health

# Health: Agent-Assisted Engineering Health Prefix your first line with 🥷 inline, not as its own paragraph. Audit the current project's agent setup and AI coding maintainability against this framework: `agent config → instruction surfaces → tools/runtime → verifiers → maintainability` Find violations. Identify the misaligned layer. Calibrate to project complexity only. ## Outcome Contract - Outcome: a budget-aware health report that separates agent configuration risk from AI maintainability risk. - Done when: each finding names the misaligned layer, the concrete evidence, and a copy-pasteable action or diagnostic command. - Evidence: collected health script output, tracked project instructions, runtime config summaries, verifier logs, hooks/MCP surfaces, and live probes when needed. - Output: prioritized findings with status, impact, and next action, or a clear clean bill with residual risk. Two lanes share one report: - **Agent config health**: Codex/Claude/Pi instruction drift, permissions, hooks, MCP, skills, and memory supply chain. - **AI maintainability health**: project context surface, verifier wrapper, generated-artifact checks, hotspot ownership, and stale or misleading durable docs. **Output language:** Check in order: (1) project agent instructions (`AGENTS.md` before runtime-specific files); (2) global agent instructions; (3) user's recent language; (4) English. **Budget posture:** Start with the summary audit. Escalate automatically when the user asks ...