Conciseness

The body is dense and operational — no space is spent on concepts Claude already knows, and long passages carry non-obvious project rationale (why postToolUse never re-evaluates, why yq must not be self-installed, why the workflow fetches the base branch's copy). A few passages could still be trimmed — e.g., the ~70-word postToolUse no-op explanation and the audit mode's closing "fleet-visibility value... (Phase 4)" positioning paragraph — which keeps it at anchor 4 rather than the lean anchor 5.

Actionability

Guidance is copy-paste executable throughout: the full `.ai-governance.yaml` policy shape with per-pack deltas, complete `.github/hooks/*.json` configs, a working `jq` merge program with idempotency check, the raw-file `gh api` audit loop, and a Validation block showing exact commands with expected outputs and exit codes ("exit 2" for deny). This matches anchor 5's fully-executable, common-cases-covered standard.

Workflow Clarity

Generate is a 9-step numbered sequence with an explicit Validation block giving expected per-tier outputs, a yq presence check with stop-and-ask fallback, idempotent re-runs ("skipping the append if this exact command is already registered"), and a proactive two-stage bootstrap ordering that prescribes the fix for the known first-PR failure mode — explicit validation plus error-recovery loops, i.e. anchor 5 rather than anchor 4's "minor validation gaps".

Progressive Disclosure

References are clearly signaled ("Read `references/ai-governance.md` before responding", copy sources under `examples/ai-governance/`), but none of these files exist in the skill's bundle — no `references/`, `examples/`, `scripts/`, or `assets/` directory is present — so the mandatory pre-response read is a dangling pointer, and mode-level detail (check/audit/explain, the full jq program, policy pack variants) is inlined rather than split out. Clear signaling (an anchor-4/5 trait) combined with unverifiable references and inline-heavy placement sits at anchor 3.

Specificity

Multiple concrete actions are named: "Generate and enforce policy gates", "real-time session hooks that deny protected-path edits and dangerous commands", "plus a merge-time backstop for anything that bypasses them" — comprehensive coverage of the skill's scope (generation, real-time enforcement, merge-time enforcement), matching the anchor-5 example structure rather than the anchor-4 case which has minor gaps.

Completeness

Both halves are explicit: what ("real-time session hooks that deny protected-path edits and dangerous commands, plus a merge-time backstop") and when ("Use when asked to...") with concrete quoted trigger phrases — a direct match to the anchor-5 good example pattern, not anchor 4 where the 'when' is less specific.

Trigger Term Quality

Natural user phrasings are quoted verbatim — "govern AI agents", "block AI from touching secrets", "add an AI policy gate", and the troubleshooting trigger "why did the AI agent hook not fire" — covering request, blocking, setup, and debug utterances with synonyms, exceeding anchor 4's "good coverage, a few natural terms missing".

Distinctiveness Conflict Risk

The niche is distinct — policy gates for AI coding agents (Copilot, Claude Code) — and the triggers ("govern AI agents", "AI policy gate", "AI agent hook") are phrased around AI-agent governance specifically, so they would rarely be said for a generic security or permissions skill; clear anchor-5 territory.