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Three models representing a spectrum from fully permissionless to fully managed.
The user deploys their own agent (like the CLI spike) that acts as allocation delegate for their Ymax portfolio.
name: pr-review-batch description: IronClaw maintainer PR review -- batch review open PRs against ironclaw project standards (Rust, WASM tools, dual-backend DB, security-first) triggers:
name: pr-review-batch description: IronClaw maintainer PR review -- batch review open PRs against ironclaw project standards (Rust, WASM tools, dual-backend DB, security-first) triggers:
You want an AI agent to execute trades on your behalf -- picking venues, routes, and parameters autonomously. But you need guarantees that the agent can't drain your wallet, pick a malicious venue, or cause unbounded losses.
Traditional approaches require whitelisting every program, instruction format, and parameter. This is brittle, high-maintenance, and breaks whenever a new DEX or aggregator launches.
Date: 2026-03-02 Status: Design Goal: Evaluate agent quality across real user flows -- catch regressions when code changes, measure improvements when new tools/skills are added.
A benchmark system that runs real user scenarios through the real agent loop with real LLM calls, then evaluates the resulting trajectory using two layers: