ai-audit
ai-audit is a Codebase audits & code health skill for AI agents, published by kumaran-is in the claude-code-onboarding repository on GitHub. Skillspace rates ai-audit D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Run a full AI Playbook audit against an existing agentic application or AI feature. Orchestrates Decision Record reverse-engineering, security review, eval audit, launch check, and consolidated remediation planning in one flow. Use when the user explicitly runs /ai-audit or says "audit my AI app", "verify my agent against the playbook", "is my existing AI code production-ready", "review my agentic system", or similar phrasing for verifying existing code (not building new).
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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