Instruction QA Audit

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Performs static-analysis QA passes on AI instruction files and configuration prose to eliminate contradictions, dead logic, and unstated dependencies.

Instruction QA Audit conducts comprehensive static-analysis reviews of instruction and configuration prose, including SKILL.md files, CLAUDE.md files, global context files, and slash command templates, without touching application source code. By dispatching dedicated Opus subagents to analyze each target document in parallel, the skill identifies internal contradictions, unstated dependencies, dead instructions, and frontmatter guideline violations. It then compiles findings ranked by severity, proposes clear remediations, and waits for explicit user confirmation before applying targeted updates, ensuring your AI operational guidelines remain clean, aligned, and effective.

주요 기능

01Detection of unstated dependencies, logical contradictions, and dead logic
022 GitHub stars
03Parallel Opus subagent dispatch for deep multi-file instruction review
04Interactive review workflow with automatic sync-tool file regeneration
05Strict safety guards preventing accidental modification of application code
06Automated style guide and YAML frontmatter convention validation

사용 사례

01Reviewing project-level CLAUDE.md and global context files for conflicting instructions
02Auditing newly created or edited SKILL.md files and slash commands prior to deployment
03Running multi-file consistency checks across entire AI agent prompt and config libraries