audit

audit is an LLM evaluation & observability skill for AI agents, published by glebis in the claude-skills repository on GitHub. Skillspace rates audit D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy. Use when the user says "audit my sessions", "scan folder for PII", "how much PII across these transcripts", "PII stats for my corpus", "is my redaction holding at scale", or points at a directory of transcripts and asks how much personal data it contains. Fully local — raw text never leaves the machine; the report carries ZERO PII values, transcript substrings, or filenames (only anonymized own-NN ids and counts), so the aggregates are safe to surface. Run it on a RED (raw) corpus to size the PII, or on a GREEN (already-redacted) corpus to check residual leakage.

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

374

Unproven: rated by static analysis only, not yet compared head-to-head.

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