What problem does it solve?
AI-assisted coding environments silently accumulate configuration drift, broken hooks, missing verifiers, and context rot across sessions. This Skill provides a systematic, budget-aware health audit that identifies misaligned layers in agent setups and AI maintainability risks before they cause wasted tokens or broken automation.
Core Features & Use Cases
- Agent Config Health: Detects instruction drift across Claude, Codex, and Pi configurations, validates hooks and MCP server setups, checks permission deny-floors, and audits skill supply-chain provenance.
- AI Maintainability Health: Audits project context surfaces, verifier coverage, hotspot ownership, broken documentation references, and concentrated TODO/FIXME markers that predict future AI coding drift.
- Tier-Aware Analysis: Adapts audit depth based on project complexity (Simple/Standard/Complex) and automatically escalates to deep audits with parallel inspector subagents when critical ambiguities or explicit deep-audit triggers are detected.
Quick Start
Use the health skill to run a summary audit of the current project's agent configuration and AI coding maintainability.