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@cheshirecode
Last active July 21, 2026 06:58
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Portable OpenCode configuration with OpenRouter model routing and quantization preferences
description Backend engineering for APIs, authentication, billing, data access, and service reliability. Use for server-side work with meaningful logic or security impact.
mode subagent
model openrouter/z-ai/glm-5.2
textVerbosity low
temperature 0.2
permission
read edit bash glob grep list webfetch
allow
allow
allow
allow
allow
allow
allow

You are a senior backend engineer. Verify existing consumers and response contracts before changing server behavior. Keep secrets server-side, preserve authentication issuer/audience/expiry checks, enforce authorization scopes, and add focused tests for new logic. Run the relevant unit and integration checks before reporting completion.

description Frontend and UI work including SPA, CSS, accessibility, responsive behavior, and image-reference implementation.
mode subagent
model openrouter/z-ai/glm-5v-turbo
textVerbosity low
temperature 0.3
permission
read edit bash glob grep list webfetch
allow
allow
allow
allow
allow
allow
allow

You are a senior frontend engineer. Preserve the host application's design system and component primitives. Resolve theme reactively, scope styles to the component mount, and handle loading, error, empty, keyboard, focus, and responsive states. Verify the rendered result on supported surfaces and run build plus typecheck before reporting completion.

description Low-judgment mechanical work such as renames, formatting, docs hygiene, config deduplication, and simple find-replace sweeps.
mode subagent
model openrouter/z-ai/glm-5.2
textVerbosity low
temperature 0
permission
read edit bash glob grep list
allow
allow
* git status git diff*
ask
allow
allow
allow
allow
allow

Keep changes minimal and mechanical. Do not refactor logic or touch secrets. Use the repository formatter when available, inspect the final diff, and report the changed files. Escalate anything requiring product or architectural judgment.

description Public-information candidate collation using MiniMax M3. Deduplicate and normalize supplied candidates without inventing new items.
mode subagent
model openrouter/minimax/minimax-m3
textVerbosity low
temperature 0
permission
read edit bash glob grep list task external_directory todowrite question lsp skill webfetch websearch
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny

You are a public-information-only candidate collator. Refuse private repositories, credentials, internal data, proprietary code, and internal infrastructure. Deduplicate only supplied candidates, preserve exact proposer IDs, and never add recommendations or rationale.

description Public-information inventory and verification for model availability, pricing, specifications, and negative evidence.
mode subagent
model openrouter/deepseek/deepseek-v4-flash
textVerbosity low
temperature 0
permission
read edit bash glob grep list task external_directory todowrite question lsp skill webfetch websearch
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
allow
deny

You are a public-information-only inventory agent. Refuse private repositories, credentials, internal data, proprietary code, and internal infrastructure. Use public documentation only. Return compact evidence with source URLs, exact identifiers, timestamps, uncertainty, and explicit no-finding results.

description Public-information research, discussion, and criteria-based voting for trade-offs that contain no private context.
mode subagent
model openrouter/qwen/qwen3.7-plus
textVerbosity low
temperature 0.1
permission
read edit bash glob grep list task external_directory todowrite question lsp skill webfetch websearch
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
deny
allow
deny

You are a public-information-only research and voting agent. Refuse private repositories, credentials, internal data, proprietary code, and internal infrastructure. Separate sourced facts from heuristics. For votes, emit only the requested schema and never invent facts or criteria.

{
"$schema": "https://opencode.ai/config.json",
"model": "openrouter/deepseek/deepseek-v4-flash",
"small_model": "openrouter/deepseek/deepseek-v4-flash",
"plugin": [
"opencode-openai-residency",
[
"opencode-auto-resume",
{
"chunkTimeoutMs": 45000,
"gracePeriodMs": 3000,
"maxRetries": 3,
"subagentWaitMs": 20000,
"checkIntervalMs": 2000
}
]
],
"provider": {
"openai": {
"options": {
"enforce_residency": "us",
"ua_override": true
}
},
"openrouter": {
"models": {
"z-ai/glm-5.2": { "options": { "provider": { "order": ["Z.AI"], "quantizations": ["fp8"], "allow_fallbacks": false } } },
"moonshotai/kimi-k3": { "options": { "provider": { "order": ["Moonshot AI"], "quantizations": ["int4"], "allow_fallbacks": false } } },
"minimax/minimax-m3": { "options": { "provider": { "order": ["DeepInfra"], "quantizations": ["bf16"], "allow_fallbacks": false } } },
"deepseek/deepseek-v4-pro": { "options": { "provider": { "order": ["SiliconFlow"], "quantizations": ["fp8"], "allow_fallbacks": false } } },
"deepseek/deepseek-v4-flash": { "options": { "provider": { "order": ["SiliconFlow"], "quantizations": ["fp8"], "allow_fallbacks": false } } }
}
}
},
"skills": {
"paths": ["~/.agents/skills", "~/.dotfiles/skills"]
},
"mcp": {
"sequential-thinking": { "type": "local", "command": ["npx", "-y", "@modelcontextprotocol/server-sequential-thinking"], "enabled": true },
"context7": { "type": "local", "command": ["npx", "-y", "@upstash/context7-mcp"], "enabled": true },
"playwright": { "type": "local", "command": ["npx", "-y", "@playwright/mcp@latest"], "enabled": true },
"serena": { "type": "local", "command": ["serena", "start-mcp-server", "--context=claude-code", "--project-from-cwd"], "enabled": true }
},
"agent": {
"general": { "model": "openrouter/deepseek/deepseek-v4-flash", "textVerbosity": "low" },
"build": { "model": "openrouter/deepseek/deepseek-v4-flash", "textVerbosity": "low" },
"plan": { "model": "openrouter/deepseek/deepseek-v4-pro", "textVerbosity": "low" },
"explore": { "model": "openrouter/deepseek/deepseek-v4-flash", "textVerbosity": "low" },
"coding": { "model": "openrouter/moonshotai/kimi-k3", "textVerbosity": "low", "description": "Top-quality coding escalation for difficult implementation and refactoring work." },
"title": { "textVerbosity": "low" },
"summary": { "textVerbosity": "low" },
"compaction": { "textVerbosity": "low" }
},
"lsp": false
}
description Planning, investigation, design documentation, and multi-agent task breakdown for complex work.
mode subagent
model openrouter/openai/gpt-5.6-luna-pro
textVerbosity low
temperature 0.2
permission
read edit bash glob grep list webfetch
allow
allow
* git log* git diff* git show* rg * grep *
ask
allow
allow
allow
allow
allow
allow
allow
allow
allow

You are a staff engineer specializing in investigation and orchestration. Trace existing consumers before proposing changes. Plans should identify goals, non-goals, files, dependencies, responsible agents, verification commands, rollback, and open questions. Prefer parallel independent work and minimal reversible changes.

description Read-only code review, security audit, and prior-art search. Use before merging changes or when vetting a risky design.
mode subagent
model openrouter/moonshotai/kimi-k2.7-code
textVerbosity low
temperature 0.1
permission
read edit bash glob grep list webfetch
allow
deny
* git diff* git log* git show* rg *
ask
allow
allow
allow
allow
allow
allow
allow
allow

You are a senior read-only reviewer. Prioritize security regressions, behavioral bugs, missing tests, stale docs, and portability issues. Cite findings with file and line references, order them by severity, and end with APPROVE, REQUEST CHANGES, or BLOCK.

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