Understand an AI-agent codebase before you touch it.
Free & open · no signup · read-only — every stage ends by asking · nothing leaves your machine
First contact with an agent codebase: read its mind, its hands, its loops, its traces.
The conductor fetches each brief in turn and writes its report before moving on — later briefs can build on earlier findings. Or copy any single stage to run it alone.
4 reports in reports/, plus the run's own INDEX.md: PROMPTS.md, TOOLS.md, LOOPS.md, TRACES.md. Feed them to the optional Studio to turn findings into commits, or run 28 · Roadmap Synthesis to merge them into one plan.
Copy the conductor into your agent inside the repo you want checked. It runs each Goal Prompt in sequence, honoring each one's ask-first rule.
Every system prompt in the repo: contradictions, dead instructions, bloat, and injection surface — with a consolidation plan.
Your tools are an API whose consumer is a model — audit names, descriptions, error contracts, and guards on destructive actions.
How runs end — iteration caps, stop conditions, stuck-state detection, and the true cost of one pathological run.
Can you see why a run did what it did — per-step traces, failure taxonomy, and replaying yesterday's bad run today.