# AI Audit Planning

> - Use when scoping or commissioning a psychological audit of an AI/ML personnel assessment — to define which claims the audit will evaluate (validity, utility, lack of bias), establish the auditor's stance and credibility (internal / external / independent), decide formative vs. summative timing and the audience, and settle data/documentation access and disclosure terms. Triggers: "audit an AI hiring tool", "plan an algorithm audit", "bias audit scope", "internal vs external vs independent auditor", "formative vs summative audit", "NYC Local Law 144 bias audit", "what claims should the audit test".

## Facts
- Page: https://tashan.sh/capability/skill-openmatter-network-ai-audit-planning
- tashan id: skill:OpenMatter-Network/ai-audit-planning
- Source: https://github.com/OpenMatter-Network/agent-io-skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 71.0
- Freshness: 76.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r ai-audit-planning ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-15 by tashan (https://tashan.sh) from public evidence. Scorer s5.