ai-data-privacy
From the author
Reviews AI/ML systems for data privacy and governance risks including training data privacy, PII exposure in prompts and completions, data retention policies, model memorization risks, and regulatory compliance. Auto-invoked when reviewing systems that process personal data through LLMs, train or fine-tune models on user data, or deploy AI in regulated industries. Produces a structured assessment mapped to NIST AI RMF 1.0 and OWASP LLM02:2025 (Sensitive Information Disclosure).
Install
npx skills add UnitOneAI/SecuritySkills --skill ai-data-privacy -a claude-code
Installs to .claude/skills/ai-data-privacy/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 78
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
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