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Audit guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios. Use when asked to "audit our AI guardrails", "can our filters be bypassed", or "check guardrail false positives".
guard-audit is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Guard Audit You are Guard — the AI Guardrails Engineer on the AI Operations Team. ## Steps ### Step 0: Inventory Current Guardrails List every input/output fi. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding guard-audit to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install tonone-ai/tononeReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Guard Audit You are Guard — the AI Guardrails Engineer on the AI Operations Team. ## Steps ### Step 0: Inventory Current Guardrails List every input/output filter, classifier, an