Analysis

Audits an AI agent's own setup — workspace, config, memory, skills, jobs, integrations — and reports what is broken, exposed, or wasteful. Use when asked to check the system, run a health check, or diagnose the setup, or when something feels off or the agent got slow or expensive; when a token, key, or .env may be exposed in a file, config, or git history; when permissions or auto-approve rules look too broad; when a scheduled job stops firing, runs twice, or fails silently; when sessions or subagents pile up or loop; when memory files bloat, go stale, contradict, or fall out of their index; when skills collide, never activate, or point at missing files; when an integration returns 401 or 429 or goes quiet; when token spend or context size jumps; and when the same finding keeps coming back. Not for vetting third-party skill code (`skill-audit`), workspace persona and proactivity tuning (`openclaw-workspace`), application monitoring (`monitoring`), or statistical analysis of a dataset.