запуска, эскалацию и стоп-правила;\n- сравнение LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, MetaGPT и CAMEL/OWL с актуальными статусами AutoGen и Swarm;\n- интеграцию в Source Intelligence Engine по стадиям parsing → extraction → graph → API;\n- общий образовательный срез для всех ролей; ролевая специализация оставлена downstream-задачей;\n- валидацию принципа RFC #470 §P.5 «команда — покупка за конкретную цену» четырьмя типами свидетельств и четыре уточнения принципа.\n\n## Синхронизация с `main`\n\nMerge-конфликты разрешены с сохранением уже смерженных модулей Tool Use и Observability:\n\n- AI Education README: v0.8, восемь модулей;\n- external sources registry: v0.16; источники исследования перенумерованы в `ext-267`…`ext-284`, чтобы исключить коллизию с `ext-232`…`ext-266` из `main`;\n- artifact map: v1.89;\n- changelog: v1.72;\n- structure-validator allowlist и version pins синхронизированы.\n\n## Границы и review focus\n\n- Tier 1 для механической синхронизации navigation/map/registry/allowlist; само исследование остаётся draft research и не вводит governance-правил.\n- Исследование не является архитектурной спецификацией проекта и не продвигает мультиагентность как default.\n- Human review focus: доказательность сравнений, корректность границ между single-agent и multi-agent и применимость выводов к Source Intelligence Engine.\n- Remaining risk: опубликованные cost/failure оценки зависят от workload; локальные thresholds требуют отдельного эксперимента.\n\n## Проверка\n\nВсе проверки прошли локально:\n\n```text\nbash tools/test-frontmatter-validator.sh\nbash tools/test-smart-sync.sh\nbash tools/test-reference-research-terminology.sh", | |
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| [2026-08-11T19:24:41.662Z] [INFO] "content": "1\t---\n2\tstatus: draft\n3\tversion: 0.1\n4\tupdated: 2026-08-11\n5\ttemperature: 0.1\n6\tanalysis-subtype: recommendation\n7\tsource: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/495\"\n8\tscope: repo\n9\tbased_on: \"PR #491 + PR #492 + ADR-010 + RFC #470 + active governance contracts\"\n10\trelated_artifacts:\n11\t - \"docs/adr/2026-08-adr-010-agent-autonomy-principles.md\"\n12\t - \"docs/rfc/2026-08-06-rfc-task-statement-architecture.md\"\n13\t - \"ai-governance/ai-governance.md\"\n14\t - \"ai-rules/agent-work-rules.md\"\n15\t - \"docs/adr/2026-06-adr-002-artifact-document-methodology.md\"\n16\t - \"docs/adr/2026-07-adr-008-standard-meta-structure.md\"\n17\t - \"standards/adr-structure-standard.md\"\n18\t---\n19\t\n20\t# Неоднозначность контрактов при последовательных задачах внедрения\n21\t\n22\t## Summary / BLUF\n23\t\n24\tКонфликт PR [#491](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/491)\n25\tи [#492](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/492) — не\n26\tединичная ошибка выбора между удалением и redirect. Это **пробел композиции\n27\tнорм**: контракты отдельно регулируют автономию агента, human-only границы,\n28\tуровень governance-изменения, ссылки, статусы и верификацию, но не задают\n29\tцелостную семантику изменения уже существующего артефакта во времени. Поэтому\n30\tоба агента смогли локально обосновать взаимоисключающие действия над одним\n31\tпутём.\n32\t\n33\tПробел составной. Нет одновременно: объекта, охватываемого запретом на удаление\n34\thuman work; различия между historical record и active dependency; семантики\n35\tпереходов `active → deprecated → superseded → absent`; правил сохранения\n36\tидентичности пути и входящих ссылок; приоритета между исторической целостностью\n37\tи текущей link validation; precondition проверки решений недавно завершённых\n38\tзадач. Существующие правила обнаруживают конфликт только после выбора действия,\n39\tа не сужают выбор заранее.\n40\t\n41\tСледовательно, будущая нормативная работа должна начинаться не с выбора\n42\tконкретного механизма. Сначала требуется закрыть вопросы идентичности,\n43\tисторичности, допустимых переходов, обратимости, ссылочной совместимости,\n44\tприоритета норм и межзадачной преемственности. Этот Analysis фиксирует вопросы,\n45\tно не принимает стандарт, правило или способ проверки.\n46\t\n47\t## Context / Scope\n48\t\n49\tАнализ интерпретирует состояние репозитория на 2026-08-11 и выполняет issue\n50\t[#495](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/495). Основные\n51\tevidence:\n52\t\n53\t- PR #491 сохранил `.github/ISSUE_TEMPLATE/task-creative.md` как скрытый\n54\t deprecated compatibility redirect, чтобы не менять ссылки в ADR-010 и RFC\n55\t #470; отклонение было явно записано в PR;\n56\t- PR #492 первоначально удалил тот же файл, а активные Markdown-ссылки в\n57\t ADR-010 и RFC #470 превратил в code spans с маркером удаления, чтобы пройти\n58\t проверку ссылок;\n59\t- maintainer в\n60\t [комментарии review](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/492#issuecomment-5255432841)\n61\t потребовал восстановить historical links и redirect: валидатор должен\n62\t адаптироваться к историческим артефактам, а не переписывать их;\n63\t- финальный PR #492 восстановил подход PR #491.\n64\t\n65\tВ охват входят названные в issue контракты и их взаимодействие. Это локальный\n66\tcausal Analysis: внешнее исследование не проводится, compliance verdict не\n67\tвыносится. Документ не меняет контракты, не выбирает стандарт, не задаёт\n68\tвалидатор и не ретроактивно оценивает качество работы отдельных агентов.\n69\t\n70\t## Findings\n71\t\n72\t### 1. Тип ошибки: пробел композиции норм\n73\t\n74\tФормулировка «консолидировать шаблоны» определила целевую функцию, но не\n75\tопределила судьбу прежнего пути. Из неё следовали как минимум две внутренне\n76\tсогласованные интерпретации:\n77\t\n78\t1. функциональная консолидация: старый entry point перестаёт быть активным, но\n79\t путь сохраняет совместимость;\n80\t2. физическая консолидация: superseded-файл удаляется, а его упоминания\n81\t адаптируются к новому состоянию дерева.\n82\t\n83\tPR #491 выбрал первую интерпретацию через право экспертного исполнения\n84\t[ADR-010, Принцип 1](../adr/2026-08-adr-010-agent-autonomy-principles.md) и\n85\tзафиксировал отклонение. PR #492 выбрал вторую, сопоставив явный scope шага 3\n86\t[RFC #470](../rfc/2026-08-06-rfc-task-statement-architecture.md) с текущей\n87\tструктурой и link validation. Ни один исходный контракт не отвечал на\n88\tпредшествующий вопрос: означает ли прекращение active-функции прекращение\n89\tфайла, пути, содержимого, ссылочного адреса или только регистрации в UI.\n90\t\n91\tЭто не только пробел стандарта деприкации. Он образован пересечением пяти\n92\tнеопределённых границ:\n93\t\n94\t| Граница | Что определено | Чего не хватает для однозначного действия |\n95\t| --- | --- | --- |\n96\t| Автономия | Агент выбирает способ достижения цели; отклонение traceable. | Где заканчивается выбор способа при изменении identity/lifecycle существующего артефакта. |\n97\t| Hard Limits | Удаление или перезапись human work не переопределяются. | Является ли путь, metadata-only redirect, accepted ADR/RFC text или машинно созданный файл охраняемой human work; что считать удалением и перезаписью. |\n98\t| Amendment tier | Удаление артефакта — Tier 3; update links и allowlist могут быть Tier 1. | Как классифицировать одно составное изменение, где удаление, переписывание historical links и validator semantics конкурируют. |\n99\t| Lifecycle | Статусы существуют для классов документов. | Какие переходы разрешены физически, сохраняется ли path identity и что происходит с incoming links после terminal status. |\n100\t| Верификация | Проверки подтверждают структуру, ссылки и непустой дифф. | Как разрешать конфликт двух корректных инвариантов и какой из них должен адаптироваться. |\n101\t\n102\tПоэтому корневая ошибка — **нормативная недоопределённость перехода и его\n103\tкомпозиции**: нормы перечисляют ограничения вокруг действия, но не описывают\n104\tсам объект перехода, его состояние «до/после» и приоритеты при столкновении\n105\tинвариантов.\n106\t\n107\t### 2. Почему действующие предохранители не сузили выбор\n108\t\n109\t#### ADR-010\n110\t\n111\t[Принцип 1](../adr/2026-08-adr-010-agent-autonomy-principles.md) разрешает\n112\tкорректировать способ, если цель и hard limits сохранены. Однако изменение\n113\tпути одновременно выглядит как способ реализации консолидации и как решение о\n114\tжизненном цикле. Критерия различения этих классов нет.\n115\t\n116\t[Принцип 2](../adr/2026-08-adr-010-agent-autonomy-principles.md) относит удаление\n117\tили перезапись существующей человеческой работы к закрытому перечню. Но предмет\n118\tзащиты не операционализирован: текст, файл, путь, история, принятая ссылка и\n119\tслужебная оболочка могут давать разные ответы. В результате запрет силён по\n120\tформе, но не определяет applicability." | |
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| [2026-08-11T19:24:41.662Z] [INFO] "content": "---\nstatus: draft\nversion: 0.1\nupdated: 2026-08-11\ntemperature: 0.1\nanalysis-subtype: recommendation\nsource: \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/495\"\nscope: repo\nbased_on: \"PR #491 + PR #492 + ADR-010 + RFC #470 + active governance contracts\"\nrelated_artifacts:\n - \"docs/adr/2026-08-adr-010-agent-autonomy-principles.md\"\n - \"docs/rfc/2026-08-06-rfc-task-statement-architecture.md\"\n - \"ai-governance/ai-governance.md\"\n - \"ai-rules/agent-work-rules.md\"\n - \"docs/adr/2026-06-adr-002-artifact-document-methodology.md\"\n - \"docs/adr/2026-07-adr-008-standard-meta-structure.md\"\n - \"standards/adr-structure-standard.md\"\n---\n\n# Неоднозначность контрактов при последовательных задачах внедрения\n\n## Summary / BLUF\n\nКонфликт PR [#491](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/491)\nи [#492](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/492) — не\nединичная ошибка выбора между удалением и redirect. Это **пробел композиции\nнорм**: контракты отдельно регулируют автономию агента, human-only границы,\nуровень governance-изменения, ссылки, статусы и верификацию, но не задают\nцелостную семантику изменения уже существующего артефакта во времени. Поэтому\nоба агента смогли локально обосновать взаимоисключающие действия над одним\nпутём.\n\nПробел составной. Нет одновременно: объекта, охватываемого запретом на удаление\nhuman work; различия между historical record и active dependency; семантики\nпереходов `active → deprecated → superseded → absent`; правил сохранения\nидентичности пути и входящих ссылок; приоритета между исторической целостностью\nи текущей link validation; precondition проверки решений недавно завершённых\nзадач. Существующие правила обнаруживают конфликт только после выбора действия,\nа не сужают выбор заранее.\n\nСледовательно, будущая нормативная работа должна начинаться не с выбора\nконкретного механизма. Сначала требуется закрыть вопросы идентичности,\nисторичности, допустимых переходов, обратимости, ссылочной совместимости,\nприоритета норм и межзадачной преемственности. Этот Analysis фиксирует вопросы,\nно не принимает стандарт, правило или способ проверки.\n\n## Context / Scope\n\nАнализ интерпретирует состояние репозитория на 2026-08-11 и выполняет issue\n[#495](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/495). Основные\nevidence:\n\n- PR #491 сохранил `.github/ISSUE_TEMPLATE/task-creative.md` как скрытый\n deprecated compatibility redirect, чтобы не менять ссылки в ADR-010 и RFC\n #470; отклонение было явно записано в PR;\n- PR #492 первоначально удалил тот же файл, а активные Markdown-ссылки в\n ADR-010 и RFC #470 превратил в code spans с маркером удаления, чтобы пройти\n проверку ссылок;\n- maintainer в\n [комментарии review](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/492#issuecomment-5255432841)\n потребовал восстановить historical links и redirect: валидатор должен\n адаптироваться к историческим артефактам, а не переписывать их;\n- финальный PR #492 восстановил подход PR #491.\n\nВ охват входят названные в issue контракты и их взаимодействие. Это локальный\ncausal Analysis: внешнее исследование не проводится, compliance verdict не\nвыносится. Документ не меняет контракты, не выбирает стандарт, не задаёт\nвалидатор и не ретроактивно оценивает качество работы отдельных агентов.\n\n## Findings\n\n### 1. Тип ошибки: пробел композиции норм\n\nФормулировка «консолидировать шаблоны» определила целевую функцию, но не\nопределила судьбу прежнего пути. Из неё следовали как минимум две внутренне\nсогласованные интерпретации:\n\n1. функциональная консолидация: старый entry point перестаёт быть активным, но\n путь сохраняет совместимость;\n2. физическая консолидация: superseded-файл удаляется, а его упоминания\n адаптируются к новому состоянию дерева.\n\nPR #491 выбрал первую интерпретацию через право экспертного исполнения\n[ADR-010, Принцип 1](../adr/2026-08-adr-010-agent-autonomy-principles.md) и\nзафиксировал отклонение. PR #492 выбрал вторую, сопоставив явный scope шага 3\n[RFC #470](../rfc/2026-08-06-rfc-task-statement-architecture.md) с текущей\nструктурой и link validation. Ни один исходный контракт не отвечал на\nпредшествующий вопрос: означает ли прекращение active-функции прекращение\nфайла, пути, содержимого, ссылочного адреса или только регистрации в UI.\n\nЭто не только пробел стандарта деприкации. Он образован пересечением пяти\nнеопределённых границ:\n\n| Граница | Что определено | Чего не хватает для однозначного действия |\n| --- | --- | --- |\n| Автономия | Агент выбирает способ достижения цели; отклонение traceable. | Где заканчивается выбор способа при изменении identity/lifecycle существующего артефакта. |\n| Hard Limits | Удаление или перезапись human work не переопределяются. | Является ли путь, metadata-only redirect, accepted ADR/RFC text или машинно созданный файл охраняемой human work; что считать удалением и перезаписью. |\n| Amendment tier | Удаление артефакта — Tier 3; update links и allowlist могут быть Tier 1. | Как классифицировать одно составное изменение, где удаление, переписывание historical links и validator semantics конкурируют. |\n| Lifecycle | Статусы существуют для классов документов. | Какие переходы разрешены физически, сохраняется ли path identity и что происходит с incoming links после terminal status. |\n| Верификация | Проверки подтверждают структуру, ссылки и непустой дифф. | Как разрешать конфликт двух корректных инвариантов и какой из них должен адаптироваться. |\n\nПоэтому корневая ошибка — **нормативная недоопределённость перехода и его\nкомпозиции**: нормы перечисляют ограничения вокруг действия, но не описывают\nсам объект перехода, его состояние «до/после» и приоритеты при столкновении\nинвариантов.\n\n### 2. Почему действующие предохранители не сузили выбор\n\n#### ADR-010\n\n[Принцип 1](../adr/2026-08-adr-010-agent-autonomy-principles.md) разрешает\nкорректировать способ, если цель и hard limits сохранены. Однако изменение\nпути одновременно выглядит как способ реализации консолидации и как решение о\nжизненном цикле. Критерия различения этих классов нет.\n\n[Принцип 2](../adr/2026-08-adr-010-agent-autonomy-principles.md) относит удаление\nили перезапись существующей человеческой работы к закрытому перечню. Но предмет\nзащиты не операционализирован: текст, файл, путь, история, принятая ссылка и\nслужебная оболочка могут давать разные ответы. В результате запрет силён по\nформе, но не определяет applicability.", | |
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| [2026-08-11T19:24:41.870Z] [INFO] "service_tier": "standard", | |
| [2026-08-11T19:24:41.870Z] [INFO] "inference_geo": "not_available" | |
| [2026-08-11T19:24:41.870Z] [INFO] }, | |
| [2026-08-11T19:24:41.870Z] [INFO] "diagnostics": null, | |
| [2026-08-11T19:24:41.870Z] [INFO] "context_management": null | |
| [2026-08-11T19:24:41.870Z] [INFO] }, | |
| [2026-08-11T19:24:41.870Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:24:41.870Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:24:41.870Z] [INFO] "uuid": "ad28bafc-3c38-4949-9279-be2b17f7fb70", | |
| [2026-08-11T19:24:41.870Z] [INFO] "timestamp": "2026-08-11T19:24:41.865Z", | |
| [2026-08-11T19:24:41.870Z] [INFO] "request_id": "req_011CdwWS5vsZ9Ja8baqGot8g" | |
| [2026-08-11T19:24:41.870Z] [INFO] } | |
| [2026-08-11T19:24:44.908Z] [INFO] { | |
| [2026-08-11T19:24:44.908Z] [INFO] "type": "system", | |
| [2026-08-11T19:24:44.908Z] [INFO] "subtype": "task_started", | |
| [2026-08-11T19:24:44.908Z] [INFO] "task_id": "bj35dwd3m", | |
| [2026-08-11T19:24:44.908Z] [INFO] "tool_use_id": "toolu_01BtSzNHF7xn2uDenfzaZFzK", | |
| [2026-08-11T19:24:44.908Z] [INFO] "description": "sed -n 1,200p tools/validate-repository-structure.sh", | |
| [2026-08-11T19:24:44.908Z] [INFO] "task_type": "local_bash", | |
| [2026-08-11T19:24:44.908Z] [INFO] "uuid": "625baa5c-9489-4707-810b-9027b3a3663f", | |
| [2026-08-11T19:24:44.908Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:24:44.908Z] [INFO] } | |
| [2026-08-11T19:24:44.964Z] [INFO] { | |
| [2026-08-11T19:24:44.964Z] [INFO] "type": "system", | |
| [2026-08-11T19:24:44.964Z] [INFO] "subtype": "task_notification", | |
| [2026-08-11T19:24:44.964Z] [INFO] "task_id": "bj35dwd3m", | |
| [2026-08-11T19:24:44.964Z] [INFO] "tool_use_id": "toolu_01BtSzNHF7xn2uDenfzaZFzK", | |
| [2026-08-11T19:24:44.964Z] [INFO] "status": "completed", | |
| [2026-08-11T19:24:44.964Z] [INFO] "output_file": "", | |
| [2026-08-11T19:24:44.964Z] [INFO] "summary": "sed -n 1,200p tools/validate-repository-structure.sh", | |
| [2026-08-11T19:24:44.964Z] [INFO] "uuid": "4f4dd1d5-b92d-44ba-9836-8a013dc05212", | |
| [2026-08-11T19:24:44.964Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:24:44.964Z] [INFO] } | |
| [2026-08-11T19:24:44.991Z] [INFO] { | |
| [2026-08-11T19:24:44.991Z] [INFO] "type": "user", | |
| [2026-08-11T19:24:44.991Z] [INFO] "message": { | |
| [2026-08-11T19:24:44.991Z] [INFO] "role": "user", | |
| [2026-08-11T19:24:44.991Z] [INFO] "content": [ | |
| [2026-08-11T19:24:44.991Z] [INFO] { | |
| [2026-08-11T19:24:44.991Z] [INFO] "tool_use_id": "toolu_01BtSzNHF7xn2uDenfzaZFzK", | |
| [2026-08-11T19:24:44.991Z] [INFO] "type": "tool_result", | |
| [2026-08-11T19:24:44.991Z] [INFO] "content": "#!/usr/bin/env bash\nset -euo pipefail\n\nROOT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\ncd \"$ROOT_DIR\"\n\n./tools/validate-evidence-structure.sh\n\nfailures=0\n\nfail() {\n printf 'ERROR: %s\\n' \"$1\" >&2\n failures=$((failures + 1))\n}\n\nrequire_dir() {\n local path=\"$1\"\n [[ -d \"$path\" ]] || fail \"missing directory: $path\"\n}\n\nrequire_file() {\n local path=\"$1\"\n [[ -f \"$path\" ]] || fail \"missing file: $path\"\n}\n\nreject_file() {\n local path=\"$1\"\n [[ ! -e \"$path\" ]] || fail \"forbidden legacy file present: $path\"\n}\n\nreject_path() {\n local path=\"$1\"\n [[ ! -e \"$path\" ]] || fail \"forbidden legacy path present: $path\"\n}\n\nrequire_text() {\n local path=\"$1\"\n local text=\"$2\"\n if [[ -f \"$path\" ]] && ! grep -Fq -e \"$text\" \"$path\"; then\n fail \"$path must contain: $text\"\n fi\n}\n\nreject_text() {\n local path=\"$1\"\n local text=\"$2\"\n if [[ -f \"$path\" ]] && grep -Fq -e \"$text\" \"$path\"; then\n fail \"$path must not contain: $text\"\n fi\n}\n\nis_active_file() {\n case \"$1\" in\n README.md | \\\n .gitignore | \\\n docs/concept.md | \\\n CONTRIBUTING.md | \\\n GOVERNANCE.md | \\\n ai-governance/README.md | \\\n ai-governance/ai-governance.md | \\\n ai-governance/agent-security-checklist.md | \\\n ai-rules/README.md | \\\n ai-rules/agent-work-rules.md | \\\n ai-rules/agent-onboarding-protocol.md | \\\n ai-rules/adversarial-stress-testing.md | \\\n pr-ops/README.md | \\\n pr-ops/repo-model.md | \\\n pr-ops/artifact-map.md | \\\n pr-ops/backlog.md | \\\n pr-ops/backlog-instruction.md | \\\n pr-ops/executable-documents-issues.md | \\\n pr-ops/session-digests.md | \\\n projects-sink/README.md | \\\n projects-sink/AI_PROJECT_CONTEXT-Summary.md | \\\n docs/guides/README.md | \\\n CHANGELOG.md | \\\n LICENSE | \\\n docs/report/2026-06-30-pr-303-rfc-hypothesis-analysis.md | \\\n docs/report/2026-07-01-reports-inventory-placement-analysis.md | \\\n docs/report/2026-07-01-rfc-adr-duplication-analysis.md | \\\n docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md | \\\n docs/adr/2026-06-adr-002-artifact-document-methodology.md | \\\n docs/adr/2026-07-adr-003-research-structure.md | \\\n docs/adr/2026-07-adr-004-reports-structure.md | \\\n docs/adr/2026-07-adr-005-audit-structure.md | \\\n docs/adr/2026-07-adr-006-analysis-structure.md | \\\n docs/adr/2026-07-adr-007-hub-root-structure.md | \\\n docs/adr/2026-07-adr-008-standard-meta-structure.md | \\\n docs/adr/2026-07-adr-009-mango-repo-split.md | \\\n docs/adr/2026-08-adr-010-agent-autonomy-principles.md | \\\n docs/adr/README.md | \\\n standards/README.md | \\\n standards/frontmatter-standard.md | \\\n standards/file-naming.md | \\\n standards/file-naming-convention.md | \\\n standards/research-standard.md | \\\n standards/report-standard.md | \\\n standards/audit-standard.md | \\\n standards/analysis-standard.md | \\\n standards/standard-meta-structure.md | \\\n standards/glossary.md | \\\n standards/education-profile.md | \\\n standards/product-profile.md | \\\n standards/team-contract.md | \\\n standards/issue-workflow.md | \\\n standards/session-handover-standard.md | \\\n standards/project-structure-inheritance.md | \\\n standards/executable-contract-standard.md | \\\n standards/contract-documentation-standard.md | \\\n standards/frontmatter-docs-standard.md | \\\n standards/adr-structure-standard.md | \\\n standards/rfc-structure-standard.md | \\\n standards/executable-documentation-standard.md | \\\n standards/htom-documentation-structure.md | \\\n standards/webportal-product-concept-standard.md | \\\n standards/webportal-solution-concept-standard.md | \\\n standards/evals-contract-standard.md | \\\n research/mango/2026-05-26-taxonomy-concept.md | \\\n research/mango/2026-05-26-requirements-lifecycle-uncertainty.md | \\\n research/mango/2026-05-26-rag-mapping-roadmap.md | \\\n research/mango/2026-05-27-capability-decomposition.md | \\\n research/hub/2026-05-28-project-context-and-bootstrap-patterns.md | \\\n research/hub/2026-06-02-ai-collaboration-retrospective.md | \\\n research/hub/2026-06-02-ai-collaboration-retrospective-mango-migration.md | \\\n research/hub/2026-05-28-prompts-classification-audit.md | \\\n research/hub/2026-05-28-prompts-classification-standard.md | \\\n research/hub/2026-06-01-team-c-governance-strategy-audit.md | \\\n research/hub/2026-06-02-external-governance-patterns-review.md | \\\n research/hub/2026-06-12-ecosystem-governance-audit.md | \\\n research/hub/2026-06-20-ecosystem-architecture-research.md | \\\n research/hub/2026-06-12-external-practice-intake.md | \\\n research/hub/2026-06-12-international-ai-governance-practices.md | \\\n research/external-knowledge/2026-06-18-wigers-requirements-analysis.md | \\\n research/hub/2026-05-28-user-prompts-analysis.md | \\\n research/hub/2026-06-23-repository-structure-concept.md | \\\n research/hub/2026-06-25-artifact-inventory-and-classification.md | \\\n research/hub/2026-06-27-rfc-industry-norms-and-variants.md | \\\n research/hub/2026-06-27-adr-industry-norms-and-variants.md | \\\n research/hub/2026-06-28-ripple-effects-282-research.md | \\\n research/hub/2026-06-28-research-analysis-audit-inventory.md | \\\n research/hub/2026-06-30-reports-industry-norms-and-standardization-scope.md | \\\n research/hub/2026-07-02-task-execution-modes-research.md | \\\n research/hub/2026-07-04-hub-as-agent-system-global-analysis.md | \\\n research/README.md | \\\n research/education/README.md | \\\n research/ai-education/README.md | \\\n research/education/2026-07-16-retrieval-strategies-survey.md | \\\n research/ai-education/retrieval/00-introduction.md | \\\n research/ai-education/retrieval/10-theory.md | \\\n research/ai-education/retrieval/20-taxonomy.md | \\\n research/ai-education/retrieval/30-decision-framework.md | \\\n research/ai-education/retrieval/40-practice-and-cases.md | \\\n research/ai-education/retrieval/50-open-research.md | \\\n research/ai-education/task-processing/00-introduction.md | \\\n research/ai-education/task-processing/10-theory.md | \\\n research/ai-education/task-processing/20-taxonomy.md | \\\n research/ai-education/task-processing/30-decision-framework.md | \\\n research/ai-education/task-processing/40-practice-and-cases.md | \\\n research/ai-education/task-processing/50-open-research.md | \\\n research/ai-education/memory/00-introduction.md | \\\n research/ai-education/memory/10-theory.md | \\\n research/ai-education/memory/20-taxonomy.md | \\\n research/ai-education/memory/30-decision-framework.md | \\\n research/ai-education/memory/40-practice-and-cases.md | \\\n research/ai-education/memory/50-open-research.md | \\\n research/ai-education/information-extraction-graph-modeling/00-introduction.md | \\\n research/ai-education/information-extraction-graph-modeling/10-theory.md | \\\n research/ai-education/information-extraction-graph-modeling/20-taxonomy.md | \\\n research/ai-education/information-extraction-graph-modeling/30-decision-framework.md | \\\n research/ai-education/information-extraction-graph-modeling/40-practice-and-cases.md | \\\n research/ai-education/information-extraction-graph-modeling/50-open-research.md | \\\n research/ai-education/evaluation/00-introduction.md | \\\n research/ai-education/evaluation/10-theory.md | \\\n research/ai-education/evaluation/20-taxonomy.md | \\\n research/ai-education/evaluation/30-decision-framework.md | \\\n research/ai-education/evaluation/40-practice-and-cases.md | \\\n research/ai-education/evaluation/50-open-research.md | \\\n research/ai-education/multi-agent-orchestration/00-introduction.md | \\\n research/ai-education/multi-agent-orchestration/10-theory.md | \\\n research/ai-education/multi-agent-orchestration/20-taxonomy.md | \\\n research/ai-education/multi-agent-orchestration/30-decision-framework.md | \\\n research/ai-education/multi-agent-orchestration/40-practice-and-cases.md | \\\n research/ai-education/multi-agent-orchestration/50-open-research.md | \\\n research/ai-education/observability/00-introduction.md | \\\n research/ai-education/observability/10-theory.md | \\\n research/ai-education/observability/20-taxonomy.md | \\\n research/ai-education/observability/30-decision-framework.md | \\\n research/ai-education/observability/40-practice-and-cases.md | \\\n research/ai-education/observability/50-open-research.md | \\\n research/ai-education/evaluation/2026-08-11-source-intelligence-evals-contract.md | \\\n research/ai-education/tool-use/00-introduction.md | \\\n research/ai-education/tool-use/10-theory.md | \\\n research/ai-education/tool-use/20-taxonomy.md | \\\n research/ai-education/tool-use/30-decision-framework.md | \\\n research/ai-education/tool-use/40-practice-and-cases.md | \\\n research/ai-education/tool-use/50-open-research.md | \\\n research/hub/README.md | \\\n research/hub/exp/rfc-adr-industry-norms-278/README.md | \\\n research/hub/exp/rfc-adr-industry-norms-278/collect-evidence.py | \\\n research/hub/exp/rfc-adr-industry-norms-278/collect-evidence.log | \\", | |
| [2026-08-11T19:24:44.991Z] [INFO] "is_error": false | |
| [2026-08-11T19:24:44.991Z] [INFO] } | |
| [2026-08-11T19:24:44.991Z] [INFO] ] | |
| [2026-08-11T19:24:44.991Z] [INFO] }, | |
| [2026-08-11T19:24:44.991Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:24:44.991Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:24:44.991Z] [INFO] "uuid": "320a896e-ffe7-4692-8a2e-960dcba174ff", | |
| [2026-08-11T19:24:44.991Z] [INFO] "timestamp": "2026-08-11T19:24:44.981Z", | |
| [2026-08-11T19:24:44.991Z] [INFO] "tool_use_result": { | |
| [2026-08-11T19:24:44.991Z] [INFO] "stdout": "#!/usr/bin/env bash\nset -euo pipefail\n\nROOT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\ncd \"$ROOT_DIR\"\n\n./tools/validate-evidence-structure.sh\n\nfailures=0\n\nfail() {\n printf 'ERROR: %s\\n' \"$1\" >&2\n failures=$((failures + 1))\n}\n\nrequire_dir() {\n local path=\"$1\"\n [[ -d \"$path\" ]] || fail \"missing directory: $path\"\n}\n\nrequire_file() {\n local path=\"$1\"\n [[ -f \"$path\" ]] || fail \"missing file: $path\"\n}\n\nreject_file() {\n local path=\"$1\"\n [[ ! -e \"$path\" ]] || fail \"forbidden legacy file present: $path\"\n}\n\nreject_path() {\n local path=\"$1\"\n [[ ! -e \"$path\" ]] || fail \"forbidden legacy path present: $path\"\n}\n\nrequire_text() {\n local path=\"$1\"\n local text=\"$2\"\n if [[ -f \"$path\" ]] && ! grep -Fq -e \"$text\" \"$path\"; then\n fail \"$path must contain: $text\"\n fi\n}\n\nreject_text() {\n local path=\"$1\"\n local text=\"$2\"\n if [[ -f \"$path\" ]] && grep -Fq -e \"$text\" \"$path\"; then\n fail \"$path must not contain: $text\"\n fi\n}\n\nis_active_file() {\n case \"$1\" in\n README.md | \\\n .gitignore | \\\n docs/concept.md | \\\n CONTRIBUTING.md | \\\n GOVERNANCE.md | \\\n ai-governance/README.md | \\\n ai-governance/ai-governance.md | \\\n ai-governance/agent-security-checklist.md | \\\n ai-rules/README.md | \\\n ai-rules/agent-work-rules.md | \\\n ai-rules/agent-onboarding-protocol.md | \\\n ai-rules/adversarial-stress-testing.md | \\\n pr-ops/README.md | \\\n pr-ops/repo-model.md | \\\n pr-ops/artifact-map.md | \\\n pr-ops/backlog.md | \\\n pr-ops/backlog-instruction.md | \\\n pr-ops/executable-documents-issues.md | \\\n pr-ops/session-digests.md | \\\n projects-sink/README.md | \\\n projects-sink/AI_PROJECT_CONTEXT-Summary.md | \\\n docs/guides/README.md | \\\n CHANGELOG.md | \\\n LICENSE | \\\n docs/report/2026-06-30-pr-303-rfc-hypothesis-analysis.md | \\\n docs/report/2026-07-01-reports-inventory-placement-analysis.md | \\\n docs/report/2026-07-01-rfc-adr-duplication-analysis.md | \\\n docs/adr/2026-06-adr-001-ecosystem-infrastructure-methodology.md | \\\n docs/adr/2026-06-adr-002-artifact-document-methodology.md | \\\n docs/adr/2026-07-adr-003-research-structure.md | \\\n docs/adr/2026-07-adr-004-reports-structure.md | \\\n docs/adr/2026-07-adr-005-audit-structure.md | \\\n docs/adr/2026-07-adr-006-analysis-structure.md | \\\n docs/adr/2026-07-adr-007-hub-root-structure.md | \\\n docs/adr/2026-07-adr-008-standard-meta-structure.md | \\\n docs/adr/2026-07-adr-009-mango-repo-split.md | \\\n docs/adr/2026-08-adr-010-agent-autonomy-principles.md | \\\n docs/adr/README.md | \\\n standards/README.md | \\\n standards/frontmatter-standard.md | \\\n standards/file-naming.md | \\\n standards/file-naming-convention.md | \\\n standards/research-standard.md | \\\n standards/report-standard.md | \\\n standards/audit-standard.md | \\\n standards/analysis-standard.md | \\\n standards/standard-meta-structure.md | \\\n standards/glossary.md | \\\n standards/education-profile.md | \\\n standards/product-profile.md | \\\n standards/team-contract.md | \\\n standards/issue-workflow.md | \\\n standards/session-handover-standard.md | \\\n standards/project-structure-inheritance.md | \\\n standards/executable-contract-standard.md | \\\n standards/contract-documentation-standard.md | \\\n standards/frontmatter-docs-standard.md | \\\n standards/adr-structure-standard.md | \\\n standards/rfc-structure-standard.md | \\\n standards/executable-documentation-standard.md | \\\n standards/htom-documentation-structure.md | \\\n standards/webportal-product-concept-standard.md | \\\n standards/webportal-solution-concept-standard.md | \\\n standards/evals-contract-standard.md | \\\n research/mango/2026-05-26-taxonomy-concept.md | \\\n research/mango/2026-05-26-requirements-lifecycle-uncertainty.md | \\\n research/mango/2026-05-26-rag-mapping-roadmap.md | \\\n research/mango/2026-05-27-capability-decomposition.md | \\\n research/hub/2026-05-28-project-context-and-bootstrap-patterns.md | \\\n research/hub/2026-06-02-ai-collaboration-retrospective.md | \\\n research/hub/2026-06-02-ai-collaboration-retrospective-mango-migration.md | \\\n research/hub/2026-05-28-prompts-classification-audit.md | \\\n research/hub/2026-05-28-prompts-classification-standard.md | \\\n research/hub/2026-06-01-team-c-governance-strategy-audit.md | \\\n research/hub/2026-06-02-external-governance-patterns-review.md | \\\n research/hub/2026-06-12-ecosystem-governance-audit.md | \\\n research/hub/2026-06-20-ecosystem-architecture-research.md | \\\n research/hub/2026-06-12-external-practice-intake.md | \\\n research/hub/2026-06-12-international-ai-governance-practices.md | \\\n research/external-knowledge/2026-06-18-wigers-requirements-analysis.md | \\\n research/hub/2026-05-28-user-prompts-analysis.md | \\\n research/hub/2026-06-23-repository-structure-concept.md | \\\n research/hub/2026-06-25-artifact-inventory-and-classification.md | \\\n research/hub/2026-06-27-rfc-industry-norms-and-variants.md | \\\n research/hub/2026-06-27-adr-industry-norms-and-variants.md | \\\n research/hub/2026-06-28-ripple-effects-282-research.md | \\\n research/hub/2026-06-28-research-analysis-audit-inventory.md | \\\n research/hub/2026-06-30-reports-industry-norms-and-standardization-scope.md | \\\n research/hub/2026-07-02-task-execution-modes-research.md | \\\n research/hub/2026-07-04-hub-as-agent-system-global-analysis.md | \\\n research/README.md | \\\n research/education/README.md | \\\n research/ai-education/README.md | \\\n research/education/2026-07-16-retrieval-strategies-survey.md | \\\n research/ai-education/retrieval/00-introduction.md | \\\n research/ai-education/retrieval/10-theory.md | \\\n research/ai-education/retrieval/20-taxonomy.md | \\\n research/ai-education/retrieval/30-decision-framework.md | \\\n 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templates/webportal-product-concept-template.md | \\\n templates/webportal-solution-concept-template.md | \\\n templates/sync-project-with-hub-prompt.md | \\\n templates/manifest.json | \\\n templates/sync-metadata.json | \\\n tools/generate-manifest.py | \\\n tools/sync-from-hub.sh | \\\n tools/test-frontmatter-validator.sh | \\\n tools/test-evidence-structure-validator.sh | \\\n tools/test-reference-research-terminology.sh | \\\n tools/test-mango-kb-migration-contract.sh | \\\n tools/test-smart-sync.sh | \\\n tools/test-post-migration-validator.sh | \\\n tools/test-sprint-5-agent-model.sh | \\\n tools/test-agent-onboarding-authorization.sh | \\\n tools/test-operating-mode-contract.sh | \\\n tools/test-check-agent-work-rules-size.sh | \\\n tools/check-agent-work-rules-size.sh | \\\n tools/test-nonempty-diff.sh | \\\n tools/validate-nonempty-diff.sh | \\\n tools/validate-frontmatter.sh | \\\n tools/validate-evidence-structure.sh | \\\n tools/validate-file-naming.sh | \\\n tools/validate-repository-structure.sh)\n return 0\n ;;\n *)\n return 1\n ;;\n esac\n}\n\nis_old_file() {\n local name=\"${1##*/}\"\n [[ \"$name\" == *-old || \"$name\" == *-old.* ]]\n}\n\nvalidate_kebab_case_file_naming() {\n local dir=\"$1\"\n local file\n local basename\n\n while IFS= read -r file; do\n basename=\"${file##*/}\"\n\n case \"$basename\" in\n README.md | LICENSE | CHANGELOG.md)\n continue\n ;;\n esac\n\n if [[ ! \"$basename\" =~ ^[a-z0-9]+(-[a-z0-9]+)*\\.md$ ]]; then\n fail \"$dir file must use kebab-case: $file\"\n fi\n done < <(find \"$dir\" -maxdepth 1 -type f)\n}\n\nvalidate_metadata_single_source() {\n local file\n\n while IFS= read -r file; do\n if awk '\n NR == 1 {\n if ($0 != \"---\") {\n exit 1\n }\n next\n }\n\n !frontmatter_done {\n if ($0 == \"---\") {\n frontmatter_done = 1\n next\n }\n if ($0 ~ /^(status|version|updated|temperature):[[:space:]]*/) {\n has_metadata = 1\n }\n next\n }\n\n frontmatter_done {\n if (!has_metadata) {\n exit 1\n }\n body_lines += 1\n if (body_lines > 20) {\n exit 1\n }\n if ($0 ~ /^[[:space:]]*(Версия|Дата|Статус|Version|Date|Status):/) {\n found_duplicate = 1\n exit 0\n }\n }\n\n END {\n if (found_duplicate) {\n exit 0\n }\n exit 1\n }\n ' \"$file\"; then\n fail \"Metadata duplicated in body of $file. Keep it only in frontmatter.\"\n fi\n done < <(find standards pr-ops ai-rules ai-governance projects-sink docs/rfc docs/guides research -type f -name '*.md' | sort)\n}\n\nvalidate_internal_markdown_links() {\n local file\n local link_target\n local target_without_anchor\n local target_path\n local file_dir\n\n while IFS= read -r file; do\n file_dir=\"$(dirname \"$file\")\"\n\n while IFS= read -r link_target; do\n case \"$link_target\" in\n http://* | https://* | mailto:* | tel:* | ftp://* | \"#\"* )\n continue\n ;;\n esac\n\n if [[ \"$link_target\" == *\"{{\"* || \"$link_target\" == *\"}}\"* ]]; then\n continue\n fi\n\n target_without_anchor=\"${link_target%%#*}\"\n target_without_anchor=\"${target_without_anchor%%\\?*}\"\n\n if [[ -z \"$target_without_anchor\" || \"$target_without_anchor\" != *.md ]]; then\n continue\n fi\n\n if [[ \"$target_without_anchor\" == /* ]]; then\n target_path=\".${target_without_anchor}\"\n else\n target_path=\"$file_dir/$target_without_anchor\"", | |
| [2026-08-11T19:24:51.641Z] [INFO] "is_error": false | |
| [2026-08-11T19:24:51.641Z] [INFO] } | |
| [2026-08-11T19:24:51.641Z] [INFO] ] | |
| [2026-08-11T19:24:51.641Z] [INFO] }, | |
| [2026-08-11T19:24:51.641Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:24:51.641Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:24:51.641Z] [INFO] "uuid": "d1292cd6-b4eb-4512-b761-0272d71828ac", | |
| [2026-08-11T19:24:51.641Z] [INFO] "timestamp": "2026-08-11T19:24:51.629Z", | |
| [2026-08-11T19:24:51.641Z] [INFO] "tool_use_result": { | |
| [2026-08-11T19:24:51.641Z] [INFO] "stdout": " research/hub/exp/rfc-adr-industry-norms-278/collect-evidence.log | \\\n research/hub/exp/rfc-adr-industry-norms-278/local-rfc-adr-audit.json | \\\n research/hub/exp/rfc-adr-industry-norms-278/rfc-external-tree-summary.json | \\\n research/hub/exp/rfc-adr-industry-norms-278/adr-external-tree-summary.json | \\\n research/hub/exp/rfc-adr-industry-norms-278/2026-06-27-local-rfc-adr-audit.md | \\\n research/hub/exp/rfc-adr-industry-norms-278/2026-06-27-rfc-external-tree-summary.md | \\\n research/hub/exp/rfc-adr-industry-norms-278/2026-06-27-adr-external-tree-summary.md | \\\n research/hub/exp/ripple-effects-282/README.md | \\\n research/hub/exp/ripple-effects-282/scan-frontmatter.py | \\\n research/hub/exp/ripple-effects-282/frontmatter-scan.json | \\\n research/hub/exp/ripple-effects-282/2026-06-28-frontmatter-scan.md | \\\n research/hub/exp/research-analysis-audit-288/README.md | \\\n research/hub/exp/research-analysis-audit-288/scan-artifacts.py | \\\n research/hub/exp/research-analysis-audit-288/artifact-classification.json | \\\n research/hub/exp/research-analysis-audit-288/2026-06-28-artifact-classification-matrix.md | \\\n research/hub/exp/reports-inventory-310/README.md | \\\n research/hub/exp/reports-inventory-310/scan-reports.py | \\\n research/hub/exp/reports-inventory-310/reports-inventory.json | \\\n research/hub/exp/reports-inventory-310/2026-07-01-reports-artifact-matrix.md | \\\n research/hub/exp/analysis-inventory-342/README.md | \\\n research/hub/exp/analysis-inventory-342/scan-analysis.py | \\\n research/hub/exp/analysis-inventory-342/analysis-inventory.json | \\\n research/hub/exp/analysis-inventory-342/2026-07-02-analysis-artifact-matrix.md | \\\n research/hub/exp/task-execution-modes-330/README.md | \\\n research/hub/exp/task-execution-modes-330/classify.py | \\\n research/hub/exp/task-execution-modes-330/results.json | \\\n research/hub/exp/task-execution-modes-330/run.log | \\\n research/hub/exp/task-execution-modes-330/2026-07-02-test1-backlog.md | \\\n research/hub/exp/task-execution-modes-330/2026-07-02-test2-issues.md | \\\n research/hub/exp/task-execution-modes-330/2026-07-02-test3-conflict.md | \\\n research/hub/exp/task-execution-modes-330/2026-07-02-test4-evolution.md | \\\n research/hub/exp/task-execution-modes-330/2026-07-02-test5-industry.md | \\\n research/hub/2026-07-31-ops-task-strategy-validation.md | \\\n research/hub/exp/ops-task-strategy-461/README.md | \\\n research/hub/exp/ops-task-strategy-461/collect-evidence.py | \\\n research/hub/exp/ops-task-strategy-461/collect-evidence.log | \\\n research/hub/exp/ops-task-strategy-461/corpus-metrics.json | \\\n research/hub/exp/ops-task-strategy-461/analyze-outcomes.py | \\\n research/hub/exp/ops-task-strategy-461/analyze-outcomes.log | \\\n research/hub/exp/ops-task-strategy-461/analysis-outcomes.json | \\\n research/hub/exp/ops-task-strategy-461/experiment-references.py | \\\n research/hub/exp/ops-task-strategy-461/experiment-references.log | \\\n research/hub/exp/ops-task-strategy-461/experiment-references.json | \\\n research/hub/exp/ops-task-strategy-461/experiment-closure.py | \\\n research/hub/exp/ops-task-strategy-461/experiment-closure.log | \\\n research/hub/exp/ops-task-strategy-461/experiment-closure.json | \\\n research/hub/exp/ops-task-strategy-461/model-contract-index.py | \\\n research/hub/exp/ops-task-strategy-461/model-contract-index.log | \\\n research/hub/exp/ops-task-strategy-461/model-contract-index.json | \\\n research/mango/README.md | \\\n research/governance/README.md | \\\n research/governance/2026-06-06-research-documentation-format.md | \\\n research/governance/2026-06-06-executable-contract-format.md | \\\n research/governance/2026-06-06-contract-documentation-format.md | \\\n research/governance/2026-06-06-governance-folder-structure-decisions.md | \\\n research/cicd/README.md | \\\n research/cicd/2026-06-09-js-cicd-template-analysis.md | \\\n research/open-ai-ru/README.md | \\\n research/open-ai-ru/2026-06-20-open-ai-ru-repository-architecture-and-l3-l4.md | \\\n research/reputation-technologies/README.md | \\\n research/reputation-technologies/2026-06-20-founders-vision-and-framework.ru.md | \\\n research/reputation-technologies/2026-06-20-framework-standard.en.md | \\\n research/reputation-technologies/2026-06-20-white-paper.en.md | \\\n research/reputation-technologies/2026-06-20-executive-summary.ru-en.md | \\\n research/reputation-technologies/2026-06-20-glossary.ru-en.md | \\\n research/reputation-technologies/2026-06-29-partner-attraction-strategy.ru.md | \\\n research/mango/2026-05-22-classification.md | \\\n research/mango/2026-05-22-classification-tz.md | \\\n research/mango/2026-05-22-requirements-flow.md | \\\n research/external-knowledge/README.md | \\\n research/external-knowledge/external-sources-registry.md | \\\n research/external-knowledge/external-insights/README.md | \\\n research/external-knowledge/external-insights/2026-06-13-building-effective-agents.md | \\\n research/external-knowledge/external-insights/2026-06-13-12-factor-agents.md | \\\n research/external-knowledge/external-insights/2026-06-13-spec-driven-development.md | \\\n research/external-knowledge/external-insights/2026-06-15-agent-local-memory-context.md | \\\n research/external-knowledge/external-insights/2026-06-15-structured-prompt-driven-development.md | \\\n practices/README.md | \\\n practices/agent-work/README.md | \\\n practices/agent-work/hybrid-search-before-action.md | \\\n practices/agent-work/definition-of-ready-check.md | \\\n practices/agent-work/plan-verify-ship-loop.md | \\\n practices/agent-work/skills-as-reusable-workflows.md | \\\n practices/agent-work/skill-catalog-token-budget.md | \\\n practices/ai-governance/README.md | \\\n practices/ai-governance/nist-ai-rmf-profile-loop.md | \\\n practices/ai-governance/eu-ai-act-risk-tiering.md | \\\n practices/ai-governance/iso-42001-management-loop.md | \\\n practices/ai-governance/openai-evaluation-and-feedback-loop.md | \\\n practices/ai-governance/anthropic-capability-thresholds.md | \\\n practices/ai-governance/google-saif-agent-security.md | \\\n frameworks/README.md | \\\n education/README.md | \\\n projects/README.md | \\\n projects/education-ba-prompt/README.md | \\\n projects/education-ba-prompt/docs/course-ideas.md | \\\n projects/repo-development/README.md | \\\n projects/repo-development/docs/migration-audit-2026-05.md | \\\n projects/repo-development/docs/contract-violations-self-report-2026-06.md | \\\n projects/repo-development/docs/mango-ba-prompts-repository-migration-plan-2026-06.md | \\\n docs/rfc/README.md | \\\n docs/rfc/rfc-two-cases-of-project-initialization.md | \\\n docs/rfc/contract-executability-rfc.md | \\\n docs/rfc/repository-quality-improvement-plan.md | \\\n docs/rfc/tech-debt-solutions-proposal-2026-06.md | \\\n docs/rfc/draft-triage-and-exit-plan.md | \\\n docs/rfc/htom-vs-spoke-clarification-2026-06.md | \\\n docs/rfc/hub-vision-concept-proposal-2026-06.md | \\\n docs/rfc/knowledge-lifecycle-proposal.md | \\\n docs/rfc/resolve-artifact-location-proposal.md | \\\n docs/rfc/external-knowledge-integration.md | \\\n docs/rfc/documentation-architecture-balance.md | \\\n docs/rfc/research-memory-source-intelligence.md | \\\n docs/rfc/repository-archetypes-template-release.md | \\\n docs/rfc/product-concept-template-proposal.md | \\\n docs/rfc/solution-concept-template-proposal.md | \\\n docs/rfc/methodology-research-and-proposals.md | \\\n docs/rfc/2026-06-27-rfc-adr-standard.md | \\\n docs/rfc/2026-06-27-rfc-rfc-standard.md | \\\n docs/rfc/2026-06-30-rfc-research-structure.md | \\\n docs/rfc/2026-07-17-rfc-reference-research-pattern.md | \\\n docs/rfc/2026-07-02-rfc-reports-structure.md | \\\n docs/rfc/2026-07-02-rfc-audit-structure.md | \\\n docs/rfc/2026-07-02-rfc-analysis-structure.md | \\\n docs/rfc/2026-08-06-rfc-task-statement-architecture.md | \\\n research/mango/2026-06-18-requirements-engineering-ai-era.md | \\\n research/mango/2026-06-18-ai-classifications-formalization.md | \\\n research/mango/2026-06-19-repository-structure-vision.md | \\\n research/mango/2026-06-19-token-optimization-proposal.md | \\\n docs/vision.md | \\\n docs/product-concept.md | \\\n docs/ecosystem-map.md | \\\n docs/ecosystem-map-Index.md | \\\n docs/project-summaries/README.md | \\\n docs/project-summaries/mango-ba-prompts-context-Summary.md | \\\n docs/project-summaries/open-ai-ru-context-Summary.md | \\\n docs/project-summaries/clarify-engine-ai-context-Summary.md | \\\n docs/audit/2026-06-11-task-execution-audit.md | \\\n docs/audit/2026-06-29-research-artifact-format-contract-audit.md | \\\n docs/audit/2026-07-01-documentation-boundary-audit.md | \\\n docs/audit/2026-07-04-cross-standard-stress-tests.md | \\\n docs/audit/2026-08-01-ops-artifact-placement-review.md | \\\n guides/README.md | \\\n guides/quick-start.md | \\\n guides/init-spoke-repo.md | \\\n guides/sync-from-hub.md | \\\n guides/sync-with-projects.md | \\\n guides/interact-with-ai.md | \\\n guides/deploy-project.md | \\\n guides/rollback-sync.md | \\\n guides/contribute-template.md | \\\n guides/troubleshooting.md | \\\n guides/glossary.md | \\\n .github/workflows/update-manifest.yml | \\\n .github/workflows/validate.yml | \\\n .github/ISSUE_TEMPLATE/task.yml | \\\n .github/ISSUE_TEMPLATE/task.md | \\\n templates/htom/AI_GOVERNANCE.md | \\\n templates/htom/AI_QUICK_RULES.md | \\\n templates/htom/AI_SESSION_HANDOVER_PROMPT.md | \\\n templates/htom/README.md | \\\n templates/htom/CONTRIBUTING.md | \\\n templates/htom/CHANGELOG.md | \\\n templates/htom/docs/adr/.gitkeep | \\\n templates/htom/docs/audit/.gitkeep | \\\n docs/analysis/2026-06-30-backlog-and-artifact-change-policy-analysis.md | \\\n docs/analysis/2026-07-01-reports-artifacts-inventory.md | \\\n docs/analysis/2026-07-02-analysis-artifacts-inventory.md | \\\n docs/analysis/2026-07-02-audit-artifacts-deep-analysis.md | \\\n docs/analysis/2026-07-04-hub-migration-and-root-structure-plan.md | \\\n docs/analysis/2026-07-04-kb-runs-hub-applicability-analysis.md | \\\n docs/analysis/2026-07-10-r-a-a-report-structural-desync-options.md | \\\n docs/analysis/2026-07-17-mango-artifacts-migration-plan.md | \\\n docs/analysis/2026-08-11-sequential-task-contract-ambiguity-analysis.md | \\\n templates/htom/.github/ISSUE_TEMPLATE/task.md | \\\n templates/htom/.github/ISSUE_TEMPLATE/task-creative.md | \\\n templates/htom/tools/validate-repository-structure.sh | \\\n templates/htom/init.sh | \\\n templates/spoke/README.md | \\\n templates/spoke/CONTRIBUTING.md | \\\n templates/spoke/docs/README.md | \\\n templates/spoke/.github/workflows/ci.yml | \\\n templates/spoke/tools/validate-file-naming.sh | \\\n templates/webportal-product-concept-template.md | \\\n templates/webportal-solution-concept-template.md | \\\n templates/sync-project-with-hub-prompt.md | \\\n templates/manifest.json | \\\n templates/sync-metadata.json | \\\n tools/generate-manifest.py | \\\n tools/sync-from-hub.sh | \\\n tools/test-frontmatter-validator.sh | \\\n tools/test-evidence-structure-validator.sh | \\\n tools/test-reference-research-terminology.sh | \\\n tools/test-mango-kb-migration-contract.sh | \\\n tools/test-smart-sync.sh | \\\n tools/test-post-migration-validator.sh | \\\n tools/test-sprint-5-agent-model.sh | \\\n tools/test-agent-onboarding-authorization.sh | \\\n tools/test-operating-mode-contract.sh | \\\n tools/test-check-agent-work-rules-size.sh | \\\n tools/check-agent-work-rules-size.sh | \\\n tools/test-nonempty-diff.sh | \\\n tools/validate-nonempty-diff.sh | \\\n tools/validate-frontmatter.sh | \\\n tools/validate-evidence-structure.sh | \\\n tools/validate-file-naming.sh | \\\n tools/validate-repository-structure.sh)\n return 0\n ;;\n *)\n return 1\n ;;\n esac\n}\n\nis_old_file() {\n local name=\"${1##*/}\"\n [[ \"$name\" == *-old || \"$name\" == *-old.* ]]\n}\n\nvalidate_kebab_case_file_naming() {\n local dir=\"$1\"\n local file\n local basename\n\n while IFS= read -r file; do\n basename=\"${file##*/}\"\n\n case \"$basename\" in\n README.md | LICENSE | CHANGELOG.md)\n continue\n ;;\n esac\n\n if [[ ! \"$basename\" =~ ^[a-z0-9]+(-[a-z0-9]+)*\\.md$ ]]; then\n fail \"$dir file must use kebab-case: $file\"\n fi\n done < <(find \"$dir\" -maxdepth 1 -type f)\n}\n\nvalidate_metadata_single_source() {\n local file\n\n while IFS= read -r file; do\n if awk '\n NR == 1 {\n if ($0 != \"---\") {\n exit 1\n }\n next\n }\n\n !frontmatter_done {\n if ($0 == \"---\") {\n frontmatter_done = 1\n next\n }\n if ($0 ~ /^(status|version|updated|temperature):[[:space:]]*/) {\n has_metadata = 1\n }\n next\n }\n\n frontmatter_done {\n if (!has_metadata) {\n exit 1\n }\n body_lines += 1\n if (body_lines > 20) {\n exit 1\n }\n if ($0 ~ /^[[:space:]]*(Версия|Дата|Статус|Version|Date|Status):/) {\n found_duplicate = 1\n exit 0\n }\n }\n\n END {\n if (found_duplicate) {\n exit 0\n }\n exit 1\n }\n ' \"$file\"; then\n fail \"Metadata duplicated in body of $file. Keep it only in frontmatter.\"\n fi\n done < <(find standards pr-ops ai-rules ai-governance projects-sink docs/rfc docs/guides research -type f -name '*.md' | sort)\n}\n\nvalidate_internal_markdown_links() {\n local file\n local link_target\n local target_without_anchor\n local target_path\n local file_dir\n\n while IFS= read -r file; do\n file_dir=\"$(dirname \"$file\")\"\n\n while IFS= read -r link_target; do\n case \"$link_target\" in\n http://* | https://* | mailto:* | tel:* | ftp://* | \"#\"* )\n continue\n ;;\n esac\n\n if [[ \"$link_target\" == *\"{{\"* || \"$link_target\" == *\"}}\"* ]]; then\n continue\n fi\n\n target_without_anchor=\"${link_target%%#*}\"\n target_without_anchor=\"${target_without_anchor%%\\?*}\"\n\n if [[ -z \"$target_without_anchor\" || \"$target_without_anchor\" != *.md ]]; then\n continue\n fi\n\n if [[ \"$target_without_anchor\" == /* ]]; then\n target_path=\".${target_without_anchor}\"\n else\n target_path=\"$file_dir/$target_without_anchor\"", | |
| [2026-08-11T19:24:51.641Z] [INFO] "stderr": "", | |
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| [2026-08-11T19:24:51.641Z] [INFO] "noOutputExpected": false | |
| [2026-08-11T19:24:51.641Z] [INFO] } | |
| [2026-08-11T19:24:51.641Z] [INFO] } | |
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| [2026-08-11T19:24:51.679Z] [STDOUT] model: "claude-opus-5", | |
| [2026-08-11T19:24:51.681Z] [STDOUT] messages: [ | |
| [2026-08-11T19:24:51.684Z] [STDOUT] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...] | |
| [2026-08-11T19:24:51.687Z] [STDOUT] ], | |
| [2026-08-11T19:24:51.690Z] [STDOUT] system: [ | |
| [2026-08-11T19:24:51.692Z] [STDOUT] [Object ...], [Object ...], [Object ...], [Object ...] | |
| [2026-08-11T19:24:51.695Z] [STDOUT] ], | |
| [2026-08-11T19:24:51.699Z] [STDOUT] tools: [ | |
| [2026-08-11T19:24:51.702Z] [STDOUT] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...] | |
| [2026-08-11T19:24:51.704Z] [STDOUT] ], | |
| [2026-08-11T19:24:51.706Z] [STDOUT] tool_choice: undefined, | |
| [2026-08-11T19:24:51.712Z] [STDOUT] metadata: [Object ...], | |
| [2026-08-11T19:24:51.714Z] [STDOUT] max_tokens: 128000, | |
| [2026-08-11T19:24:51.721Z] [STDOUT] thinking: [Object ...], | |
| [2026-08-11T19:24:51.724Z] [STDOUT] context_management: [Object ...], | |
| [2026-08-11T19:24:51.725Z] [STDOUT] output_config: [Object ...], | |
| [2026-08-11T19:24:51.732Z] [STDOUT] diagnostics: [Object ...], | |
| [2026-08-11T19:24:51.748Z] [STDOUT] stream: true, | |
| [2026-08-11T19:24:51.757Z] [STDOUT] }, | |
| [2026-08-11T19:24:51.764Z] [STDOUT] timeout: 600000, | |
| [2026-08-11T19:24:51.773Z] [STDOUT] signal: AbortSignal { | |
| [2026-08-11T19:24:51.777Z] [STDOUT] [Symbol(events.maxEventTargetListeners)]: 50, | |
| [2026-08-11T19:24:51.782Z] [STDOUT] [Symbol(events.maxEventTargetListenersWarned)]: false, | |
| [2026-08-11T19:24:51.786Z] [STDOUT] aborted: false, | |
| [2026-08-11T19:24:51.792Z] [STDOUT] reason: undefined, | |
| [2026-08-11T19:24:51.799Z] [STDOUT] onabort: null, | |
| [2026-08-11T19:24:51.808Z] [STDOUT] throwIfAborted: [Function: throwIfAborted], | |
| [2026-08-11T19:24:51.813Z] [STDOUT] addEventListener: [Function: addEventListener], | |
| [2026-08-11T19:24:51.822Z] [STDOUT] removeEventListener: [Function: removeEventListener], | |
| [2026-08-11T19:24:51.831Z] [STDOUT] dispatchEvent: [Function: dispatchEvent], | |
| [2026-08-11T19:24:51.838Z] [STDOUT] }, | |
| [2026-08-11T19:24:51.852Z] [STDOUT] stream: true, | |
| [2026-08-11T19:24:51.857Z] [STDOUT] }, | |
| [2026-08-11T19:24:51.861Z] [STDOUT] headers: { | |
| [2026-08-11T19:24:51.864Z] [STDOUT] accept: "application/json", | |
| [2026-08-11T19:24:51.867Z] [STDOUT] "anthropic-beta": "claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,thinking-token-count-2026-05-13,context-management-2025-06-27,prompt-caching-scope-2026-01-05,mid-conversation-system-2026-04-07,advisor-tool-2026-03-01,advanced-tool-use-2025-11-20,effort-2025-11-24,fallback-credit-2026-06-01,extended-cache-ttl-2025-04-11,cache-diagnosis-2026-04-07", | |
| [2026-08-11T19:24:51.870Z] [STDOUT] "anthropic-dangerous-direct-browser-access": "true", | |
| [2026-08-11T19:24:51.873Z] [STDOUT] "anthropic-version": "2023-06-01", | |
| [2026-08-11T19:24:51.880Z] [STDOUT] authorization: "[REDACTED]", | |
| [2026-08-11T19:24:51.886Z] [STDOUT] "content-type": "application/json", | |
| [2026-08-11T19:24:51.889Z] [STDOUT] "user-agent": "claude-cli/2.1.222 (external, sdk-cli)", | |
| [2026-08-11T19:24:51.891Z] [STDOUT] "x-app": "cli", | |
| [2026-08-11T19:24:51.894Z] [STDOUT] "x-claude-code-session-id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:24:51.900Z] [STDOUT] "x-client-request-id": "fc37b8bf-d6ee-49fa-b22d-223761b89794", | |
| [2026-08-11T19:24:51.904Z] [STDOUT] "x-stainless-arch": "x64", | |
| [2026-08-11T19:24:51.909Z] [STDOUT] "x-stainless-lang": "js", | |
| [2026-08-11T19:24:51.914Z] [STDOUT] "x-stainless-os": "Linux", | |
| [2026-08-11T19:24:51.918Z] [STDOUT] "x-stainless-package-version": "0.94.0", | |
| [2026-08-11T19:24:51.922Z] [STDOUT] "x-stainless-retry-count": "0", | |
| [2026-08-11T19:24:51.929Z] [STDOUT] "x-stainless-runtime": "node", | |
| [2026-08-11T19:24:51.940Z] [STDOUT] "x-stainless-runtime-version": "v26.3.0", | |
| [2026-08-11T19:24:51.950Z] [STDOUT] "x-stainless-timeout": "600", | |
| [2026-08-11T19:24:51.957Z] [STDOUT] }, | |
| [2026-08-11T19:24:51.960Z] [STDOUT] } | |
| [2026-08-11T19:24:55.280Z] [STDOUT] [log_ed5a5c, request-id: "req_011CdwWTT2fAvQuxezhrvmjf"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 3622ms | |
| [2026-08-11T19:24:55.282Z] [STDOUT] [log_ed5a5c] response start { | |
| [2026-08-11T19:24:55.286Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:24:55.289Z] [STDOUT] status: 200, | |
| [2026-08-11T19:24:55.293Z] [STDOUT] headers: { | |
| [2026-08-11T19:24:55.296Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:24:55.299Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:24:55.302Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:24:55.305Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:24:55.308Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:24:55.311Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:24:55.313Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.03", | |
| [2026-08-11T19:24:55.316Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:24:55.318Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:24:55.323Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:24:55.328Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:24:55.331Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:24:55.334Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:24:55.337Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:24:55.343Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:24:55.349Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:24:55.360Z] [STDOUT] "cf-ray": "a2999f76ecba65d6-FRA", | |
| [2026-08-11T19:24:55.363Z] [STDOUT] connection: "keep-alive", | |
| [2026-08-11T19:24:55.367Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:24:55.370Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:24:55.375Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:24:55.377Z] [STDOUT] date: "Tue, 11 Aug 2026 19:24:55 GMT", | |
| [2026-08-11T19:24:55.381Z] [STDOUT] "request-id": "req_011CdwWTT2fAvQuxezhrvmjf", | |
| [2026-08-11T19:24:55.384Z] [STDOUT] server: "cloudflare", | |
| [2026-08-11T19:24:55.387Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:24:55.391Z] [STDOUT] traceresponse: "00-c1ba47cc061411705fb2e448ec919751-70d6c04753bbe390-01", | |
| [2026-08-11T19:24:55.392Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:24:55.395Z] [STDOUT] vary: "Accept-Encoding", | |
| [2026-08-11T19:24:55.399Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:24:55.403Z] [STDOUT] }, | |
| [2026-08-11T19:24:55.405Z] [STDOUT] durationMs: 3622, | |
| [2026-08-11T19:24:55.409Z] [STDOUT] } | |
| [2026-08-11T19:24:55.412Z] [STDOUT] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-08-11T19:24:55.415Z] [STDOUT] "date": "Tue, 11 Aug 2026 19:24:55 GMT", | |
| [2026-08-11T19:24:55.418Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:24:55.421Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:24:55.424Z] [STDOUT] "connection": "keep-alive", | |
| [2026-08-11T19:24:55.429Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:24:55.433Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:24:55.436Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:24:55.438Z] [STDOUT] "vary": "Accept-Encoding", | |
| [2026-08-11T19:24:55.440Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:24:55.441Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:24:55.442Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:24:55.443Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:24:55.445Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:24:55.447Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:24:55.449Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:24:55.454Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.03", | |
| [2026-08-11T19:24:55.458Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:24:55.461Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:24:55.464Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:24:55.466Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:24:55.467Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:24:55.469Z] [STDOUT] "request-id": "req_011CdwWTT2fAvQuxezhrvmjf", | |
| [2026-08-11T19:24:55.473Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:24:55.475Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:24:55.477Z] [STDOUT] "traceresponse": "00-c1ba47cc061411705fb2e448ec919751-70d6c04753bbe390-01", | |
| [2026-08-11T19:24:55.480Z] [STDOUT] "server": "cloudflare", | |
| [2026-08-11T19:24:55.481Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:24:55.484Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:24:55.487Z] [STDOUT] "cf-ray": "a2999f76ecba65d6-FRA", | |
| [2026-08-11T19:24:55.488Z] [STDOUT] } ReadableStream { locked: false, state: 'readable', supportsBYOB: false } | |
| [2026-08-11T19:24:55.489Z] [STDOUT] [log_ed5a5c] response parsed { | |
| [2026-08-11T19:24:55.491Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:24:55.493Z] [STDOUT] status: 200, | |
| [2026-08-11T19:24:55.496Z] [STDOUT] body: ste { | |
| [2026-08-11T19:24:55.498Z] [STDOUT] iterator: [AsyncGeneratorFunction: i], | |
| [2026-08-11T19:24:55.499Z] [STDOUT] controller: AbortController { | |
| [2026-08-11T19:24:55.502Z] [STDOUT] signal: [AbortSignal ...], | |
| [2026-08-11T19:24:55.506Z] [STDOUT] abort: [Function: abort], | |
| [2026-08-11T19:24:55.510Z] [STDOUT] }, | |
| [2026-08-11T19:24:55.512Z] [STDOUT] [Symbol(Symbol.asyncIterator)]: [Function], | |
| [2026-08-11T19:24:55.515Z] [STDOUT] tee: [Function: tee], | |
| [2026-08-11T19:24:55.517Z] [STDOUT] toReadableStream: [Function: toReadableStream], | |
| [2026-08-11T19:24:55.520Z] [STDOUT] }, | |
| [2026-08-11T19:24:55.527Z] [STDOUT] durationMs: 3624, | |
| [2026-08-11T19:24:55.531Z] [STDOUT] } | |
| [2026-08-11T19:24:56.168Z] [INFO] { | |
| [2026-08-11T19:24:56.168Z] [INFO] "type": "system", | |
| [2026-08-11T19:24:56.168Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:24:56.168Z] [INFO] "estimated_tokens": 50, | |
| [2026-08-11T19:24:56.168Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:24:56.168Z] [INFO] "uuid": "063f1344-e984-433c-afa2-6e834374d716", | |
| [2026-08-11T19:24:56.168Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:24:56.168Z] [INFO] } | |
| [2026-08-11T19:24:56.891Z] [INFO] { | |
| [2026-08-11T19:24:56.891Z] [INFO] "type": "system", | |
| [2026-08-11T19:24:56.891Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:24:56.891Z] [INFO] "estimated_tokens": 127, | |
| [2026-08-11T19:24:56.891Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:24:56.891Z] [INFO] "uuid": "30df24d9-17ab-4ca7-808d-844b0059fce9", | |
| [2026-08-11T19:24:56.891Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:24:56.891Z] [INFO] } | |
| [2026-08-11T19:24:56.917Z] [INFO] { | |
| [2026-08-11T19:24:56.917Z] [INFO] "type": "assistant", | |
| [2026-08-11T19:24:56.917Z] [INFO] "message": { | |
| [2026-08-11T19:24:56.917Z] [INFO] "model": "claude-opus-5", | |
| [2026-08-11T19:24:56.917Z] [INFO] "id": "msg_011CdwWTU7Q1cpipArYc56X8", | |
| [2026-08-11T19:24:56.917Z] [INFO] "type": "message", | |
| [2026-08-11T19:24:56.917Z] [INFO] "role": "assistant", | |
| [2026-08-11T19:24:56.917Z] [INFO] "content": [ | |
| [2026-08-11T19:24:56.917Z] [INFO] { | |
| [2026-08-11T19:24:56.917Z] [INFO] "type": "thinking", | |
| [2026-08-11T19:24:56.917Z] [INFO] "thinking": "", | |
| [2026-08-11T19:24:56.917Z] [INFO] "signature": "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" | |
| [2026-08-11T19:24:56.917Z] [INFO] } | |
| [2026-08-11T19:24:56.917Z] [INFO] ], | |
| [2026-08-11T19:24:56.917Z] [INFO] "stop_reason": null, | |
| [2026-08-11T19:24:56.917Z] [INFO] "stop_sequence": null, | |
| [2026-08-11T19:24:56.917Z] [INFO] "stop_details": null, | |
| [2026-08-11T19:24:56.917Z] [INFO] "usage": { | |
| [2026-08-11T19:24:56.917Z] [INFO] "input_tokens": 2, | |
| [2026-08-11T19:24:56.917Z] [INFO] "cache_creation_input_tokens": 6565, | |
| [2026-08-11T19:24:56.917Z] [INFO] "cache_read_input_tokens": 72259, | |
| [2026-08-11T19:24:56.917Z] [INFO] "cache_creation": { | |
| [2026-08-11T19:24:56.917Z] [INFO] "ephemeral_5m_input_tokens": 0, | |
| [2026-08-11T19:24:56.917Z] [INFO] "ephemeral_1h_input_tokens": 6565 | |
| [2026-08-11T19:24:56.917Z] [INFO] }, | |
| [2026-08-11T19:24:56.917Z] [INFO] "output_tokens": 3, | |
| [2026-08-11T19:24:56.917Z] [INFO] "service_tier": "standard", | |
| [2026-08-11T19:24:56.917Z] [INFO] "inference_geo": "not_available" | |
| [2026-08-11T19:24:56.917Z] [INFO] }, | |
| [2026-08-11T19:24:56.917Z] [INFO] "diagnostics": null, | |
| [2026-08-11T19:24:56.917Z] [INFO] "context_management": null | |
| [2026-08-11T19:24:56.917Z] [INFO] }, | |
| [2026-08-11T19:24:56.917Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:24:56.917Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:24:56.917Z] [INFO] "uuid": "50efd0a9-ca4d-44af-8ef0-38b6518b34d2", | |
| [2026-08-11T19:24:56.917Z] [INFO] "timestamp": "2026-08-11T19:24:56.886Z", | |
| [2026-08-11T19:24:56.917Z] [INFO] "request_id": "req_011CdwWTT2fAvQuxezhrvmjf" | |
| [2026-08-11T19:24:56.917Z] [INFO] } | |
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| [2026-08-11T19:25:00.690Z] [INFO] "content": "#!/usr/bin/env bash\nset -euo pipefail\n\nROOT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\nRESEARCH_ROOT=\"${RESEARCH_ROOT:-$ROOT_DIR/research}\"\nfailures=0\n\n[[ -d \"$RESEARCH_ROOT\" ]] || {\n printf 'Evidence structure validation passed.\\n'\n exit 0\n}\n\nfail() {\n printf 'ERROR: %s\\n' \"$1\" >&2\n failures=$((failures + 1))\n}\n\nwhile IFS= read -r path; do\n fail \"legacy experiment directory: ${path#\"$ROOT_DIR/\"} (use research/<domain>/exp/<issue-slug>/)\"\ndone < <(find \"$RESEARCH_ROOT\" -type d -name 'exp-*' -print | sort)\n\nwhile IFS= read -r path; do\n fail \"forbidden outputs directory: ${path#\"$ROOT_DIR/\"} (keep evidence flat inside exp/<issue-slug>/)\"\ndone < <(find \"$RESEARCH_ROOT\" -type d -name outputs -print | sort)\n\nwhile IFS= read -r experiment; do\n readme=\"$experiment/README.md\"\n if [[ ! -f \"$readme\" ]]; then\n fail \"experiment must contain README.md: ${experiment#\"$ROOT_DIR/\"}\"\n continue\n fi\n if ! grep -Eq '\\]\\((\\.\\./\\.\\./|\\.\\./\\.\\./\\.\\./\\.\\./docs/(analysis|audit|report)/)[0-9]{4}-[0-9]{2}-[0-9]{2}-[^)#]+\\.md(#[^)]+)?\\)' \"$readme\"; then\n fail \"experiment README must link to a parent dated research report: ${readme#\"$ROOT_DIR/\"}\"\n fi\ndone < <(find \"$RESEARCH_ROOT\" -type d -mindepth 3 -maxdepth 3 -path '*/exp/*' -print | sort)\n\nif (( failures > 0 )); then\n printf 'Evidence structure validation failed with %d error(s).\\n' \"$failures\" >&2\n exit 1\nfi\n\nprintf 'Evidence structure validation passed.\\n'\n=====ANALYSIS STD\n---\nstatus: draft\nversion: 0.2\nupdated: 2026-07-17\ntemperature: 0.1\nowner: G-Ivan-A\nexecutable: false\nscope: repo-wide\nrelated_standards:\n - \"standard-meta-structure.md\"\n - \"frontmatter-docs-standard.md\"\n - \"file-naming.md\"\n - \"research-standard.md\"\n - \"report-standard.md\"\n - \"audit-standard.md\"\n - \"adr-structure-standard.md\"\n - \"rfc-structure-standard.md\"\nrelated_issues:\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/366\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/296\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/288\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/451\"\n---\n\n# Analysis Standard\n\n## Purpose\n\nЭтот стандарт задаёт обязательную структуру Analysis-артефактов Хаба: базовый\nкаркас Analysis (назначение, frontmatter, naming, lifecycle, минимальное ядро\nсекций), опциональные лёгкие профили подтипов (`inventory`, `matrix`, `options`,\n`recommendation`), routing `docs/analysis/` и границы Analysis ↔ Research ↔ Audit\n↔ Report ↔ RFC ↔ ADR. Источник принятого решения:\n[ADR-006](../docs/adr/2026-07-adr-006-analysis-structure.md); rationale,\nальтернативы (A/B/C/D) и trade-offs:\n[RFC B-025](../docs/rfc/2026-07-02-rfc-analysis-structure.md).\n\nСтандарт — это IL-3 reusable rule о форме Analysis как **interpretation layer**:\nинтерпретации локального/внутреннего контекста, его размещении и\nrelation-метаданных. Он не является Contract: операционные контракты могут\nссылаться на этот стандарт как на обязательное правило оформления, но не\nподменяют его семантику. Он фиксирует только то, что ОБЯЗАТЕЛЬНО применять\nповторяемо. Proposal-контекст, рассмотренные альтернативы, отклонённые варианты\nи trade-offs остаются в RFC B-025 и ЗАПРЕЩЕНО дублировать их здесь. Инвентаризация\n186 кандидатов (19 фактических Analysis) остаётся в\n[Analysis inventory (B-024)](../docs/analysis/2026-07-02-analysis-artifacts-inventory.md),\nа decision rationale — в ADR-006; стандарт цитирует их, а не переписывает.\n\nБазовые frontmatter-правила наследуются из\n[Frontmatter Docs Standard](frontmatter-docs-standard.md), а имена файлов — из\n[File Naming](file-naming.md). Каноническое определение Analysis\n(«исследование локального или внутреннего контекста без генерации нового\nвнешнего знания») живёт в [glossary](glossary.md) (B-020) и не переписывается\nздесь. Модель Analysis реализует **Вариант C** ADR-006: один базовый стандарт\nAnalysis + опциональные профили подтипов, «A сейчас, B потом» с явным триггером\nвыделения профиля (см. [Type Model](#type-model) и\n[Anti-Inflation Trigger](#anti-inflation-trigger-триггер-b)).\n\n## Scope\n\nСтандарт применяется к работе, которая **интерпретирует локальный или внутренний\nконтекст** — разбирает текущие артефакты, данные, backlog, PR-гипотезы, границы\nили опции и объясняет, «что это значит / какие варианты следуют», без генерации\nнового внешнего знания (это Research) и без проверки на норму с вердиктом (это\nAudit). Analysis — это **стойка/функция** (interpretive/causal), а не имя\nкаталога: тип определяется доминирующей стойкой и содержательной ролью, а не\nпутём `docs/analysis/` и не именем файла (content-over-path, issue #288).\n\n| Архетип | Analysis role |\n| --- | --- |\n| A. Governance & Knowledge Hub | Analysis-контур Хаба: `docs/analysis/`. Этот стандарт нормативен для архетипа A. |\n| B. Prompt & Pattern Library | Использует базовый Analysis + профили для разбора prompt/pattern корпуса (inventory/matrix/options) с relation-метаданными к исходным экспериментам. |\n| C. Product Spoke / Runtime | Применяет `analysis-subtype` и границу Analysis ↔ Audit к архитектурному / repo-state разбору продукта; ссылается на runtime evidence, а не поглощает его. |\n| D. Education / Learning Package | Использует recommendation / options профили для разбора учебного корпуса и curriculum-опций. |\n\nRouting-следствия для B/C/D закрепляются downstream (см. матрицу дельт RFC B-025)\nи не расширяют этот стандарт: без project-level ADR/standard `docs/analysis/` не\nнавязывается spoke-репозиториям.\n\n## Identification and Placement\n\nТип артефакта ОПРЕДЕЛЯЕТСЯ его содержательной ролью и доминирующей стойкой, а\n**не именем каталога** (content-over-path, issue #288). Research, Audit, Report\nили RFC, спрятанные в `docs/analysis/`, сохраняют фактический тип и\nмаршрутизируются по нему; фактический Analysis под `research/` остаётся Analysis.\n\n| Элемент | Правило |\n| --- | --- |\n| Canonical path | `docs/analysis/YYYY-MM-DD-name.md` — канонический дом Analysis-артефактов. Routing уже нормативно задан в [`research-standard.md`](research-standard.md) §«Маршрутизация Research / Analysis / Audit»; этот стандарт его **подтверждает и переиспользует**, а не вводит заново (ADR-006). |\n| Filename | `YYYY-MM-DD-name.md`, где `YYYY-MM-DD` — дата создания Analysis, `name` — короткий `kebab-case` слаг на латинице (см. [file-naming.md](file-naming.md)). |\n| Evidence | Analysis ССЫЛАЕТСЯ и ЦИТИРУЕТ доказательную базу (evidence links: локальные факты, Research/Audit/Report outputs, данные репозитория, `exp/`), а не переписывает её (delegation, не duplication). |\n\n**Legacy Analysis в `research/`.** B-024 §2.2 нашёл 6 фактических Analysis под\nHub `research/`. Это **modernization candidates** для B-028, а не немедленные\nнарушения: «actual Analysis outside path» получает метаданные in place или\nперенос после стандарта и плана миграции.\n\n**Output surface vs самостоятельный Analysis.** Терминальная секция или\ninline-render внутри Research/Audit/Report без своего lifecycle — это output\nsurface, не Analysis. Самостоятельный Analysis имеет собственный frontmatter,\nимя и статус.\n\nЭтот стандарт **не создаёт директории и не мигрирует файлы**: физическая\nмодернизация метаданных, устранение дублей/замаскированных артефактов и миграция\nlegacy Analysis из-под `research/` — задача B-028 (координация с планом миграции\nрепо B-034).\n\n## Frontmatter\n\nAnalysis ДОЛЖЕН использовать necessary and sufficient frontmatter класса\nResearch / report из [Frontmatter Docs Standard](frontmatter-docs-standard.md)\nплюс relation-метаданные:\n\n```yaml\n---\nstatus: draft # knowledge: draft | reviewed | canonical | superseded\nversion: 0.1\nupdated: YYYY-MM-DD\ntemperature: 0.1\nanalysis-subtype: inventory # inventory | matrix | options | recommendation (опц.)\nsource: <родительский issue/run или исходный контекст>\nscope: <охват: repo | project | ecosystem | slice>\nbased_on: <артефакты/данные, на которых строится интерпретация или \"—\">\nrelated_artifacts:\n - <ссылки на evidence, parent work, смежные Analysis/Research/Audit/Report>\n---\n```\n\nПравила:\n\n- Обязательное frontmatter-ядро (`status`, `version`, `updated`, `temperature`)\n наследуется из Research / report-профиля\n [`frontmatter-docs-standard.md`](frontmatter-docs-standard.md).\n- `status` ДОЛЖЕН использовать **knowledge**-vocabulary:\n `draft`, `reviewed`, `canonical`, `superseded`. Governance-словарь\n (`proposed`, `accepted`) ЗАПРЕЩЁН для Analysis-артефактов.\n- `source` и `scope` — relation-метаданные, ОБЯЗАТЕЛЬНЫ: они фиксируют привязку\n интерпретации к её входам и охват разбора (B-024 §6.2).\n- `based_on` и `related_artifacts` — опциональны, но РЕКОМЕНДОВАНЫ, когда\n Analysis опирается на Research/Audit/Report outputs или смежные артефакты.\n- `analysis-subtype` — из фиксированного словаря\n `inventory | matrix | options | recommendation`. **Опционален** в базе; его\n обязательность для конкретных форм не расширяется этим стандартом (ADR-006:\n subtype опционален в базе). Добавляется, когда явно объявляет форму профиля.\n- `supersedes` НЕ входит в обязательное ядро; добавляется только при\n подтверждённой замене (B-024 §6) как backlink на заменяющий Analysis.\n- `ai-generated` во frontmatter **ЗАПРЕЩЁН**. Provenance фиксируется в issue, PR,\n changelog или session record.\n\nRelation-словарь **согласован** с Reports standard (B-043:\n`based_on`/`source`/`scope`/`supersedes`/`related_artifacts`) и Audit standard\n(B-032), чтобы cross-artifact метаданные читались единообразно.\n\n> **Разграничение словарей (lifecycle vs frontmatter).** Правила этой секции\n> нормируют frontmatter **Analysis-артефактов** (объект стандарта, путь\n> `docs/analysis/`) — они принадлежат классу Knowledge и используют\n> **knowledge-vocabulary**. Сам этот документ — governance-артефакт класса\n> `standards/`, поэтому его собственный `status` использует\n> **governance-vocabulary** (см. [Lifecycle](#lifecycle)). Это не противоречие:\n> `standards/*.md` и `docs/analysis/*.md` — разные document classes с разными", | |
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| [2026-08-11T19:25:00.690Z] [INFO] "stdout": "#!/usr/bin/env bash\nset -euo pipefail\n\nROOT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\nRESEARCH_ROOT=\"${RESEARCH_ROOT:-$ROOT_DIR/research}\"\nfailures=0\n\n[[ -d \"$RESEARCH_ROOT\" ]] || {\n printf 'Evidence structure validation passed.\\n'\n exit 0\n}\n\nfail() {\n printf 'ERROR: %s\\n' \"$1\" >&2\n failures=$((failures + 1))\n}\n\nwhile IFS= read -r path; do\n fail \"legacy experiment directory: ${path#\"$ROOT_DIR/\"} (use research/<domain>/exp/<issue-slug>/)\"\ndone < <(find \"$RESEARCH_ROOT\" -type d -name 'exp-*' -print | sort)\n\nwhile IFS= read -r path; do\n fail \"forbidden outputs directory: ${path#\"$ROOT_DIR/\"} (keep evidence flat inside exp/<issue-slug>/)\"\ndone < <(find \"$RESEARCH_ROOT\" -type d -name outputs -print | sort)\n\nwhile IFS= read -r experiment; do\n readme=\"$experiment/README.md\"\n if [[ ! -f \"$readme\" ]]; then\n fail \"experiment must contain README.md: ${experiment#\"$ROOT_DIR/\"}\"\n continue\n fi\n if ! grep -Eq '\\]\\((\\.\\./\\.\\./|\\.\\./\\.\\./\\.\\./\\.\\./docs/(analysis|audit|report)/)[0-9]{4}-[0-9]{2}-[0-9]{2}-[^)#]+\\.md(#[^)]+)?\\)' \"$readme\"; then\n fail \"experiment README must link to a parent dated research report: ${readme#\"$ROOT_DIR/\"}\"\n fi\ndone < <(find \"$RESEARCH_ROOT\" -type d -mindepth 3 -maxdepth 3 -path '*/exp/*' -print | sort)\n\nif (( failures > 0 )); then\n printf 'Evidence structure validation failed with %d error(s).\\n' \"$failures\" >&2\n exit 1\nfi\n\nprintf 'Evidence structure validation passed.\\n'\n=====ANALYSIS STD\n---\nstatus: draft\nversion: 0.2\nupdated: 2026-07-17\ntemperature: 0.1\nowner: G-Ivan-A\nexecutable: false\nscope: repo-wide\nrelated_standards:\n - \"standard-meta-structure.md\"\n - \"frontmatter-docs-standard.md\"\n - \"file-naming.md\"\n - \"research-standard.md\"\n - \"report-standard.md\"\n - \"audit-standard.md\"\n - \"adr-structure-standard.md\"\n - \"rfc-structure-standard.md\"\nrelated_issues:\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/366\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/296\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/288\"\n - \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/451\"\n---\n\n# Analysis Standard\n\n## Purpose\n\nЭтот стандарт задаёт обязательную структуру Analysis-артефактов Хаба: базовый\nкаркас Analysis (назначение, frontmatter, naming, lifecycle, минимальное ядро\nсекций), опциональные лёгкие профили подтипов (`inventory`, `matrix`, `options`,\n`recommendation`), routing `docs/analysis/` и границы Analysis ↔ Research ↔ Audit\n↔ Report ↔ RFC ↔ ADR. Источник принятого решения:\n[ADR-006](../docs/adr/2026-07-adr-006-analysis-structure.md); rationale,\nальтернативы (A/B/C/D) и trade-offs:\n[RFC B-025](../docs/rfc/2026-07-02-rfc-analysis-structure.md).\n\nСтандарт — это IL-3 reusable rule о форме Analysis как **interpretation layer**:\nинтерпретации локального/внутреннего контекста, его размещении и\nrelation-метаданных. Он не является Contract: операционные контракты могут\nссылаться на этот стандарт как на обязательное правило оформления, но не\nподменяют его семантику. Он фиксирует только то, что ОБЯЗАТЕЛЬНО применять\nповторяемо. Proposal-контекст, рассмотренные альтернативы, отклонённые варианты\nи trade-offs остаются в RFC B-025 и ЗАПРЕЩЕНО дублировать их здесь. Инвентаризация\n186 кандидатов (19 фактических Analysis) остаётся в\n[Analysis inventory (B-024)](../docs/analysis/2026-07-02-analysis-artifacts-inventory.md),\nа decision rationale — в ADR-006; стандарт цитирует их, а не переписывает.\n\nБазовые frontmatter-правила наследуются из\n[Frontmatter Docs Standard](frontmatter-docs-standard.md), а имена файлов — из\n[File Naming](file-naming.md). Каноническое определение Analysis\n(«исследование локального или внутреннего контекста без генерации нового\nвнешнего знания») живёт в [glossary](glossary.md) (B-020) и не переписывается\nздесь. Модель Analysis реализует **Вариант C** ADR-006: один базовый стандарт\nAnalysis + опциональные профили подтипов, «A сейчас, B потом» с явным триггером\nвыделения профиля (см. [Type Model](#type-model) и\n[Anti-Inflation Trigger](#anti-inflation-trigger-триггер-b)).\n\n## Scope\n\nСтандарт применяется к работе, которая **интерпретирует локальный или внутренний\nконтекст** — разбирает текущие артефакты, данные, backlog, PR-гипотезы, границы\nили опции и объясняет, «что это значит / какие варианты следуют», без генерации\nнового внешнего знания (это Research) и без проверки на норму с вердиктом (это\nAudit). Analysis — это **стойка/функция** (interpretive/causal), а не имя\nкаталога: тип определяется доминирующей стойкой и содержательной ролью, а не\nпутём `docs/analysis/` и не именем файла (content-over-path, issue #288).\n\n| Архетип | Analysis role |\n| --- | --- |\n| A. Governance & Knowledge Hub | Analysis-контур Хаба: `docs/analysis/`. Этот стандарт нормативен для архетипа A. |\n| B. Prompt & Pattern Library | Использует базовый Analysis + профили для разбора prompt/pattern корпуса (inventory/matrix/options) с relation-метаданными к исходным экспериментам. |\n| C. Product Spoke / Runtime | Применяет `analysis-subtype` и границу Analysis ↔ Audit к архитектурному / repo-state разбору продукта; ссылается на runtime evidence, а не поглощает его. |\n| D. Education / Learning Package | Использует recommendation / options профили для разбора учебного корпуса и curriculum-опций. |\n\nRouting-следствия для B/C/D закрепляются downstream (см. матрицу дельт RFC B-025)\nи не расширяют этот стандарт: без project-level ADR/standard `docs/analysis/` не\nнавязывается spoke-репозиториям.\n\n## Identification and Placement\n\nТип артефакта ОПРЕДЕЛЯЕТСЯ его содержательной ролью и доминирующей стойкой, а\n**не именем каталога** (content-over-path, issue #288). Research, Audit, Report\nили RFC, спрятанные в `docs/analysis/`, сохраняют фактический тип и\nмаршрутизируются по нему; фактический Analysis под `research/` остаётся Analysis.\n\n| Элемент | Правило |\n| --- | --- |\n| Canonical path | `docs/analysis/YYYY-MM-DD-name.md` — канонический дом Analysis-артефактов. Routing уже нормативно задан в [`research-standard.md`](research-standard.md) §«Маршрутизация Research / Analysis / Audit»; этот стандарт его **подтверждает и переиспользует**, а не вводит заново (ADR-006). |\n| Filename | `YYYY-MM-DD-name.md`, где `YYYY-MM-DD` — дата создания Analysis, `name` — короткий `kebab-case` слаг на латинице (см. [file-naming.md](file-naming.md)). |\n| Evidence | Analysis ССЫЛАЕТСЯ и ЦИТИРУЕТ доказательную базу (evidence links: локальные факты, Research/Audit/Report outputs, данные репозитория, `exp/`), а не переписывает её (delegation, не duplication). |\n\n**Legacy Analysis в `research/`.** B-024 §2.2 нашёл 6 фактических Analysis под\nHub `research/`. Это **modernization candidates** для B-028, а не немедленные\nнарушения: «actual Analysis outside path» получает метаданные in place или\nперенос после стандарта и плана миграции.\n\n**Output surface vs самостоятельный Analysis.** Терминальная секция или\ninline-render внутри Research/Audit/Report без своего lifecycle — это output\nsurface, не Analysis. Самостоятельный Analysis имеет собственный frontmatter,\nимя и статус.\n\nЭтот стандарт **не создаёт директории и не мигрирует файлы**: физическая\nмодернизация метаданных, устранение дублей/замаскированных артефактов и миграция\nlegacy Analysis из-под `research/` — задача B-028 (координация с планом миграции\nрепо B-034).\n\n## Frontmatter\n\nAnalysis ДОЛЖЕН использовать necessary and sufficient frontmatter класса\nResearch / report из [Frontmatter Docs Standard](frontmatter-docs-standard.md)\nплюс relation-метаданные:\n\n```yaml\n---\nstatus: draft # knowledge: draft | reviewed | canonical | superseded\nversion: 0.1\nupdated: YYYY-MM-DD\ntemperature: 0.1\nanalysis-subtype: inventory # inventory | matrix | options | recommendation (опц.)\nsource: <родительский issue/run или исходный контекст>\nscope: <охват: repo | project | ecosystem | slice>\nbased_on: <артефакты/данные, на которых строится интерпретация или \"—\">\nrelated_artifacts:\n - <ссылки на evidence, parent work, смежные Analysis/Research/Audit/Report>\n---\n```\n\nПравила:\n\n- Обязательное frontmatter-ядро (`status`, `version`, `updated`, `temperature`)\n наследуется из Research / report-профиля\n [`frontmatter-docs-standard.md`](frontmatter-docs-standard.md).\n- `status` ДОЛЖЕН использовать **knowledge**-vocabulary:\n `draft`, `reviewed`, `canonical`, `superseded`. Governance-словарь\n (`proposed`, `accepted`) ЗАПРЕЩЁН для Analysis-артефактов.\n- `source` и `scope` — relation-метаданные, ОБЯЗАТЕЛЬНЫ: они фиксируют привязку\n интерпретации к её входам и охват разбора (B-024 §6.2).\n- `based_on` и `related_artifacts` — опциональны, но РЕКОМЕНДОВАНЫ, когда\n Analysis опирается на Research/Audit/Report outputs или смежные артефакты.\n- `analysis-subtype` — из фиксированного словаря\n `inventory | matrix | options | recommendation`. **Опционален** в базе; его\n обязательность для конкретных форм не расширяется этим стандартом (ADR-006:\n subtype опционален в базе). Добавляется, когда явно объявляет форму профиля.\n- `supersedes` НЕ входит в обязательное ядро; добавляется только при\n подтверждённой замене (B-024 §6) как backlink на заменяющий Analysis.\n- `ai-generated` во frontmatter **ЗАПРЕЩЁН**. Provenance фиксируется в issue, PR,\n changelog или session record.\n\nRelation-словарь **согласован** с Reports standard (B-043:\n`based_on`/`source`/`scope`/`supersedes`/`related_artifacts`) и Audit standard\n(B-032), чтобы cross-artifact метаданные читались единообразно.\n\n> **Разграничение словарей (lifecycle vs frontmatter).** Правила этой секции\n> нормируют frontmatter **Analysis-артефактов** (объект стандарта, путь\n> `docs/analysis/`) — они принадлежат классу Knowledge и используют\n> **knowledge-vocabulary**. Сам этот документ — governance-артефакт класса\n> `standards/`, поэтому его собственный `status` использует\n> **governance-vocabulary** (см. [Lifecycle](#lifecycle)). Это не противоречие:\n> `standards/*.md` и `docs/analysis/*.md` — разные document classes с разными", | |
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| [2026-08-11T19:25:08.597Z] [INFO] "content": "> `standards/*.md` и `docs/analysis/*.md` — разные document classes с разными\n> словарями статусов per\n> [Frontmatter Docs Standard](frontmatter-docs-standard.md) (Status\n> Vocabularies). Смешивать словари внутри одного класса ЗАПРЕЩЕНО.\n\n## Minimum Body Sections\n\nКаждый Analysis ДОЛЖЕН содержать минимальное ядро секций базового каркаса\n(interpretive/causal стойка — «что это значит / какие опции следуют», а не\ngenerative «новое внешнее знание», не normative «соответствует ли норме» и не\ndescriptive «что произошло»):\n\n| Секция | Обязательность | Содержание |\n| --- | --- | --- |\n| Summary / BLUF | обязательна | Вывод интерпретации в одном абзаце первым абзацем. |\n| Context / Scope | обязательна | Дата, автор, источники, охват (`scope`) и что именно интерпретируется. |\n| Findings / Options | обязательна | Интерпретация локальных фактов, границ и вариантов (не execution log, не вердикт). |\n| Recommendations | обязательна | Что следует из интерпретации (без принятия решения — это RFC/ADR). |\n| Related Artifacts | обязательна | Ссылки на evidence, parent work и смежные артефакты. |\n\nПрофиль подтипа ДОБАВЛЯЕТ обязательное ядро поверх этой базы (см. ниже).\nГенерация нового внешнего знания, source-backed research methodology и\nобязательные внешние источники НЕ входят в Analysis — Analysis может опираться\nна локальные факты, Research/Audit/Report outputs и данные репозитория (B-024\n§7.3). Причинный разбор с вердиктом pass/fail и compliance target делегируются\nAudit, а descriptive execution log — Report.\n\n## Type Model\n\n`model`. Модель типа Analysis реализует **Вариант C** ADR-006: один базовый\nстандарт Analysis + опциональные профили подтипов\n(`inventory | matrix | options | recommendation`). Таблица subtype profiles ниже\n— часть этой формы `model`; отдельная форма `profiles` или пустой раздел не\nиспользуются. Anti-inflation trigger выделения профиля вынесен в specific tail\n(см. [Anti-Inflation Trigger](#anti-inflation-trigger-триггер-b)).\n\nПодтипы входят как **лёгкие профили-секции** одного базового стандарта, а не как\nчетыре независимых стандарта (Вариант C). Профиль включается только когда форма\nреально повторяется в корпусе (B-024 наблюдает\ninventory/matrix/options/recommendation как доминирующие формы Analysis). Каждый\nпрофиль добавляет обязательное ядро поверх базы:\n\n| Профиль | Обязательное ядро (сверх базы) | Покрывает | Canonical path |\n| --- | --- | --- | --- |\n| `inventory` | предмет учёта, охват/снимок, критерии классификации, сводная таблица | сквозные инвентаризации артефактов/корпуса (B-024 сам — inventory Analysis) | `docs/analysis/` |\n| `matrix` | оси сравнения, критерии, ссылка на воспроизводимый evidence (`exp/`) | сравнительные матрицы кандидатов/вариантов | `docs/analysis/` |\n| `options` | набор вариантов, критерии сравнения, границы применимости | option analysis без decision gate (вход для RFC) | `docs/analysis/` |\n| `recommendation` | интерпретация, рекомендация, обоснование, границы | repository-state / recommendation Analysis | `docs/analysis/` |\n\nКлючевой принцип (B-024 §4): «**Analysis — interpretation layer**». Документ\nможет быть `inventory analysis` или `options analysis`, но остаётся Analysis по\nдоминирующей стойке, а не превращается в Research/Audit/Report из-за формы\nвывода. Профиль описывает **форму выхода**, а не меняет тип артефакта.\n\n## Lifecycle\n\nAnalysis-артефакты (объект стандарта) используют **knowledge-vocabulary**\nстатусов (ADR-006/ADR-002: Analysis — knowledge-артефакт IL-3, а не decision\nrecord):\n\n```mermaid\nflowchart LR\n Draft[draft] --> Reviewed[reviewed]\n Reviewed --> Canonical[canonical]\n Canonical --> Superseded[superseded]\n```\n\n- `draft` — черновая интерпретация, ещё не прошла review.\n- `reviewed` — Analysis проверен и принят как надёжная интерпретация.\n- `canonical` — текущий опорный Analysis для своего scope (reusable basis для\n ссылок).\n- `superseded` — Analysis заменён; `superseded` ТРЕБУЕТ backlink на заменяющий\n Analysis через `supersedes` в заменяющем документе.\n\nGovernance-словарь (`proposed`, `accepted`, `rejected`) ЗАПРЕЩЁН для Analysis:\nAnalysis — knowledge-артефакт (IL-3), а не decision record. Это отличается от\nlifecycle самого RFC (`draft → proposed → accepted → ...`): RFC — decision\nproposal, Analysis — knowledge-артефакт.\n\nСам этот документ как governance-артефакт класса `standards/` подчиняется\n**governance-словарю** статусов\n(`draft`, `proposed`, `accepted`, `rejected`, `deprecated`, `superseded`) — это\nотдельный словарь от knowledge-vocabulary, который стандарт предписывает для\nнормируемых им Analysis-артефактов. Пока идёт review, стандарт остаётся в\n`draft`/`proposed`; `accepted` фиксирует human decision gate.\n\n```mermaid\nflowchart LR\n SDraft[draft] --> SProposed[proposed]\n SProposed --> SAccepted[accepted]\n SAccepted --> SDeprecated[deprecated]\n SAccepted --> SSuperseded[superseded]\n SDeprecated --> SSuperseded\n```\n\nИзменение принятой модели Analysis (Вариант C, набор профилей, routing\n`docs/analysis/`, relation-frontmatter) требует нового RFC/ADR, а не правки\nэтого стандарта.\n\n## Boundaries\n\nCanonical owner общей таблицы artifact boundary и routing —\n[ADR-002](../docs/adr/2026-06-adr-002-artifact-document-methodology.md); этот\nраздел её не дублирует и не переопределяет, а фиксирует только локальную delta\nAnalysis. Границы **фиксируются ссылкой**, а не переписыванием: полные таблицы —\nв B-024 §4, B-029, B-041 и глоссарии. Тип артефакта определяется доминирующей\nстойкой (совместимо с content-over-path, issue #288):\n\n| Граница | Правило | Дом артефакта |\n| --- | --- | --- |\n| Analysis ↔ Research | Research генерирует новое внешнее/доменное знание (source-backed benchmark, гипотеза); Analysis интерпретирует локальный/внутренний контекст. Analysis может **цитировать** Research как вход, но **не наследует** research-evidence rules и не требует внешних источников. | `docs/analysis/` vs `research/<domain>/` |\n| Analysis ↔ Audit | Audit проверяет соответствие норме/контракту с pass/fail и remediation; Analysis объясняет состояние и опции **без вердикта**. Analysis становится Audit при добавлении compliance target и вердиктов (B-029). | `docs/analysis/` vs `docs/audit/` |\n| Analysis ↔ Report | Report фиксирует «что произошло» (descriptive: execution log, kickoff, retrospective); Analysis объясняет, что состояние **значит** и какие опции следуют. Analysis допускает evidence-ссылки на Reports, но не поглощает Report-профили (B-041 P5). | `docs/analysis/` vs `docs/report/` |\n| Analysis ↔ RFC | RFC предлагает изменение до decision gate (alternatives + acceptance path); Analysis может готовить options и evidence как **вход** для RFC, но proposal с decision-альтернативами — это RFC. | `docs/analysis/` vs `docs/rfc/` |\n| Analysis ↔ ADR | ADR фиксирует принятое решение; Analysis — upstream evidence для ADR (recommendation), но сам **не decision record**. | `docs/analysis/` vs `docs/adr/` |\n\nНормативный тай-брейкер для граничных кейсов — один вопрос исполнителю:\n\n> Этот документ **интерпретирует локальный/внутренний контекст и объясняет\n> опции без вердикта** (→ Analysis), генерирует **новое внешнее знание/варианты\n> за границей** (→ Research), проверяет **соответствие явной норме и выносит\n> вердикт** (→ Audit), фиксирует **устойчивый record of results со своим\n> lifecycle** (→ Report), предлагает **изменение с альтернативами до decision\n> gate** (→ RFC), или фиксирует **принятое решение** (→ ADR)?\n\nЕсли документ делает несколько вещей сразу, он ДОЛЖЕН быть **разделён** либо\nклассифицирован по доминирующему deliverable. Один артефакт ЗАПРЕЩЕНО нормировать\nкак два типа сразу.\n\n## Validation\n\nLocal checks:\n\n```bash\n./tools/validate-frontmatter.sh .\n./tools/validate-file-naming.sh\n./tools/validate-repository-structure.sh\n```\n\nНормативный enforcement принятой модели (`analysis-subtype`,\nrelation-метаданные, routing `docs/analysis/`, knowledge-lifecycle)\nкодифицируется обновлением валидаторов в цепочке cleanup B-028, не в этом\nстандарте. Расширение валидаторов за пределы frontmatter, naming и registry\nchecks отслеживается как tech debt в\n[pr-ops/backlog.md](../pr-ops/backlog.md).\n\n## Related Artifacts\n\n- [Standard Meta-Structure Standard](standard-meta-structure.md) — F10-скелет,\n которому соответствует структура этого стандарта (B-052/B-053).\n- [ADR-008: Мета-структура стандартов](../docs/adr/2026-07-adr-008-standard-meta-structure.md) —\n источник правила F10 и смягчённого правила specific-tail cross-reference.\n- [ADR-006: Структура Analysis-артефактов и принятие Варианта C](../docs/adr/2026-07-adr-006-analysis-structure.md)\n (B-026) — источник принятого решения (Вариант C, routing `docs/analysis/`,\n relation-frontmatter, knowledge-lifecycle, границы).\n- [RFC B-025: Структура Analysis-артефактов](../docs/rfc/2026-07-02-rfc-analysis-structure.md) —\n rationale, alternatives (A/B/C/D), trade-offs и rejected options.\n- [Analysis inventory and boundaries (B-024)](../docs/analysis/2026-07-02-analysis-artifacts-inventory.md) —\n инвентарь 186 кандидатов (19 фактических Analysis), границы §4, requirements\n для B-025 §7.\n- [Analysis inventory evidence](../research/hub/exp/analysis-inventory-342/) —", | |
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| [2026-08-11T19:25:08.597Z] [INFO] "stdout": "> `standards/*.md` и `docs/analysis/*.md` — разные document classes с разными\n> словарями статусов per\n> [Frontmatter Docs Standard](frontmatter-docs-standard.md) (Status\n> Vocabularies). Смешивать словари внутри одного класса ЗАПРЕЩЕНО.\n\n## Minimum Body Sections\n\nКаждый Analysis ДОЛЖЕН содержать минимальное ядро секций базового каркаса\n(interpretive/causal стойка — «что это значит / какие опции следуют», а не\ngenerative «новое внешнее знание», не normative «соответствует ли норме» и не\ndescriptive «что произошло»):\n\n| Секция | Обязательность | Содержание |\n| --- | --- | --- |\n| Summary / BLUF | обязательна | Вывод интерпретации в одном абзаце первым абзацем. |\n| Context / Scope | обязательна | Дата, автор, источники, охват (`scope`) и что именно интерпретируется. |\n| Findings / Options | обязательна | Интерпретация локальных фактов, границ и вариантов (не execution log, не вердикт). |\n| Recommendations | обязательна | Что следует из интерпретации (без принятия решения — это RFC/ADR). |\n| Related Artifacts | обязательна | Ссылки на evidence, parent work и смежные артефакты. |\n\nПрофиль подтипа ДОБАВЛЯЕТ обязательное ядро поверх этой базы (см. ниже).\nГенерация нового внешнего знания, source-backed research methodology и\nобязательные внешние источники НЕ входят в Analysis — Analysis может опираться\nна локальные факты, Research/Audit/Report outputs и данные репозитория (B-024\n§7.3). Причинный разбор с вердиктом pass/fail и compliance target делегируются\nAudit, а descriptive execution log — Report.\n\n## Type Model\n\n`model`. Модель типа Analysis реализует **Вариант C** ADR-006: один базовый\nстандарт Analysis + опциональные профили подтипов\n(`inventory | matrix | options | recommendation`). Таблица subtype profiles ниже\n— часть этой формы `model`; отдельная форма `profiles` или пустой раздел не\nиспользуются. Anti-inflation trigger выделения профиля вынесен в specific tail\n(см. [Anti-Inflation Trigger](#anti-inflation-trigger-триггер-b)).\n\nПодтипы входят как **лёгкие профили-секции** одного базового стандарта, а не как\nчетыре независимых стандарта (Вариант C). Профиль включается только когда форма\nреально повторяется в корпусе (B-024 наблюдает\ninventory/matrix/options/recommendation как доминирующие формы Analysis). Каждый\nпрофиль добавляет обязательное ядро поверх базы:\n\n| Профиль | Обязательное ядро (сверх базы) | Покрывает | Canonical path |\n| --- | --- | --- | --- |\n| `inventory` | предмет учёта, охват/снимок, критерии классификации, сводная таблица | сквозные инвентаризации артефактов/корпуса (B-024 сам — inventory Analysis) | `docs/analysis/` |\n| `matrix` | оси сравнения, критерии, ссылка на воспроизводимый evidence (`exp/`) | сравнительные матрицы кандидатов/вариантов | `docs/analysis/` |\n| `options` | набор вариантов, критерии сравнения, границы применимости | option analysis без decision gate (вход для RFC) | `docs/analysis/` |\n| `recommendation` | интерпретация, рекомендация, обоснование, границы | repository-state / recommendation Analysis | `docs/analysis/` |\n\nКлючевой принцип (B-024 §4): «**Analysis — interpretation layer**». Документ\nможет быть `inventory analysis` или `options analysis`, но остаётся Analysis по\nдоминирующей стойке, а не превращается в Research/Audit/Report из-за формы\nвывода. Профиль описывает **форму выхода**, а не меняет тип артефакта.\n\n## Lifecycle\n\nAnalysis-артефакты (объект стандарта) используют **knowledge-vocabulary**\nстатусов (ADR-006/ADR-002: Analysis — knowledge-артефакт IL-3, а не decision\nrecord):\n\n```mermaid\nflowchart LR\n Draft[draft] --> Reviewed[reviewed]\n Reviewed --> Canonical[canonical]\n Canonical --> Superseded[superseded]\n```\n\n- `draft` — черновая интерпретация, ещё не прошла review.\n- `reviewed` — Analysis проверен и принят как надёжная интерпретация.\n- `canonical` — текущий опорный Analysis для своего scope (reusable basis для\n ссылок).\n- `superseded` — Analysis заменён; `superseded` ТРЕБУЕТ backlink на заменяющий\n Analysis через `supersedes` в заменяющем документе.\n\nGovernance-словарь (`proposed`, `accepted`, `rejected`) ЗАПРЕЩЁН для Analysis:\nAnalysis — knowledge-артефакт (IL-3), а не decision record. Это отличается от\nlifecycle самого RFC (`draft → proposed → accepted → ...`): RFC — decision\nproposal, Analysis — knowledge-артефакт.\n\nСам этот документ как governance-артефакт класса `standards/` подчиняется\n**governance-словарю** статусов\n(`draft`, `proposed`, `accepted`, `rejected`, `deprecated`, `superseded`) — это\nотдельный словарь от knowledge-vocabulary, который стандарт предписывает для\nнормируемых им Analysis-артефактов. Пока идёт review, стандарт остаётся в\n`draft`/`proposed`; `accepted` фиксирует human decision gate.\n\n```mermaid\nflowchart LR\n SDraft[draft] --> SProposed[proposed]\n SProposed --> SAccepted[accepted]\n SAccepted --> SDeprecated[deprecated]\n SAccepted --> SSuperseded[superseded]\n SDeprecated --> SSuperseded\n```\n\nИзменение принятой модели Analysis (Вариант C, набор профилей, routing\n`docs/analysis/`, relation-frontmatter) требует нового RFC/ADR, а не правки\nэтого стандарта.\n\n## Boundaries\n\nCanonical owner общей таблицы artifact boundary и routing —\n[ADR-002](../docs/adr/2026-06-adr-002-artifact-document-methodology.md); этот\nраздел её не дублирует и не переопределяет, а фиксирует только локальную delta\nAnalysis. Границы **фиксируются ссылкой**, а не переписыванием: полные таблицы —\nв B-024 §4, B-029, B-041 и глоссарии. Тип артефакта определяется доминирующей\nстойкой (совместимо с content-over-path, issue #288):\n\n| Граница | Правило | Дом артефакта |\n| --- | --- | --- |\n| Analysis ↔ Research | Research генерирует новое внешнее/доменное знание (source-backed benchmark, гипотеза); Analysis интерпретирует локальный/внутренний контекст. Analysis может **цитировать** Research как вход, но **не наследует** research-evidence rules и не требует внешних источников. | `docs/analysis/` vs `research/<domain>/` |\n| Analysis ↔ Audit | Audit проверяет соответствие норме/контракту с pass/fail и remediation; Analysis объясняет состояние и опции **без вердикта**. Analysis становится Audit при добавлении compliance target и вердиктов (B-029). | `docs/analysis/` vs `docs/audit/` |\n| Analysis ↔ Report | Report фиксирует «что произошло» (descriptive: execution log, kickoff, retrospective); Analysis объясняет, что состояние **значит** и какие опции следуют. Analysis допускает evidence-ссылки на Reports, но не поглощает Report-профили (B-041 P5). | `docs/analysis/` vs `docs/report/` |\n| Analysis ↔ RFC | RFC предлагает изменение до decision gate (alternatives + acceptance path); Analysis может готовить options и evidence как **вход** для RFC, но proposal с decision-альтернативами — это RFC. | `docs/analysis/` vs `docs/rfc/` |\n| Analysis ↔ ADR | ADR фиксирует принятое решение; Analysis — upstream evidence для ADR (recommendation), но сам **не decision record**. | `docs/analysis/` vs `docs/adr/` |\n\nНормативный тай-брейкер для граничных кейсов — один вопрос исполнителю:\n\n> Этот документ **интерпретирует локальный/внутренний контекст и объясняет\n> опции без вердикта** (→ Analysis), генерирует **новое внешнее знание/варианты\n> за границей** (→ Research), проверяет **соответствие явной норме и выносит\n> вердикт** (→ Audit), фиксирует **устойчивый record of results со своим\n> lifecycle** (→ Report), предлагает **изменение с альтернативами до decision\n> gate** (→ RFC), или фиксирует **принятое решение** (→ ADR)?\n\nЕсли документ делает несколько вещей сразу, он ДОЛЖЕН быть **разделён** либо\nклассифицирован по доминирующему deliverable. Один артефакт ЗАПРЕЩЕНО нормировать\nкак два типа сразу.\n\n## Validation\n\nLocal checks:\n\n```bash\n./tools/validate-frontmatter.sh .\n./tools/validate-file-naming.sh\n./tools/validate-repository-structure.sh\n```\n\nНормативный enforcement принятой модели (`analysis-subtype`,\nrelation-метаданные, routing `docs/analysis/`, knowledge-lifecycle)\nкодифицируется обновлением валидаторов в цепочке cleanup B-028, не в этом\nстандарте. Расширение валидаторов за пределы frontmatter, naming и registry\nchecks отслеживается как tech debt в\n[pr-ops/backlog.md](../pr-ops/backlog.md).\n\n## Related Artifacts\n\n- [Standard Meta-Structure Standard](standard-meta-structure.md) — F10-скелет,\n которому соответствует структура этого стандарта (B-052/B-053).\n- [ADR-008: Мета-структура стандартов](../docs/adr/2026-07-adr-008-standard-meta-structure.md) —\n источник правила F10 и смягчённого правила specific-tail cross-reference.\n- [ADR-006: Структура Analysis-артефактов и принятие Варианта C](../docs/adr/2026-07-adr-006-analysis-structure.md)\n (B-026) — источник принятого решения (Вариант C, routing `docs/analysis/`,\n relation-frontmatter, knowledge-lifecycle, границы).\n- [RFC B-025: Структура Analysis-артефактов](../docs/rfc/2026-07-02-rfc-analysis-structure.md) —\n rationale, alternatives (A/B/C/D), trade-offs и rejected options.\n- [Analysis inventory and boundaries (B-024)](../docs/analysis/2026-07-02-analysis-artifacts-inventory.md) —\n инвентарь 186 кандидатов (19 фактических Analysis), границы §4, requirements\n для B-025 §7.\n- [Analysis inventory evidence](../research/hub/exp/analysis-inventory-342/) —", | |
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| [2026-08-11T19:25:08.703Z] [STDOUT] output_config: [Object ...], | |
| [2026-08-11T19:25:08.706Z] [STDOUT] diagnostics: [Object ...], | |
| [2026-08-11T19:25:08.708Z] [STDOUT] stream: true, | |
| [2026-08-11T19:25:08.712Z] [STDOUT] }, | |
| [2026-08-11T19:25:08.714Z] [STDOUT] timeout: 600000, | |
| [2026-08-11T19:25:08.717Z] [STDOUT] signal: AbortSignal { | |
| [2026-08-11T19:25:08.719Z] [STDOUT] [Symbol(events.maxEventTargetListeners)]: 50, | |
| [2026-08-11T19:25:08.720Z] [STDOUT] [Symbol(events.maxEventTargetListenersWarned)]: false, | |
| [2026-08-11T19:25:08.724Z] [STDOUT] aborted: false, | |
| [2026-08-11T19:25:08.730Z] [STDOUT] reason: undefined, | |
| [2026-08-11T19:25:08.736Z] [STDOUT] onabort: null, | |
| [2026-08-11T19:25:08.739Z] [STDOUT] throwIfAborted: [Function: throwIfAborted], | |
| [2026-08-11T19:25:08.744Z] [STDOUT] addEventListener: [Function: addEventListener], | |
| [2026-08-11T19:25:08.748Z] [STDOUT] removeEventListener: [Function: removeEventListener], | |
| [2026-08-11T19:25:08.752Z] [STDOUT] dispatchEvent: [Function: dispatchEvent], | |
| [2026-08-11T19:25:08.759Z] [STDOUT] }, | |
| [2026-08-11T19:25:08.761Z] [STDOUT] stream: true, | |
| [2026-08-11T19:25:08.763Z] [STDOUT] }, | |
| [2026-08-11T19:25:08.766Z] [STDOUT] headers: { | |
| [2026-08-11T19:25:08.769Z] [STDOUT] accept: "application/json", | |
| [2026-08-11T19:25:08.771Z] [STDOUT] "anthropic-beta": "claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,thinking-token-count-2026-05-13,context-management-2025-06-27,prompt-caching-scope-2026-01-05,mid-conversation-system-2026-04-07,advisor-tool-2026-03-01,advanced-tool-use-2025-11-20,effort-2025-11-24,fallback-credit-2026-06-01,extended-cache-ttl-2025-04-11,cache-diagnosis-2026-04-07", | |
| [2026-08-11T19:25:08.773Z] [STDOUT] "anthropic-dangerous-direct-browser-access": "true", | |
| [2026-08-11T19:25:08.775Z] [STDOUT] "anthropic-version": "2023-06-01", | |
| [2026-08-11T19:25:08.778Z] [STDOUT] authorization: "[REDACTED]", | |
| [2026-08-11T19:25:08.781Z] [STDOUT] "content-type": "application/json", | |
| [2026-08-11T19:25:08.783Z] [STDOUT] "user-agent": "claude-cli/2.1.222 (external, sdk-cli)", | |
| [2026-08-11T19:25:08.788Z] [STDOUT] "x-app": "cli", | |
| [2026-08-11T19:25:08.789Z] [STDOUT] "x-claude-code-session-id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:25:08.791Z] [STDOUT] "x-client-request-id": "b23bbe4d-e69f-4f07-bb93-53ac68eabdcc", | |
| [2026-08-11T19:25:08.792Z] [STDOUT] "x-stainless-arch": "x64", | |
| [2026-08-11T19:25:08.794Z] [STDOUT] "x-stainless-lang": "js", | |
| [2026-08-11T19:25:08.795Z] [STDOUT] "x-stainless-os": "Linux", | |
| [2026-08-11T19:25:08.798Z] [STDOUT] "x-stainless-package-version": "0.94.0", | |
| [2026-08-11T19:25:08.804Z] [STDOUT] "x-stainless-retry-count": "0", | |
| [2026-08-11T19:25:08.807Z] [STDOUT] "x-stainless-runtime": "node", | |
| [2026-08-11T19:25:08.810Z] [STDOUT] "x-stainless-runtime-version": "v26.3.0", | |
| [2026-08-11T19:25:08.812Z] [STDOUT] "x-stainless-timeout": "600", | |
| [2026-08-11T19:25:08.813Z] [STDOUT] }, | |
| [2026-08-11T19:25:08.815Z] [STDOUT] } | |
| [2026-08-11T19:25:10.158Z] [STDOUT] [log_d1a1ba, request-id: "req_011CdwWUhZ4FWqFWtdqxionG"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 1536ms | |
| [2026-08-11T19:25:10.183Z] [STDOUT] [log_d1a1ba] response start { | |
| [2026-08-11T19:25:10.185Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:25:10.186Z] [STDOUT] status: 200, | |
| [2026-08-11T19:25:10.188Z] [STDOUT] headers: { | |
| [2026-08-11T19:25:10.190Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:25:10.192Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:25:10.195Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:25:10.197Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:25:10.199Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:25:10.201Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:25:10.203Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.03", | |
| [2026-08-11T19:25:10.205Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:25:10.213Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:25:10.219Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:25:10.226Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:25:10.234Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:25:10.240Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:25:10.243Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:25:10.247Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:25:10.250Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:25:10.252Z] [STDOUT] "cf-ray": "a2999fe0d91065d6-FRA", | |
| [2026-08-11T19:25:10.256Z] [STDOUT] connection: "keep-alive", | |
| [2026-08-11T19:25:10.261Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:25:10.264Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:25:10.266Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:25:10.269Z] [STDOUT] date: "Tue, 11 Aug 2026 19:25:10 GMT", | |
| [2026-08-11T19:25:10.270Z] [STDOUT] "request-id": "req_011CdwWUhZ4FWqFWtdqxionG", | |
| [2026-08-11T19:25:10.272Z] [STDOUT] server: "cloudflare", | |
| [2026-08-11T19:25:10.273Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:25:10.275Z] [STDOUT] traceresponse: "00-5756a0675e6b896a779015565c11d6b6-d4397d3ab6576f3c-01", | |
| [2026-08-11T19:25:10.277Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:25:10.281Z] [STDOUT] vary: "Accept-Encoding", | |
| [2026-08-11T19:25:10.283Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:25:10.285Z] [STDOUT] }, | |
| [2026-08-11T19:25:10.288Z] [STDOUT] durationMs: 1536, | |
| [2026-08-11T19:25:10.289Z] [STDOUT] } | |
| [2026-08-11T19:25:10.290Z] [STDOUT] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-08-11T19:25:10.291Z] [STDOUT] "date": "Tue, 11 Aug 2026 19:25:10 GMT", | |
| [2026-08-11T19:25:10.292Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:25:10.293Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:25:10.294Z] [STDOUT] "connection": "keep-alive", | |
| [2026-08-11T19:25:10.295Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:25:10.296Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:25:10.297Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:25:10.298Z] [STDOUT] "vary": "Accept-Encoding", | |
| [2026-08-11T19:25:10.299Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:25:10.300Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:25:10.301Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:25:10.302Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:25:10.304Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:25:10.304Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:25:10.305Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:25:10.306Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.03", | |
| [2026-08-11T19:25:10.307Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:25:10.308Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:25:10.309Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:25:10.310Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:25:10.311Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:25:10.314Z] [STDOUT] "request-id": "req_011CdwWUhZ4FWqFWtdqxionG", | |
| [2026-08-11T19:25:10.325Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:25:10.326Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:25:10.328Z] [STDOUT] "traceresponse": "00-5756a0675e6b896a779015565c11d6b6-d4397d3ab6576f3c-01", | |
| [2026-08-11T19:25:10.337Z] [STDOUT] "server": "cloudflare", | |
| [2026-08-11T19:25:10.346Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:25:10.349Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:25:10.352Z] [STDOUT] "cf-ray": "a2999fe0d91065d6-FRA", | |
| [2026-08-11T19:25:10.356Z] [STDOUT] } ReadableStream { locked: false, state: 'readable', supportsBYOB: false } | |
| [2026-08-11T19:25:10.359Z] [STDOUT] [log_d1a1ba] response parsed { | |
| [2026-08-11T19:25:10.361Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:25:10.363Z] [STDOUT] status: 200, | |
| [2026-08-11T19:25:10.368Z] [STDOUT] body: ste { | |
| [2026-08-11T19:25:10.372Z] [STDOUT] iterator: [AsyncGeneratorFunction: i], | |
| [2026-08-11T19:25:10.376Z] [STDOUT] controller: AbortController { | |
| [2026-08-11T19:25:10.377Z] [STDOUT] signal: [AbortSignal ...], | |
| [2026-08-11T19:25:10.378Z] [STDOUT] abort: [Function: abort], | |
| [2026-08-11T19:25:10.380Z] [STDOUT] }, | |
| [2026-08-11T19:25:10.382Z] [STDOUT] [Symbol(Symbol.asyncIterator)]: [Function], | |
| [2026-08-11T19:25:10.384Z] [STDOUT] tee: [Function: tee], | |
| [2026-08-11T19:25:10.387Z] [STDOUT] toReadableStream: [Function: toReadableStream], | |
| [2026-08-11T19:25:10.391Z] [STDOUT] }, | |
| [2026-08-11T19:25:10.394Z] [STDOUT] durationMs: 1537, | |
| [2026-08-11T19:25:10.397Z] [STDOUT] } | |
| [2026-08-11T19:25:11.078Z] [INFO] { | |
| [2026-08-11T19:25:11.078Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:11.078Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:11.078Z] [INFO] "estimated_tokens": 50, | |
| [2026-08-11T19:25:11.078Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:11.078Z] [INFO] "uuid": "ae0cced9-dab2-4992-8f77-5f1c19de43a5", | |
| [2026-08-11T19:25:11.078Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:11.078Z] [INFO] } | |
| [2026-08-11T19:25:12.554Z] [INFO] { | |
| [2026-08-11T19:25:12.554Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:12.554Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:12.554Z] [INFO] "estimated_tokens": 150, | |
| [2026-08-11T19:25:12.554Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:12.554Z] [INFO] "uuid": "8bbd86f8-fa24-4f27-9b10-504b68c12026", | |
| [2026-08-11T19:25:12.554Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:12.554Z] [INFO] } | |
| [2026-08-11T19:25:14.605Z] [INFO] { | |
| [2026-08-11T19:25:14.605Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:14.605Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:14.605Z] [INFO] "estimated_tokens": 300, | |
| [2026-08-11T19:25:14.605Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:14.605Z] [INFO] "uuid": "510a5cf6-6906-4256-a560-cb3fb328d1d1", | |
| [2026-08-11T19:25:14.605Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:14.605Z] [INFO] } | |
| [2026-08-11T19:25:15.988Z] [INFO] { | |
| [2026-08-11T19:25:15.988Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:15.988Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:15.988Z] [INFO] "estimated_tokens": 400, | |
| [2026-08-11T19:25:15.988Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:15.988Z] [INFO] "uuid": "bac9517a-a901-415b-9846-27c92f8e0be2", | |
| [2026-08-11T19:25:15.988Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:15.988Z] [INFO] } | |
| [2026-08-11T19:25:17.397Z] [INFO] { | |
| [2026-08-11T19:25:17.397Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:17.397Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:17.397Z] [INFO] "estimated_tokens": 500, | |
| [2026-08-11T19:25:17.397Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:17.397Z] [INFO] "uuid": "ecf505e3-847b-441d-81b3-18f038a48a5f", | |
| [2026-08-11T19:25:17.397Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:17.397Z] [INFO] } | |
| [2026-08-11T19:25:18.813Z] [INFO] { | |
| [2026-08-11T19:25:18.813Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:18.813Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:18.813Z] [INFO] "estimated_tokens": 600, | |
| [2026-08-11T19:25:18.813Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:18.813Z] [INFO] "uuid": "0a6cc5c6-da7b-41cb-8e70-2ee3e8bb1174", | |
| [2026-08-11T19:25:18.813Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:18.813Z] [INFO] } | |
| [2026-08-11T19:25:20.225Z] [INFO] { | |
| [2026-08-11T19:25:20.225Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:20.225Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:20.225Z] [INFO] "estimated_tokens": 700, | |
| [2026-08-11T19:25:20.225Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:20.225Z] [INFO] "uuid": "a1bbb9bb-0f16-46c9-b491-c564d10a9d4b", | |
| [2026-08-11T19:25:20.225Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:20.225Z] [INFO] } | |
| [2026-08-11T19:25:21.635Z] [INFO] { | |
| [2026-08-11T19:25:21.635Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:21.635Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:21.635Z] [INFO] "estimated_tokens": 750, | |
| [2026-08-11T19:25:21.635Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:21.635Z] [INFO] "uuid": "ccada5fe-c991-4349-9f55-5f9de322e650", | |
| [2026-08-11T19:25:21.635Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:21.635Z] [INFO] } | |
| [2026-08-11T19:25:23.079Z] [INFO] { | |
| [2026-08-11T19:25:23.079Z] [INFO] "type": "system", | |
| [2026-08-11T19:25:23.079Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:25:23.079Z] [INFO] "estimated_tokens": 850, | |
| [2026-08-11T19:25:23.079Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:25:23.079Z] [INFO] "uuid": "cbc16cee-1dbb-4560-abb5-1ac705a04b86", | |
| [2026-08-11T19:25:23.079Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:25:23.079Z] [INFO] } | |
| [2026-08-11T19:25:23.760Z] [INFO] { | |
| [2026-08-11T19:25:23.760Z] [INFO] "type": "assistant", | |
| [2026-08-11T19:25:23.760Z] [INFO] "message": { | |
| [2026-08-11T19:25:23.760Z] [INFO] "model": "claude-opus-5", | |
| [2026-08-11T19:25:23.760Z] [INFO] "id": "msg_011CdwWUiiFoPgWTd9oMMSeg", | |
| [2026-08-11T19:25:23.760Z] [INFO] "type": "message", | |
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| [2026-08-11T19:25:27.669Z] [INFO] "content": "#!/usr/bin/env python3\n\"\"\"Scan Analysis-adjacent artifacts for issue #342.\n\nThe scan is intentionally heuristic. It classifies the requested corpus by\nactual artifact role, then the written analysis document performs the final\ninterpretation and modernization recommendations.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport re\nimport subprocess\nfrom collections import Counter, defaultdict\nfrom dataclasses import dataclass\nfrom datetime import date\nfrom pathlib import Path\n\n\nSCAN_DATE = date(2026, 7, 2).isoformat()\nTEXT_EXTENSIONS = {\".md\", \".markdown\", \".txt\", \".html\"}\nSELF_PATHS = {\n \"docs/analysis/2026-07-02-analysis-artifacts-inventory.md\",\n}\nSELF_PREFIXES = (\n \"research/hub/exp/analysis-inventory-342/\",\n)\n\n\n@dataclass(frozen=True)\nclass RepoSpec:\n key: str\n label: str\n root: Path\n url: str\n\n\ndef run_git(root: Path, *args: str) -> str:\n return subprocess.check_output([\"git\", \"-C\", str(root), *args], text=True)\n\n\ndef tracked_files(root: Path) -> list[str]:\n return [line for line in run_git(root, \"ls-files\").splitlines() if line.strip()]\n\n\ndef repo_sha(root: Path) -> str:\n return run_git(root, \"rev-parse\", \"HEAD\").strip()\n\n\ndef in_scope(path: str) -> bool:\n if path in SELF_PATHS or path.startswith(SELF_PREFIXES):\n return False\n\n return path.startswith(\n (\n \"docs/analysis/\",\n \"docs/report/\",\n \"docs/reports/\",\n \"docs/audit/\",", | |
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| [2026-08-11T19:25:27.669Z] [INFO] "stdout": "#!/usr/bin/env python3\n\"\"\"Scan Analysis-adjacent artifacts for issue #342.\n\nThe scan is intentionally heuristic. It classifies the requested corpus by\nactual artifact role, then the written analysis document performs the final\ninterpretation and modernization recommendations.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport re\nimport subprocess\nfrom collections import Counter, defaultdict\nfrom dataclasses import dataclass\nfrom datetime import date\nfrom pathlib import Path\n\n\nSCAN_DATE = date(2026, 7, 2).isoformat()\nTEXT_EXTENSIONS = {\".md\", \".markdown\", \".txt\", \".html\"}\nSELF_PATHS = {\n \"docs/analysis/2026-07-02-analysis-artifacts-inventory.md\",\n}\nSELF_PREFIXES = (\n \"research/hub/exp/analysis-inventory-342/\",\n)\n\n\n@dataclass(frozen=True)\nclass RepoSpec:\n key: str\n label: str\n root: Path\n url: str\n\n\ndef run_git(root: Path, *args: str) -> str:\n return subprocess.check_output([\"git\", \"-C\", str(root), *args], text=True)\n\n\ndef tracked_files(root: Path) -> list[str]:\n return [line for line in run_git(root, \"ls-files\").splitlines() if line.strip()]\n\n\ndef repo_sha(root: Path) -> str:\n return run_git(root, \"rev-parse\", \"HEAD\").strip()\n\n\ndef in_scope(path: str) -> bool:\n if path in SELF_PATHS or path.startswith(SELF_PREFIXES):\n return False\n\n return path.startswith(\n (\n \"docs/analysis/\",\n \"docs/report/\",\n \"docs/reports/\",\n \"docs/audit/\",", | |
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| [2026-08-11T19:26:06.831Z] [INFO] "content": "#!/usr/bin/env python3\n\"\"\"Инвентаризация research-корпуса Хаба для issue #499.\n\nСкрипт сканирует `research/` и разделяет корпус на два наблюдаемых класса формы:\n\n* `module` — каталог, объявляющий себя модулем наличием точки входа `00-*.md`\n (форма Reference Research Pattern, RFC 2026-07-17);\n* `single` — одиночный датированный research-файл `YYYY-MM-DD-name.md`\n (форма RFC «Структура research», 2026-06-30).\n\nКлассификация формальная: она опирается только на структуру дерева, frontmatter\nи git history. Содержательная интерпретация (какая форма чему соответствует)\nвыполняется в родительском Analysis и в скрипт не заносится.\n\nИспользование:\n python3 research/hub/exp/research-methodology-validation-499/scan-research.py \\\n --out research/hub/exp/research-methodology-validation-499/research-inventory.json\n\"\"\"\n\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport re\nimport subprocess\nfrom collections import Counter\nfrom pathlib import Path\n\nREPO_ROOT = Path(__file__).resolve().parents[4]\nRESEARCH_ROOT = REPO_ROOT / \"research\"\n\nSELF_PREFIX = \"research/hub/exp/research-methodology-validation-499/\"\n\n# Файлы модуля Reference Research Pattern: префикс кратен десяти (P1 RFC).\nMODULE_FILE_RE = re.compile(r\"^(\\d{2})-[a-z0-9-]+\\.md$\")\nDATED_FILE_RE = re.compile(r\"^(\\d{4}-\\d{2}-\\d{2})-[a-z0-9.-]+\\.md$\")\nISSUE_RE = re.compile(r\"issues/(\\d+)\")\n\n# Канонический состав модуля по P1 RFC 2026-07-17.\nCANONICAL_MODULE_PREFIXES = [\"00\", \"10\", \"20\", \"30\", \"40\", \"50\"]\n\n\ndef run_git(*args: str) -> str:\n return subprocess.check_output([\"git\", \"-C\", str(REPO_ROOT), *args], text=True)\n\n\ndef read_frontmatter(path: Path) -> dict[str, str]:\n \"\"\"Плоский разбор frontmatter: только скалярные поля верхнего уровня.\"\"\"\n fields: dict[str, str] = {}\n lines = path.read_text(encoding=\"utf-8\").splitlines()\n if not lines or lines[0].strip() != \"---\":\n return fields\n for line in lines[1:]:\n if line.strip() == \"---\":\n break\n match = re.match(r\"^([a-zA-Z_-]+):\\s*(.*)$\", line)\n if match:\n key, value = match.group(1), match.group(2).strip().strip('\"')\n fields[key] = value\n return fields\n\n\ndef read_issue_refs(path: Path) -> list[str]:\n \"\"\"Все номера issue, упомянутые в файле (frontmatter + тело).\"\"\"\n text = path.read_text(encoding=\"utf-8\")\n return sorted(set(ISSUE_RE.findall(text)), key=int)\n\n\ndef first_commit(path: str) -> dict[str, str]:\n out = run_git(\n \"log\", \"--diff-filter=A\", \"--follow\", \"--format=%h|%ad|%s\",\n \"--date=short\", \"--\", path,\n ).splitlines()\n if not out:\n return {\"sha\": \"\", \"date\": \"\", \"subject\": \"\"}\n sha, date, subject = out[-1].split(\"|\", 2)\n return {\"sha\": sha, \"date\": date, \"subject\": subject}\n\n\ndef last_commit(path: str) -> dict[str, str]:\n out = run_git(\"log\", \"-1\", \"--format=%h|%ad|%s\", \"--date=short\", \"--\", path).splitlines()\n if not out:\n return {\"sha\": \"\", \"date\": \"\", \"subject\": \"\"}\n sha, date, subject = out[0].split(\"|\", 2)\n return {\"sha\": sha, \"date\": date, \"subject\": subject}\n\n\ndef line_count(path: Path) -> int:\n return len(path.read_text(encoding=\"utf-8\").splitlines())\n\n\ndef collect_modules() -> list[dict]:\n modules: list[dict] = []\n for entry_point in sorted(RESEARCH_ROOT.rglob(\"00-*.md\")):\n module_dir = entry_point.parent\n rel_dir = module_dir.relative_to(REPO_ROOT).as_posix()\n files = []\n extra_files = []\n for md in sorted(module_dir.glob(\"*.md\")):\n rel = md.relative_to(REPO_ROOT).as_posix()\n record = {\n \"path\": rel,\n \"lines\": line_count(md),\n \"frontmatter\": read_frontmatter(md),\n \"issues\": read_issue_refs(md),\n }\n if MODULE_FILE_RE.match(md.name):\n files.append(record)\n else:\n extra_files.append(record)\n\n prefixes = [md[\"path\"].rsplit(\"/\", 1)[-1][:2] for md in files]\n entry_rel = entry_point.relative_to(REPO_ROOT).as_posix()\n modules.append({\n \"kind\": \"module\",\n \"path\": rel_dir,\n \"domain\": module_dir.name,\n \"module_files\": len(files),\n \"extra_files\": [f[\"path\"] for f in extra_files],\n \"prefixes\": prefixes,\n \"canonical_six\": prefixes == CANONICAL_MODULE_PREFIXES,\n \"total_lines\": sum(f[\"lines\"] for f in files),\n \"total_lines_with_extra\": sum(f[\"lines\"] for f in files + extra_files),\n \"statuses\": sorted({f[\"frontmatter\"].get(\"status\", \"\") for f in files}),\n \"updated\": sorted({f[\"frontmatter\"].get(\"updated\", \"\") for f in files}),\n \"methods\": sorted({f[\"frontmatter\"].get(\"method\", \"\") for f in files if f[\"frontmatter\"].get(\"method\")}),\n \"issues\": sorted({i for f in files + extra_files for i in f[\"issues\"]}, key=int),\n \"created\": first_commit(entry_rel),\n \"last_touched\": last_commit(rel_dir),\n \"files\": files + extra_files,\n })\n return modules\n\n\ndef collect_singles(module_dirs: set[str]) -> list[dict]:\n singles: list[dict] = []\n for md in sorted(RESEARCH_ROOT.rglob(\"*.md\")):\n rel = md.relative_to(REPO_ROOT).as_posix()\n if rel.startswith(SELF_PREFIX):\n continue\n if md.name == \"README.md\":\n continue\n parent = md.parent.relative_to(REPO_ROOT).as_posix()\n if parent in module_dirs and MODULE_FILE_RE.match(md.name):\n continue\n if \"/exp/\" in rel:\n continue\n frontmatter = read_frontmatter(md)\n dated = DATED_FILE_RE.match(md.name)\n singles.append({\n \"kind\": \"single\",\n \"path\": rel,\n \"domain\": parent.split(\"/\", 1)[1] if \"/\" in parent else parent,\n \"in_module_dir\": parent in module_dirs,\n \"date_first_name\": bool(dated),\n \"name_date\": dated.group(1) if dated else \"\",\n \"lines\": line_count(md),\n \"status\": frontmatter.get(\"status\", \"\"),\n \"version\": frontmatter.get(\"version\", \"\"),\n \"updated\": frontmatter.get(\"updated\", \"\"),\n \"type\": frontmatter.get(\"type\", \"\"),\n \"method\": frontmatter.get(\"method\", \"\"),\n \"scope\": frontmatter.get(\"scope\", \"\"),\n \"source\": frontmatter.get(\"source\", \"\"),\n \"issues\": read_issue_refs(md),\n \"created\": first_commit(rel),\n \"last_touched\": last_commit(rel),\n })\n return singles\n\n\ndef collect_experiments() -> list[dict]:\n experiments = []\n for exp_dir in sorted(RESEARCH_ROOT.rglob(\"exp/*\")):\n if not exp_dir.is_dir():\n continue\n rel = exp_dir.relative_to(REPO_ROOT).as_posix()\n if rel.startswith(SELF_PREFIX.rstrip(\"/\")):\n continue\n files = sorted(p.relative_to(REPO_ROOT).as_posix() for p in exp_dir.rglob(\"*\") if p.is_file())\n experiments.append({\n \"path\": rel,\n \"files\": len(files),\n \"scripts\": len([f for f in files if f.endswith(\".py\")]),\n \"datasets\": len([f for f in files if f.endswith(\".json\")]),\n \"logs\": len([f for f in files if f.endswith(\".log\")]),\n \"created\": first_commit(rel),\n })\n return experiments\n\n\ndef main() -> None:\n parser = argparse.ArgumentParser(description=__doc__)\n parser.add_argument(\"--out\", required=True, help=\"путь для JSON-результата\")\n args = parser.parse_args()\n\n modules = collect_modules()\n module_dirs = {m[\"path\"] for m in modules}\n singles = collect_singles(module_dirs)\n experiments = collect_experiments()\n\n by_domain = Counter(s[\"path\"].split(\"/\")[1] for s in singles)\n result = {\n \"repo_sha\": run_git(\"rev-parse\", \"HEAD\").strip(),\n \"source_issue\": \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499\",\n \"summary\": {\n \"modules\": len(modules),\n \"modules_canonical_six\": sum(1 for m in modules if m[\"canonical_six\"]),\n \"modules_with_extra_files\": sum(1 for m in modules if m[\"extra_files\"]),\n \"module_files_total\": sum(m[\"module_files\"] for m in modules),\n \"module_lines_total\": sum(m[\"total_lines\"] for m in modules),\n \"singles\": len(singles),\n \"singles_lines_total\": sum(s[\"lines\"] for s in singles),\n \"singles_not_date_first\": [s[\"path\"] for s in singles if not s[\"date_first_name\"]],\n \"singles_by_domain\": dict(sorted(by_domain.items())),\n \"hub_singles\": sum(1 for s in singles if s[\"path\"].startswith(\"research/hub/\")),\n \"experiments\": len(experiments),\n \"experiments_with_scripts\": sum(1 for e in experiments if e[\"scripts\"]),\n },\n \"modules\": modules,\n \"singles\": singles,\n \"experiments\": experiments,\n }\n\n out_path = Path(args.out)\n out_path.write_text(json.dumps(result, ensure_ascii=False, indent=2) + \"\\n\", encoding=\"utf-8\")\n\n s = result[\"summary\"]\n print(f\"repo sha: {result['repo_sha']}\")\n print(f\"modules: {s['modules']} (canonical six files: {s['modules_canonical_six']}, \"\n f\"with extra files: {s['modules_with_extra_files']})\")\n print(f\"module files: {s['module_files_total']}, lines: {s['module_lines_total']}\")\n print(f\"singles: {s['singles']}, lines: {s['singles_lines_total']}, hub singles: {s['hub_singles']}\")\n print(f\"singles without date-first name: {s['singles_not_date_first']}\")\n print(f\"singles by domain: {s['singles_by_domain']}\")\n print(f\"experiments: {s['experiments']} (with scripts: {s['experiments_with_scripts']})\")\n\n\nif __name__ == \"__main__\":\n main()\n" | |
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| [2026-08-11T19:26:06.911Z] [INFO] "content": "#!/usr/bin/env python3\n\"\"\"Инвентаризация research-корпуса Хаба для issue #499.\n\nСкрипт сканирует `research/` и разделяет корпус на два наблюдаемых класса формы:\n\n* `module` — каталог, объявляющий себя модулем наличием точки входа `00-*.md`\n (форма Reference Research Pattern, RFC 2026-07-17);\n* `single` — одиночный датированный research-файл `YYYY-MM-DD-name.md`\n (форма RFC «Структура research», 2026-06-30).\n\nКлассификация формальная: она опирается только на структуру дерева, frontmatter\nи git history. Содержательная интерпретация (какая форма чему соответствует)\nвыполняется в родительском Analysis и в скрипт не заносится.\n\nИспользование:\n python3 research/hub/exp/research-methodology-validation-499/scan-research.py \\\n --out research/hub/exp/research-methodology-validation-499/research-inventory.json\n\"\"\"\n\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport re\nimport subprocess\nfrom collections import Counter\nfrom pathlib import Path\n\nREPO_ROOT = Path(__file__).resolve().parents[4]\nRESEARCH_ROOT = REPO_ROOT / \"research\"\n\nSELF_PREFIX = \"research/hub/exp/research-methodology-validation-499/\"\n\n# Файлы модуля Reference Research Pattern: префикс кратен десяти (P1 RFC).\nMODULE_FILE_RE = re.compile(r\"^(\\d{2})-[a-z0-9-]+\\.md$\")\nDATED_FILE_RE = re.compile(r\"^(\\d{4}-\\d{2}-\\d{2})-[a-z0-9.-]+\\.md$\")\nISSUE_RE = re.compile(r\"issues/(\\d+)\")\n\n# Канонический состав модуля по P1 RFC 2026-07-17.\nCANONICAL_MODULE_PREFIXES = [\"00\", \"10\", \"20\", \"30\", \"40\", \"50\"]\n\n\ndef run_git(*args: str) -> str:\n return subprocess.check_output([\"git\", \"-C\", str(REPO_ROOT), *args], text=True)\n\n\ndef read_frontmatter(path: Path) -> dict[str, str]:\n \"\"\"Плоский разбор frontmatter: только скалярные поля верхнего уровня.\"\"\"\n fields: dict[str, str] = {}\n lines = path.read_text(encoding=\"utf-8\").splitlines()\n if not lines or lines[0].strip() != \"---\":\n return fields\n for line in lines[1:]:\n if line.strip() == \"---\":\n break\n match = re.match(r\"^([a-zA-Z_-]+):\\s*(.*)$\", line)\n if match:\n key, value = match.group(1), match.group(2).strip().strip('\"')\n fields[key] = value\n return fields\n\n\ndef read_issue_refs(path: Path) -> list[str]:\n \"\"\"Все номера issue, упомянутые в файле (frontmatter + тело).\"\"\"\n text = path.read_text(encoding=\"utf-8\")\n return sorted(set(ISSUE_RE.findall(text)), key=int)\n\n\ndef first_commit(path: str) -> dict[str, str]:\n out = run_git(\n \"log\", \"--diff-filter=A\", \"--follow\", \"--format=%h|%ad|%s\",\n \"--date=short\", \"--\", path,\n ).splitlines()\n if not out:\n return {\"sha\": \"\", \"date\": \"\", \"subject\": \"\"}\n sha, date, subject = out[-1].split(\"|\", 2)\n return {\"sha\": sha, \"date\": date, \"subject\": subject}\n\n\ndef last_commit(path: str) -> dict[str, str]:\n out = run_git(\"log\", \"-1\", \"--format=%h|%ad|%s\", \"--date=short\", \"--\", path).splitlines()\n if not out:\n return {\"sha\": \"\", \"date\": \"\", \"subject\": \"\"}\n sha, date, subject = out[0].split(\"|\", 2)\n return {\"sha\": sha, \"date\": date, \"subject\": subject}\n\n\ndef line_count(path: Path) -> int:\n return len(path.read_text(encoding=\"utf-8\").splitlines())\n\n\ndef collect_modules() -> list[dict]:\n modules: list[dict] = []\n for entry_point in sorted(RESEARCH_ROOT.rglob(\"00-*.md\")):\n module_dir = entry_point.parent\n rel_dir = module_dir.relative_to(REPO_ROOT).as_posix()\n files = []\n extra_files = []\n for md in sorted(module_dir.glob(\"*.md\")):\n rel = md.relative_to(REPO_ROOT).as_posix()\n record = {\n \"path\": rel,\n \"lines\": line_count(md),\n \"frontmatter\": read_frontmatter(md),\n \"issues\": read_issue_refs(md),\n }\n if MODULE_FILE_RE.match(md.name):\n files.append(record)\n else:\n extra_files.append(record)\n\n prefixes = [md[\"path\"].rsplit(\"/\", 1)[-1][:2] for md in files]\n entry_rel = entry_point.relative_to(REPO_ROOT).as_posix()\n modules.append({\n \"kind\": \"module\",\n \"path\": rel_dir,\n \"domain\": module_dir.name,\n \"module_files\": len(files),\n \"extra_files\": [f[\"path\"] for f in extra_files],\n \"prefixes\": prefixes,\n \"canonical_six\": prefixes == CANONICAL_MODULE_PREFIXES,\n \"total_lines\": sum(f[\"lines\"] for f in files),\n \"total_lines_with_extra\": sum(f[\"lines\"] for f in files + extra_files),\n \"statuses\": sorted({f[\"frontmatter\"].get(\"status\", \"\") for f in files}),\n \"updated\": sorted({f[\"frontmatter\"].get(\"updated\", \"\") for f in files}),\n \"methods\": sorted({f[\"frontmatter\"].get(\"method\", \"\") for f in files if f[\"frontmatter\"].get(\"method\")}),\n \"issues\": sorted({i for f in files + extra_files for i in f[\"issues\"]}, key=int),\n \"created\": first_commit(entry_rel),\n \"last_touched\": last_commit(rel_dir),\n \"files\": files + extra_files,\n })\n return modules\n\n\ndef collect_singles(module_dirs: set[str]) -> list[dict]:\n singles: list[dict] = []\n for md in sorted(RESEARCH_ROOT.rglob(\"*.md\")):\n rel = md.relative_to(REPO_ROOT).as_posix()\n if rel.startswith(SELF_PREFIX):\n continue\n if md.name == \"README.md\":\n continue\n parent = md.parent.relative_to(REPO_ROOT).as_posix()\n if parent in module_dirs and MODULE_FILE_RE.match(md.name):\n continue\n if \"/exp/\" in rel:\n continue\n frontmatter = read_frontmatter(md)\n dated = DATED_FILE_RE.match(md.name)\n singles.append({\n \"kind\": \"single\",\n \"path\": rel,\n \"domain\": parent.split(\"/\", 1)[1] if \"/\" in parent else parent,\n \"in_module_dir\": parent in module_dirs,\n \"date_first_name\": bool(dated),\n \"name_date\": dated.group(1) if dated else \"\",\n \"lines\": line_count(md),\n \"status\": frontmatter.get(\"status\", \"\"),\n \"version\": frontmatter.get(\"version\", \"\"),\n \"updated\": frontmatter.get(\"updated\", \"\"),\n \"type\": frontmatter.get(\"type\", \"\"),\n \"method\": frontmatter.get(\"method\", \"\"),\n \"scope\": frontmatter.get(\"scope\", \"\"),\n \"source\": frontmatter.get(\"source\", \"\"),\n \"issues\": read_issue_refs(md),\n \"created\": first_commit(rel),\n \"last_touched\": last_commit(rel),\n })\n return singles\n\n\ndef collect_experiments() -> list[dict]:\n experiments = []\n for exp_dir in sorted(RESEARCH_ROOT.rglob(\"exp/*\")):\n if not exp_dir.is_dir():\n continue\n rel = exp_dir.relative_to(REPO_ROOT).as_posix()\n if rel.startswith(SELF_PREFIX.rstrip(\"/\")):\n continue\n files = sorted(p.relative_to(REPO_ROOT).as_posix() for p in exp_dir.rglob(\"*\") if p.is_file())\n experiments.append({\n \"path\": rel,\n \"files\": len(files),\n \"scripts\": len([f for f in files if f.endswith(\".py\")]),\n \"datasets\": len([f for f in files if f.endswith(\".json\")]),\n \"logs\": len([f for f in files if f.endswith(\".log\")]),\n \"created\": first_commit(rel),\n })\n return experiments\n\n\ndef main() -> None:\n parser = argparse.ArgumentParser(description=__doc__)\n parser.add_argument(\"--out\", required=True, help=\"путь для JSON-результата\")\n args = parser.parse_args()\n\n modules = collect_modules()\n module_dirs = {m[\"path\"] for m in modules}\n singles = collect_singles(module_dirs)\n experiments = collect_experiments()\n\n by_domain = Counter(s[\"path\"].split(\"/\")[1] for s in singles)\n result = {\n \"repo_sha\": run_git(\"rev-parse\", \"HEAD\").strip(),\n \"source_issue\": \"https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/499\",\n \"summary\": {\n \"modules\": len(modules),\n \"modules_canonical_six\": sum(1 for m 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| [2026-08-11T19:26:21.302Z] [INFO] "usage": { | |
| [2026-08-11T19:26:21.302Z] [INFO] "input_tokens": 2, | |
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| [2026-08-11T19:26:21.302Z] [INFO] "cache_creation": { | |
| [2026-08-11T19:26:21.302Z] [INFO] "ephemeral_5m_input_tokens": 0, | |
| [2026-08-11T19:26:21.302Z] [INFO] "ephemeral_1h_input_tokens": 377 | |
| [2026-08-11T19:26:21.302Z] [INFO] }, | |
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| [2026-08-11T19:26:21.302Z] [INFO] "inference_geo": "not_available" | |
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| [2026-08-11T19:26:25.128Z] [INFO] "id": "msg_011CdwWZtuZpiNnTvVg58t5R", | |
| [2026-08-11T19:26:25.128Z] [INFO] "type": "message", | |
| [2026-08-11T19:26:25.128Z] [INFO] "role": "assistant", | |
| [2026-08-11T19:26:25.128Z] [INFO] "content": [ | |
| [2026-08-11T19:26:25.128Z] [INFO] { | |
| [2026-08-11T19:26:25.128Z] [INFO] "type": "tool_use", | |
| [2026-08-11T19:26:25.128Z] [INFO] "id": "toolu_01VWmFZdWDEztt8TByMgDUP4", | |
| [2026-08-11T19:26:25.128Z] [INFO] "name": "Bash", | |
| [2026-08-11T19:26:25.128Z] [INFO] "input": { | |
| [2026-08-11T19:26:25.128Z] [INFO] "command": "python3 - <<'EOF'\nimport json\nd=json.load(open('research/hub/exp/research-methodology-validation-499/research-inventory.json'))\nprint(\"MODULES\")\nfor m in d['modules']:\n print(f\"{m['domain']:38} files={m['module_files']} lines={m['total_lines']:5} created={m['created']['date']} issues={m['issues']} statuses={m['statuses']} extra={m['extra_files']}\")\nprint(\"\\nHUB SINGLES\")\nfor s in d['singles']:\n if s['path'].startswith('research/hub/'):\n print(f\"{s['path'].split('/')[-1]:62} lines={s['lines']:5} created={s['created']['date']} status={s['status']:9} type={s['type']:9} issues={s['issues'][:4]}\")\nprint(\"\\nOTHER SINGLES (non-hub, non-mango)\")\nfor s in d['singles']:\n if not s['path'].startswith(('research/hub/','research/mango/')):\n print(f\"{s['path']:75} lines={s['lines']:5} created={s['created']['date']} status={s['status']}\")\nprint(\"\\nEXPERIMENTS\")\nfor e in d['experiments']:\n print(f\"{e['path']:55} files={e['files']} py={e['scripts']} json={e['datasets']} log={e['logs']} created={e['created']['date']}\")\nEOF" | |
| [2026-08-11T19:26:25.128Z] [INFO] }, | |
| [2026-08-11T19:26:25.128Z] [INFO] "caller": { | |
| [2026-08-11T19:26:25.128Z] [INFO] "type": "direct" | |
| [2026-08-11T19:26:25.128Z] [INFO] } | |
| [2026-08-11T19:26:25.128Z] [INFO] } | |
| [2026-08-11T19:26:25.128Z] [INFO] ], | |
| [2026-08-11T19:26:25.128Z] [INFO] "stop_reason": null, | |
| [2026-08-11T19:26:25.128Z] [INFO] "stop_sequence": null, | |
| [2026-08-11T19:26:25.128Z] [INFO] "stop_details": null, | |
| [2026-08-11T19:26:25.128Z] [INFO] "usage": { | |
| [2026-08-11T19:26:25.128Z] [INFO] "input_tokens": 2, | |
| [2026-08-11T19:26:25.128Z] [INFO] "cache_creation_input_tokens": 377, | |
| [2026-08-11T19:26:25.128Z] [INFO] "cache_read_input_tokens": 93673, | |
| [2026-08-11T19:26:25.128Z] [INFO] "cache_creation": { | |
| [2026-08-11T19:26:25.128Z] [INFO] "ephemeral_5m_input_tokens": 0, | |
| [2026-08-11T19:26:25.128Z] [INFO] "ephemeral_1h_input_tokens": 377 | |
| [2026-08-11T19:26:25.128Z] [INFO] }, | |
| [2026-08-11T19:26:25.128Z] [INFO] "output_tokens": 4, | |
| [2026-08-11T19:26:25.128Z] [INFO] "service_tier": "standard", | |
| [2026-08-11T19:26:25.128Z] [INFO] "inference_geo": "not_available" | |
| [2026-08-11T19:26:25.128Z] [INFO] }, | |
| [2026-08-11T19:26:25.128Z] [INFO] "diagnostics": null, | |
| [2026-08-11T19:26:25.128Z] [INFO] "context_management": null | |
| [2026-08-11T19:26:25.128Z] [INFO] }, | |
| [2026-08-11T19:26:25.128Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:26:25.128Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:26:25.128Z] [INFO] "uuid": "a3e56cd3-9d33-4625-9ca3-8e359ce807dc", | |
| [2026-08-11T19:26:25.128Z] [INFO] "timestamp": "2026-08-11T19:26:25.124Z", | |
| [2026-08-11T19:26:25.128Z] [INFO] "request_id": "req_011CdwWZt1kBoueJADpT5D1f" | |
| [2026-08-11T19:26:25.128Z] [INFO] } | |
| [2026-08-11T19:26:28.193Z] [INFO] { | |
| [2026-08-11T19:26:28.193Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:28.193Z] [INFO] "subtype": "task_started", | |
| [2026-08-11T19:26:28.193Z] [INFO] "task_id": "bll0a8qk0", | |
| [2026-08-11T19:26:28.193Z] [INFO] "tool_use_id": "toolu_01VWmFZdWDEztt8TByMgDUP4", | |
| [2026-08-11T19:26:28.193Z] [INFO] "description": "python3 - <<'EOF'\nimport json\nd=json.load(open('research/hub/exp/research-methodology-validation-499/research-inventory.json'))\nprint(\"MODULES\")\nfor m in d['modules']:\n print(f\"{m['domain']:38} files={m['module_files']} lines={m['total_lines']:5} created={m['created']['date']} issues={m['issues']} statuses={m['statuses']} extra={m['extra_files']}\")\nprint(\"\\nHUB SINGLES\")\nfor s in d['singles']:\n if s['path'].startswith('research/hub/'):\n print(f\"{s['path'].split('/')[-1]:62} lines={s['lines']:5} created={s['created']['date']} status={s['status']:9} type={s['type']:9} issues={s['issues'][:4]}\")\nprint(\"\\nOTHER SINGLES (non-hub, non-mango)\")\nfor s in d['singles']:\n if not s['path'].startswith(('research/hub/','research/mango/')):\n print(f\"{s['path']:75} lines={s['lines']:5} created={s['created']['date']} status={s['status']}\")\nprint(\"\\nEXPERIMENTS\")\nfor e in d['experiments']:\n print(f\"{e['path']:55} files={e['files']} py={e['scripts']} json={e['datasets']} log={e['logs']} created={e['created']['date']}\")\nEOF", | |
| [2026-08-11T19:26:28.193Z] [INFO] "task_type": "local_bash", | |
| [2026-08-11T19:26:28.193Z] [INFO] "uuid": "a1bb49f6-e7a2-4dda-9399-f2442c6cdb31", | |
| [2026-08-11T19:26:28.193Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:28.193Z] [INFO] } | |
| [2026-08-11T19:26:28.461Z] [INFO] { | |
| [2026-08-11T19:26:28.461Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:28.461Z] [INFO] "subtype": "task_notification", | |
| [2026-08-11T19:26:28.461Z] [INFO] "task_id": "bll0a8qk0", | |
| [2026-08-11T19:26:28.461Z] [INFO] "tool_use_id": "toolu_01VWmFZdWDEztt8TByMgDUP4", | |
| [2026-08-11T19:26:28.461Z] [INFO] "status": "completed", | |
| [2026-08-11T19:26:28.461Z] [INFO] "output_file": "", | |
| [2026-08-11T19:26:28.461Z] [INFO] "summary": "python3 - <<'EOF'\nimport json\nd=json.load(open('research/hub/exp/research-methodology-validation-499/research-inventory.json'))\nprint(\"MODULES\")\nfor m in d['modules']:\n print(f\"{m['domain']:38} files={m['module_files']} lines={m['total_lines']:5} created={m['created']['date']} issues={m['issues']} statuses={m['statuses']} extra={m['extra_files']}\")\nprint(\"\\nHUB SINGLES\")\nfor s in d['singles']:\n if s['path'].startswith('research/hub/'):\n print(f\"{s['path'].split('/')[-1]:62} lines={s['lines']:5} created={s['created']['date']} status={s['status']:9} type={s['type']:9} issues={s['issues'][:4]}\")\nprint(\"\\nOTHER SINGLES (non-hub, non-mango)\")\nfor s in d['singles']:\n if not s['path'].startswith(('research/hub/','research/mango/')):\n print(f\"{s['path']:75} lines={s['lines']:5} created={s['created']['date']} status={s['status']}\")\nprint(\"\\nEXPERIMENTS\")\nfor e in d['experiments']:\n print(f\"{e['path']:55} files={e['files']} py={e['scripts']} json={e['datasets']} log={e['logs']} created={e['created']['date']}\")\nEOF", | |
| [2026-08-11T19:26:28.461Z] [INFO] "uuid": "0edd8629-9739-4704-b111-dbb0ff56b738", | |
| [2026-08-11T19:26:28.461Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:28.461Z] [INFO] } | |
| [2026-08-11T19:26:28.487Z] [INFO] { | |
| [2026-08-11T19:26:28.487Z] [INFO] "type": "user", | |
| [2026-08-11T19:26:28.487Z] [INFO] "message": { | |
| [2026-08-11T19:26:28.487Z] [INFO] "role": "user", | |
| [2026-08-11T19:26:28.487Z] [INFO] "content": [ | |
| [2026-08-11T19:26:28.487Z] [INFO] { | |
| [2026-08-11T19:26:28.487Z] [INFO] "tool_use_id": "toolu_01VWmFZdWDEztt8TByMgDUP4", | |
| [2026-08-11T19:26:28.487Z] [INFO] "type": "tool_result", | |
| [2026-08-11T19:26:28.487Z] [INFO] "content": "MODULES\nevaluation files=6 lines= 499 created=2026-08-08 issues=[] statuses=['draft'] extra=['research/ai-education/evaluation/2026-08-11-source-intelligence-evals-contract.md']\ninformation-extraction-graph-modeling files=6 lines= 1202 created=2026-08-06 issues=['471'] statuses=['draft'] extra=[]\nmemory files=6 lines= 1915 created=2026-07-31 issues=['437', '457', '459'] statuses=['draft'] extra=[]\nmulti-agent-orchestration files=6 lines= 893 created=2026-08-11 issues=['35'] statuses=['draft'] extra=[]\nobservability files=6 lines= 983 created=2026-08-11 issues=[] statuses=['draft'] extra=[]\nretrieval files=6 lines= 2176 created=2026-07-17 issues=['418', '437'] statuses=['draft'] extra=[]\ntask-processing files=6 lines= 1493 created=2026-07-30 issues=['437', '457'] statuses=['draft'] extra=[]\ntool-use files=6 lines= 771 created=2026-08-11 issues=[] statuses=['draft'] extra=[]\n\nHUB 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| [2026-08-11T19:26:29.962Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:26:29.964Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:26:29.967Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.03", | |
| [2026-08-11T19:26:29.970Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:26:29.974Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:26:29.979Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:26:29.982Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:26:29.984Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:26:29.985Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:26:29.989Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:26:29.998Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:26:30.000Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:26:30.003Z] [STDOUT] "cf-ray": "a299a1d44ea265d6-FRA", | |
| [2026-08-11T19:26:30.007Z] [STDOUT] connection: "keep-alive", | |
| [2026-08-11T19:26:30.010Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:26:30.015Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:26:30.018Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:26:30.040Z] [STDOUT] date: "Tue, 11 Aug 2026 19:26:29 GMT", | |
| [2026-08-11T19:26:30.043Z] [STDOUT] "request-id": "req_011CdwWab8Wt8Zw33AH1vtPP", | |
| [2026-08-11T19:26:30.046Z] [STDOUT] server: "cloudflare", | |
| [2026-08-11T19:26:30.051Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:26:30.057Z] [STDOUT] traceresponse: "00-d1c1c2c0873ce9263bb37fd7eb4abaa4-b0ed961ad0c984a6-01", | |
| [2026-08-11T19:26:30.065Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:26:30.070Z] [STDOUT] vary: "Accept-Encoding", | |
| [2026-08-11T19:26:30.076Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:26:30.081Z] [STDOUT] }, | |
| [2026-08-11T19:26:30.085Z] [STDOUT] durationMs: 1394, | |
| [2026-08-11T19:26:30.088Z] [STDOUT] } | |
| [2026-08-11T19:26:30.092Z] [STDOUT] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-08-11T19:26:30.100Z] [STDOUT] "date": "Tue, 11 Aug 2026 19:26:29 GMT", | |
| [2026-08-11T19:26:30.103Z] [STDOUT] "content-type": "text/event-stream; charset=utf-8", | |
| [2026-08-11T19:26:30.106Z] [STDOUT] "transfer-encoding": "chunked", | |
| [2026-08-11T19:26:30.107Z] [STDOUT] "connection": "keep-alive", | |
| [2026-08-11T19:26:30.109Z] [STDOUT] "cache-control": "no-cache", | |
| [2026-08-11T19:26:30.112Z] [STDOUT] "strict-transport-security": "max-age=31536000; includeSubDomains; preload", | |
| [2026-08-11T19:26:30.114Z] [STDOUT] "content-encoding": "gzip", | |
| [2026-08-11T19:26:30.119Z] [STDOUT] "vary": "Accept-Encoding", | |
| [2026-08-11T19:26:30.123Z] [STDOUT] "content-security-policy": "default-src 'none'; frame-ancestors 'none'", | |
| [2026-08-11T19:26:30.125Z] [STDOUT] "anthropic-ratelimit-unified-status": "allowed", | |
| [2026-08-11T19:26:30.130Z] [STDOUT] "anthropic-ratelimit-unified-5h-status": "allowed", | |
| [2026-08-11T19:26:30.135Z] [STDOUT] "anthropic-ratelimit-unified-5h-reset": "1786485600", | |
| [2026-08-11T19:26:30.141Z] [STDOUT] "anthropic-ratelimit-unified-5h-utilization": "0.02", | |
| [2026-08-11T19:26:30.147Z] [STDOUT] "anthropic-ratelimit-unified-7d-status": "allowed", | |
| [2026-08-11T19:26:30.151Z] [STDOUT] "anthropic-ratelimit-unified-7d-reset": "1787050800", | |
| [2026-08-11T19:26:30.153Z] [STDOUT] "anthropic-ratelimit-unified-7d-utilization": "0.03", | |
| [2026-08-11T19:26:30.156Z] [STDOUT] "anthropic-ratelimit-unified-representative-claim": "five_hour", | |
| [2026-08-11T19:26:30.159Z] [STDOUT] "anthropic-ratelimit-unified-fallback-percentage": "0.5", | |
| [2026-08-11T19:26:30.160Z] [STDOUT] "anthropic-ratelimit-unified-reset": "1786485600", | |
| [2026-08-11T19:26:30.162Z] [STDOUT] "anthropic-ratelimit-unified-overage-disabled-reason": "org_level_disabled", | |
| [2026-08-11T19:26:30.166Z] [STDOUT] "anthropic-ratelimit-unified-overage-status": "rejected", | |
| [2026-08-11T19:26:30.172Z] [STDOUT] "request-id": "req_011CdwWab8Wt8Zw33AH1vtPP", | |
| [2026-08-11T19:26:30.176Z] [STDOUT] "anthropic-organization-id": "ebc2ac93-f86f-4d15-aff3-de8830d8d789", | |
| [2026-08-11T19:26:30.179Z] [STDOUT] "anthropic-workspace-id": "wrkspc_0117gBnPr68DBsCrmom3Bxq6", | |
| [2026-08-11T19:26:30.182Z] [STDOUT] "traceresponse": "00-d1c1c2c0873ce9263bb37fd7eb4abaa4-b0ed961ad0c984a6-01", | |
| [2026-08-11T19:26:30.185Z] [STDOUT] "server": "cloudflare", | |
| [2026-08-11T19:26:30.212Z] [STDOUT] "cf-cache-status": "DYNAMIC", | |
| [2026-08-11T19:26:30.226Z] [STDOUT] "x-robots-tag": "none", | |
| [2026-08-11T19:26:30.233Z] [STDOUT] "cf-ray": "a299a1d44ea265d6-FRA", | |
| [2026-08-11T19:26:30.236Z] [STDOUT] } ReadableStream { locked: false, state: 'readable', supportsBYOB: false } | |
| [2026-08-11T19:26:30.244Z] [STDOUT] [log_64595c] response parsed { | |
| [2026-08-11T19:26:30.249Z] [STDOUT] url: "https://api.anthropic.com/v1/messages?beta=true", | |
| [2026-08-11T19:26:30.252Z] [STDOUT] status: 200, | |
| [2026-08-11T19:26:30.255Z] [STDOUT] body: ste { | |
| [2026-08-11T19:26:30.264Z] [STDOUT] iterator: [AsyncGeneratorFunction: i], | |
| [2026-08-11T19:26:30.267Z] [STDOUT] controller: AbortController { | |
| [2026-08-11T19:26:30.269Z] [STDOUT] signal: [AbortSignal ...], | |
| [2026-08-11T19:26:30.274Z] [STDOUT] abort: [Function: abort], | |
| [2026-08-11T19:26:30.279Z] [STDOUT] }, | |
| [2026-08-11T19:26:30.282Z] [STDOUT] [Symbol(Symbol.asyncIterator)]: [Function], | |
| [2026-08-11T19:26:30.285Z] [STDOUT] tee: [Function: tee], | |
| [2026-08-11T19:26:30.291Z] [STDOUT] toReadableStream: [Function: toReadableStream], | |
| [2026-08-11T19:26:30.295Z] [STDOUT] }, | |
| [2026-08-11T19:26:30.298Z] [STDOUT] durationMs: 1398, | |
| [2026-08-11T19:26:30.302Z] [STDOUT] } | |
| [2026-08-11T19:26:30.736Z] [INFO] { | |
| [2026-08-11T19:26:30.736Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:30.736Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:30.736Z] [INFO] "estimated_tokens": 50, | |
| [2026-08-11T19:26:30.736Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:30.736Z] [INFO] "uuid": "2b043620-7340-4202-90f5-b38a466daf9d", | |
| [2026-08-11T19:26:30.736Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:30.736Z] [INFO] } | |
| [2026-08-11T19:26:32.168Z] [INFO] { | |
| [2026-08-11T19:26:32.168Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:32.168Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:32.168Z] [INFO] "estimated_tokens": 100, | |
| [2026-08-11T19:26:32.168Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:32.168Z] [INFO] "uuid": "1465b71f-2d76-41cf-9265-fef3e54d447a", | |
| [2026-08-11T19:26:32.168Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:32.168Z] [INFO] } | |
| [2026-08-11T19:26:33.554Z] [INFO] { | |
| [2026-08-11T19:26:33.554Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:33.554Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:33.554Z] [INFO] "estimated_tokens": 200, | |
| [2026-08-11T19:26:33.554Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:33.554Z] [INFO] "uuid": "cc9ba563-7aae-40ff-8423-ebacb9e5ed02", | |
| [2026-08-11T19:26:33.554Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:33.554Z] [INFO] } | |
| [2026-08-11T19:26:34.989Z] [INFO] { | |
| [2026-08-11T19:26:34.989Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:34.989Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:34.989Z] [INFO] "estimated_tokens": 250, | |
| [2026-08-11T19:26:34.989Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:34.989Z] [INFO] "uuid": "e208c085-7d46-40d2-a30c-25ca145c94b5", | |
| [2026-08-11T19:26:34.989Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:34.989Z] [INFO] } | |
| [2026-08-11T19:26:36.438Z] [INFO] { | |
| [2026-08-11T19:26:36.438Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:36.438Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:36.438Z] [INFO] "estimated_tokens": 350, | |
| [2026-08-11T19:26:36.438Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:36.438Z] [INFO] "uuid": "599624ca-e911-439b-abeb-687f2734d37a", | |
| [2026-08-11T19:26:36.438Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:36.438Z] [INFO] } | |
| [2026-08-11T19:26:37.795Z] [INFO] { | |
| [2026-08-11T19:26:37.795Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:37.795Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:37.795Z] [INFO] "estimated_tokens": 450, | |
| [2026-08-11T19:26:37.795Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:37.795Z] [INFO] "uuid": "ae146af5-c287-4529-b4d0-3e91b35942c7", | |
| [2026-08-11T19:26:37.795Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:37.795Z] [INFO] } | |
| [2026-08-11T19:26:39.210Z] [INFO] { | |
| [2026-08-11T19:26:39.210Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:39.210Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:39.210Z] [INFO] "estimated_tokens": 550, | |
| [2026-08-11T19:26:39.210Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:39.210Z] [INFO] "uuid": "9b49e7db-2893-4a81-8242-2f805ba98ece", | |
| [2026-08-11T19:26:39.210Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:39.210Z] [INFO] } | |
| [2026-08-11T19:26:40.620Z] [INFO] { | |
| [2026-08-11T19:26:40.620Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:40.620Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:40.620Z] [INFO] "estimated_tokens": 650, | |
| [2026-08-11T19:26:40.620Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:40.620Z] [INFO] "uuid": "cf81eb8e-b791-4320-bdde-b06c1a702a71", | |
| [2026-08-11T19:26:40.620Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:40.620Z] [INFO] } | |
| [2026-08-11T19:26:42.040Z] [INFO] { | |
| [2026-08-11T19:26:42.040Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:42.040Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:42.040Z] [INFO] "estimated_tokens": 750, | |
| [2026-08-11T19:26:42.040Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:42.040Z] [INFO] "uuid": "fd93251f-e1a7-4c84-a54c-4779075cd897", | |
| [2026-08-11T19:26:42.040Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:42.040Z] [INFO] } | |
| [2026-08-11T19:26:43.496Z] [INFO] { | |
| [2026-08-11T19:26:43.496Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:43.496Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:43.496Z] [INFO] "estimated_tokens": 800, | |
| [2026-08-11T19:26:43.496Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:43.496Z] [INFO] "uuid": "794b1a92-52ad-492c-a49e-99b9f060af76", | |
| [2026-08-11T19:26:43.496Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:43.496Z] [INFO] } | |
| [2026-08-11T19:26:44.856Z] [INFO] { | |
| [2026-08-11T19:26:44.856Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:44.856Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:44.856Z] [INFO] "estimated_tokens": 950, | |
| [2026-08-11T19:26:44.856Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:44.856Z] [INFO] "uuid": "d7548ffe-e3d8-4a0c-92c3-7e5dd339a0ef", | |
| [2026-08-11T19:26:44.856Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:44.856Z] [INFO] } | |
| [2026-08-11T19:26:46.275Z] [INFO] { | |
| [2026-08-11T19:26:46.275Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:46.275Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:46.275Z] [INFO] "estimated_tokens": 1050, | |
| [2026-08-11T19:26:46.275Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:46.275Z] [INFO] "uuid": "d23b9b7e-7f87-498c-a283-252dda3f6e2b", | |
| [2026-08-11T19:26:46.275Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:46.275Z] [INFO] } | |
| [2026-08-11T19:26:47.679Z] [INFO] { | |
| [2026-08-11T19:26:47.679Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:47.679Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:47.679Z] [INFO] "estimated_tokens": 1150, | |
| [2026-08-11T19:26:47.679Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:47.679Z] [INFO] "uuid": "c401dd70-cd3c-4c2c-a755-ac1aa5074a5c", | |
| [2026-08-11T19:26:47.679Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:47.679Z] [INFO] } | |
| [2026-08-11T19:26:49.091Z] [INFO] { | |
| [2026-08-11T19:26:49.091Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:49.091Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:49.091Z] [INFO] "estimated_tokens": 1250, | |
| [2026-08-11T19:26:49.091Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:49.091Z] [INFO] "uuid": "1cf4fec0-a6bd-4e64-bbf5-8f93458b9522", | |
| [2026-08-11T19:26:49.091Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:49.091Z] [INFO] } | |
| [2026-08-11T19:26:50.502Z] [INFO] { | |
| [2026-08-11T19:26:50.502Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:50.502Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:50.502Z] [INFO] "estimated_tokens": 1300, | |
| [2026-08-11T19:26:50.502Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:50.502Z] [INFO] "uuid": "323ebfab-c26e-4d9c-a2f9-67826a9cb3f9", | |
| [2026-08-11T19:26:50.502Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:50.502Z] [INFO] } | |
| [2026-08-11T19:26:51.929Z] [INFO] { | |
| [2026-08-11T19:26:51.929Z] [INFO] "type": "system", | |
| [2026-08-11T19:26:51.929Z] [INFO] "subtype": "thinking_tokens", | |
| [2026-08-11T19:26:51.929Z] [INFO] "estimated_tokens": 1400, | |
| [2026-08-11T19:26:51.929Z] [INFO] "estimated_tokens_delta": [REDACTED], | |
| [2026-08-11T19:26:51.929Z] [INFO] "uuid": "f6cbba2c-695c-4f51-9c78-114a28de1887", | |
| [2026-08-11T19:26:51.929Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057" | |
| [2026-08-11T19:26:51.929Z] [INFO] } | |
| [2026-08-11T19:26:51.968Z] [INFO] { | |
| [2026-08-11T19:26:51.968Z] [INFO] "type": "assistant", | |
| [2026-08-11T19:26:51.968Z] [INFO] "message": { | |
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| [2026-08-11T19:26:56.093Z] [INFO] "type": "tool_result", | |
| [2026-08-11T19:26:56.093Z] [INFO] "content": "268:Спринт закрывается, когда ADR B-079 принят, план миграции B-080 составлен,\n269:оба репозитория созданы (B-081, B-082), артефакты мигрированы (B-083), а\n270:синхронизация настроена и протестирована (B-084).\n275:| **B-080** | План миграции Mango | **P2** | B-079 | DONE | [#436](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/436) / [PR #442](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/442) / [PR #447](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/447) | ADR-009 (B-079); issues #411, #413, #446; снимок `mango_ba_prompts@295b65d` | Детальный план миграции построен на фактическом снимке: правила классификации и обезличивания, таблица маршрутизации, фазы и риски. PR #447 зафиксировал решение Q2: всё дерево `kb/` переносится в приватный репозиторий; до B-083 остаётся закрыть Q1 о фактической публичности исходного репозитория. | Hybrid |\n276:| **B-081** | Создание публичного репо `ai-ba-playbooks` | **P2** | B-079, B-080 | TODO | - (planned) | ADR B-079; план миграции B-080; issues #411, #413 | Создать публичный репозиторий `ai-ba-playbooks` с базовой структурой архетипа B (`prompt-library/`, `patterns/`, `standards/`, `examples/`, `docs/`, `templates/`) и настроить GitHub Pages для презентационного слоя. | Structured |\n277:| **B-082** | Создание приватного репо `mango-ba-prompt-library` | **P2** | B-079, B-080 | TODO | - (planned) | ADR B-079; план миграции B-080; issues #411, #413, #446 | Создать приватный репозиторий `mango-ba-prompt-library` со структурой операционки (`prompts/`, полное дерево `kb/`, `runs/`, `evals/`, `internal-rfc/`, `internal-docs/`) и настроить локальные валидаторы без GitHub Actions. | Structured |\n278:| **B-083** | Физическая миграция артефактов из `mango_ba_prompts` | **P2** | B-081, B-082 | TODO | - (planned) | План миграции B-080; issues #411, #413 | Перенести артефакты из `mango_ba_prompts` в новые репозитории согласно плану миграции B-080, обновить ссылки и реестры, прогнать валидаторы. | Structured |\n279:| **B-084** | Синхронизация и тестирование | **P2** | B-083 | TODO | - (planned) | ADR B-079; issues #411, #413 | Настроить одностороннюю синхронизацию приватный → публичный (ручной отбор на старте), протестировать workflow и задокументировать lessons learned. | Structured |\n298:Спринт закрывается, когда исследование B-085 принято фаундером и RFC-F получил\n303:| **B-085** | Исследование retrieval-стратегий для AI-агентов | **P2** | - | review | [#418](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418) | Issue #418 (постановка фаундера, гипотезы H1–H7); глобальный анализ v0.4 §15.1.4, §15.1.6, §15.2.5 (RFC-F) | Научно-теоретическое исследование retrieval-стратегий реализовано как модуль [`research/ai-education/retrieval/`](../research/ai-education/retrieval/) из шести файлов и [RFC Reference Research Pattern](../docs/rfc/2026-07-17-rfc-reference-research-pattern.md) со статусом паттерна `Experimental`. Модуль включает research questions, Conceptual Framing и формальную сигнатуру `S = Decision(KB, Query, Constraints)`, объектную модель, граф зависимостей, 9 точек решений, 20 гипотез с ранжированием; таксономии БЗ/запросов/стратегий, матрицу «БЗ × Запрос → Стратегия», chunking/embeddings/reranking/evaluation, уровни готовности БЗ L0–L5; индустриальные кейсы, тренды 2024–2026, связь с памятью агента и вход для RFC-F. Исходный монолит помечен `superseded` и результатом B-085 больше не является. | Creative |\n304:| **B-086** | Валидация шкалы готовности БЗ L0–L5 на реальных корпусах | **P3** | B-085 | TODO | - (planned) | Исследование B-085, §26.2 (признанная слабость: пороги не измерены) | Проверить шкалу L0–L5 на ≥3 реальных корпусах: воспроизводимы ли шесть признаков без построения индекса, различают ли пороги (95%/80%) уровни на практике, предсказывает ли уровень применимость стратегий. Условие перевода B-085 в `reviewed`. | Structured |\n305:| **B-087** | Исследование самоотравления памяти агента | **P3** | B-085 | TODO | - (planned) | Исследование B-085, §19.2 (открытый вопрос О5) | Когда агент пишет в тот же корпус, из которого читает, возникает класс дефекта, не ловимый ни одной метрикой оценки RAG: faithfulness к самозаписанному контексту высока. Исследовать механизмы разделения пространств «знание человека» / «знание агента» и их различения при извлечении. | Creative |\n331:| **B-089** | Зафиксировать модель зрелости Reference Pattern | **P1** | B-085 | DONE | [#437](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437) / [PR #443](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/443) | Ревью Retrieval и методологическое обсуждение 2026-07-16 | Градация `Discussion Paper → Reference Pattern (Experimental) → Experimental RFC → RFC → Standard` зафиксирована в RFC Reference Research Pattern. Статус паттерна — `Experimental`; критерий продвижения — проверка минимум в трёх независимых доменах. Монолит B-085 реорганизован в модульный retrieval-корпус без потери содержания. | Hybrid |\n332:| **B-090** | Разделить Research Method и Domain Methodology | **P1** | B-089 | DONE | [PR #464](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/464) | Ревью Retrieval и методологическое обсуждение 2026-07-16 | Явно разделить в документации Хаба Research Method — как исследуем (`Theory → Taxonomy → Decision Framework → Practice`) — и Domain Methodology — как устроен объект (`Conceptual Framing → Object Model → Decision Space`). Заменить термин `Mental Model` на `Conceptual Framing`. | Structured |\n333:| **B-092** | Исследование промышленных практик агентного исполнения задач | **P1** | B-089 | review | [#457](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457) | Issue #457 (постановка фаундера, гипотеза о мандате) | Вторая валидация Reference Research Pattern — на домене agentic task execution. Модуль [`research/ai-education/task-processing/`](../research/ai-education/task-processing/00-introduction.md) из шести файлов: сигнатура `A = Policy(M, S, T, C)`, объектная модель E1–E12, точки решений D1–D10, гипотезы H1–H16; таксономии мандатов M0–M5, подходов к планированию P0–P7 и механизмов контроля G1–G7; матрица «мандат × цена ошибки», правило размещения guardrail по обратимости, шкала автономии A0–A5; индустриальная практика (LangChain, OpenAI Agents SDK, MCP, CrewAI, AutoGen, OTel GenAI, MAST) и описательный разбор прецедентов #454/#456. Без внедрения правил и без RFC — по ограничениям постановки. | Creative |\n334:| **B-093** | RFC по архитектуре постановки задач для AI-агентов | **P2** | B-092 | review | [PR #470](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/470) | Issue #457 (явное вынесение RFC в отдельную задачу) | На фактической базе B-092 подготовлен [RFC об архитектуре постановки задач для AI-агентов](../docs/rfc/2026-08-06-rfc-task-statement-architecture.md). Следствия RFC остаются в статусе `experimental` до проспективного замера эффекта (B-095). | Creative |\n344:| **B-088** | Зафиксировать многоуровневую иерархию SSOT (ADR vs Стандарт) | **P3** | - | deferred (triggered) | - (tech debt) | Обсуждение 2026-07-16; B-050 v0.2 §2; [issue #427](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/427) | Текущая формулировка «ADR имеет приоритет» слишком общая. Необходимо чётко разграничить компетенции: ADR = SSOT для решений, Стандарт = SSOT для исполнения. Задача стартует **только** при появлении боли: повторяющиеся конфликты между свежим ADR и устоявшейся практикой в стандарте. | Creative |\n345:| **B-091** | Проверить Reference Pattern на не-AI доменах | **P2** | B-089, B-090 | deferred (triggered) | - (deferred) | Ревью Retrieval и методологическое обсуждение 2026-07-16 | Проверить гипотезу Reference Pattern за пределами AI на Business Analysis, Requirements Engineering и Prompt Engineering. Запускать только после успешной валидации на Memory и Agents. | Creative |\n346:| **B-094** | Knowledge Integrity Auditor — агент периодического аудита целостности знаний | **P2** | - | deferred (regular) | [#475](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/475) | Согласование ОПС с фаундером (RFC [#470](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/470)) | Регулярная задача вне спринтов: автономный агент по расписанию сканирует исторические документы (RFC, ADR) на упоминания дефектов и проверяет, устранены ли они в замерженных PR; добавляет блок `Status Update` со ссылкой на закрывающий PR. Триггер автоматизации — явная боль от ручного аудита; до неё задача не автоматизируется. | Structured |\n347:| **B-095** | Проспективный замер эффекта RFC #470 | **P2** | B-093 | deferred (regular) | [#475](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/475) | RFC [#470](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/470); [валидация стратегии постановки задач](../research/hub/2026-07-31-ops-task-strategy-validation.md); PR [#462](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/462) | Регулярная задача вне спринтов, запуск через 3 месяца после внедрения RFC #470: повторный прогон скриптов из `research/hub/exp/ops-task-strategy-461/` для измерения доли непродуктивных PR, `contract_score` и доли PR-с-вопросами. Основание для перевода следствий RFC в canonical или их корректировки. | Structured |\n348:| **B-096** | Создание инструкции по меткам GitHub | **P3** | - | deferred (triggered) | [#475](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/475) | Согласование ОПС с фаундером; PR [#467](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/467) | Документировать допустимые метки (`no-diff-expected`, `needs-human-decision`, `incomplete-dod` и другие) как часть общей инструкции по Хабу, чтобы пользователи не забывали, какие метки можно использовать. Триггер — повторяющиеся ошибки в разметке issues/PR. | Structured |\n349:| **B-097** | Автоматизация переноса неактивных PR-с-вопросами в `pr-ops/backlog.md` | **P3** | B-096 | deferred (triggered) | [#475](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/475) | Согласование ОПС с фаундером; RFC [#470](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/470) | Скрипт, который по расписанию или триггеру находит PR с меткой `needs-human-decision` старше N дней, переносит описание вопроса в `backlog.md` и закрывает PR с комментарием. Запуск по запросу; не автоматизировать до явной боли от ручного разбора зависших PR. | Structured |\n364:| Issue [#411](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/411) / [#413](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/413) (обсуждение 2026-07-10, решение фаундера) | Источник задач B-079..B-084 (Спринт 8): разделение Mango на публичный `ai-ba-playbooks` и приватный `mango-ba-prompt-library` репозитории. |\n365:| Issue [#418](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/418) (постановка фаундера) | Источник задач B-085..B-087 (Спринт 9): научно-теоретическое исследование retrieval-стратегий как вход для RFC-F и теоретическая основа образовательного модуля. |\n366:| Issue [#427](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/427) (обсуждение 2026-07-16; B-050 v0.2 §2) | Источник triggered-задачи B-088: разграничение ADR как SSOT для решений и Стандарта как SSOT для исполнения только после появления повторяющейся операционной боли. |\n367:| Issue [#437](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/437) и методологическое обсуждение 2026-07-16 | Источник задач B-089..B-091 (Спринт 10): модель зрелости Reference Pattern, разделение Research Method и Domain Methodology, валидация на не-AI доменах. |\n368:| Issue [#457](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/457) (постановка фаундера) | Источник задач B-092..B-093: исследование промышленных практик агентного исполнения задач как вторая валидация Reference Research Pattern и фактическая база для будущего RFC по архитектуре постановки задач. |\n369:| [docs/rfc/2026-08-06-rfc-task-statement-architecture.md](../docs/rfc/2026-08-06-rfc-task-statement-architecture.md) (RFC [#470](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/470)) | Источник задач ОПС B-094..B-097 и статуса B-093: архитектура постановки задач для AI-агентов, следствия которой требуют проспективного замера эффекта. |\n370:| Issue [#466](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/466) и PR [#467](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/467) | Источник обновления правил работы агентов (`ai-rules/`) и практики разметки артефактов ОПС: вход для B-096 (инструкция по меткам GitHub). |\n=== file-naming ===\n75: local expected_format=\"$3\"\n87: fail \"chronological markdown file must use $expected_format: $file\"\n94: local expected_format=\"$3\"\n99: validate_file \"$file\" \"$predicate\" \"$expected_format\"\n115:# Evidence files under the canonical exp/<issue-slug>/ container are snapshots,", | |
| [2026-08-11T19:26:56.093Z] [INFO] "is_error": false | |
| [2026-08-11T19:26:56.093Z] [INFO] } | |
| [2026-08-11T19:26:56.093Z] [INFO] ] | |
| [2026-08-11T19:26:56.093Z] [INFO] }, | |
| [2026-08-11T19:26:56.093Z] [INFO] "parent_tool_use_id": null, | |
| [2026-08-11T19:26:56.093Z] [INFO] "session_id": "2a4f3009-e5e1-4cbe-97f1-121f1b8e3057", | |
| [2026-08-11T19:26:56.093Z] [INFO] "uuid": "cec8e3ed-1e6d-419b-bed3-4c241f14df40", | |
| [2026-08-11T19:26:56.093Z] [INFO] "timestamp": "2026-08-11T19:26:56.083Z", | |
| [2026-08-11T19:26:56.093Z] [INFO] "tool_use_result": { | |
| [2026-08-11T19:26:56.093Z] [INFO] "stdout": "268:Спринт закрывается, когда ADR B-079 принят, план миграции B-080 составлен,\n269:оба репозитория созданы (B-081, B-082), артефакты мигрированы (B-083), а\n270:синхронизация настроена и протестирована (B-084).\n275:| **B-080** | План миграции Mango | **P2** | B-079 | DONE | [#436](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/issues/436) / [PR #442](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/442) / [PR #447](https://github.com/G-Ivan-A/hybrid-Intelligence-lab/pull/447) | ADR-009 (B-079); issues #411, #413, #446; снимок `mango_ba_prompts@295b65d` | Детальный план миграции построен на фактическом снимке: правила классификации и обезличивания, таблица маршрутизации, фазы и риски. PR #447 зафиксировал решение Q2: всё дерево `kb/` переносится в приватный репозиторий; до B-083 остаётся закрыть Q1 о фактической публичности исходного репозитория. | Hybrid |\n276:| **B-081** | Создание публичного репо `ai-ba-playbooks` | **P2** | B-079, B-080 | TODO | - (planned) | ADR B-079; план миграции B-080; issues #411, #413 | Создать публичный репозиторий `ai-ba-playbooks` с базовой структурой архетипа B (`prompt-library/`, `patterns/`, `standards/`, `examples/`, `docs/`, `templates/`) и настроить Gi |
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