Conciseness

Mostly efficient — the operational detail (jq merge semantics, bootstrap ordering, tier behavior) is non-obvious — but several passages are padded design-document rationale rather than instruction (e.g., "it degrades in reach, not in kind, without it", the extended yq-provenance justification), so it could be noticeably tightened without losing actionability. Not 2: nothing explains concepts Claude already knows; not 4: multiple paragraphs of justification prose don't earn their tokens.

Actionability

Fully executable throughout: complete YAML policy packs, JSON hook configs, a copy-paste idempotent jq merge script, a gh api scan loop, and validation commands with expected outputs and exit codes ("exit 2 for deny"). Specific examples cover the common cases for every mode.

Workflow Clarity

Each mode is a clearly numbered sequence with explicit validation: a Validation block with expected per-tier outputs, a stop-and-ask checkpoint for missing yq, idempotent re-run design, and an explicitly sequenced two-stage bootstrap that states the failure mode it prevents. Feedback loops are present (tune policy from check results before rollout).

Progressive Disclosure

In-body structure is good (one clearly signaled top-level reference, one level deep, plus per-mode headers), but the referenced bundle files — references/ai-governance.md and every examples/ai-governance/ file it instructs Claude to copy — are absent from the bundle, and ~230 lines of per-mode and tier detail that the reference file should carry are inlined in SKILL.md. Not 4: dangling referenced paths are more than a minor organization gap; not 2: structure is present and the reference is clearly signaled, not buried.

Specificity

The description lists several concrete actions — "Generate and enforce policy gates", "real-time session hooks that deny protected-path edits and dangerous commands", "plus a merge-time backstop" — but omits the check, audit, and explain capabilities the skill actually has, so coverage has minor gaps rather than being comprehensive.

Completeness

It explicitly answers both questions: the first sentence is a clear, concrete "what", and "Use when asked to 'govern AI agents'…" provides explicit "when" guidance with concrete trigger phrases, matching the top anchor exactly.

Trigger Term Quality

Four natural quoted trigger phrases — "govern AI agents", "block AI from touching secrets", "add an AI policy gate", "why did the AI agent hook not fire" — cover intent, blocking, setup, and the debugging case, plus tool names (Copilot, Claude Code). This matches the comprehensive-coverage anchor including synonyms, not merely "good keyword coverage with a few terms missing".

Distinctiveness Conflict Risk

The niche is clear (policy gates for AI coding agents with distinct quoted triggers), but the skill also writes Claude Code hook registrations and `.claude/settings.json`, giving it minor overlap risk with hook/permission-configuration skills — one level below minimal-conflict.