Conciseness

The body is dense and specific rather than padded, but it includes noticeable duplication of reference content: the AI Risk Profiles section (profile-type table plus the 6-step Scope→Assess→Set Target→Gap→Prioritize→Roadmap process) and the full EU AI Act and ISO 42001 mapping tables appear in the body while references/rmf-profiles.md is advertised as holding exactly this material. This is the anchor-3 case of 'mostly efficient but... could be tightened', not anchor 2 since nothing is generic filler.

Actionability

Guidance is fully executable for an advisory skill: a task→output-format table, a risk register template with two complete worked example rows (including a third-party vendor row), pasteable mini-templates (policy outline, committee charter RACI, risk-tolerance statements, inventory fields), and specific verifiable details (disparate impact 4/5ths threshold, SR 11-7/OCC 2011-12, GOVERN 6.1 citations). This matches 'specific examples cover the common cases'.

Workflow Clarity

The four Common Workflows are clearly sequenced with numbered steps, defined deliverables at each stage (rating scales 🔴/🟡/🟢, maturity 0-3, severity low/medium/high/critical), and genuine feedback loops — 're-test before re-enabling automated decisions', monitoring evidence updating the register (MEASURE 4.3), and post-incident lessons feeding back into GOVERN (MANAGE 4.3). No destructive or batch operations apply, so no validation cap.

Progressive Disclosure

Two real, one-level-deep reference files (references/rmf-core.md and references/rmf-profiles.md, both verified to contain the promised content) are clearly signaled both inline ('For the full subcategory list... read references/rmf-core.md') and in a dedicated Reference Files section. The deduction from 5 is that content which belongs in the references — the full profiles how-to and the complete ISO 42001 mapping table — is inlined in the body, slightly blurring the overview/detail split.

Specificity

The description names the domain ('Expert NIST AI Risk Management Framework (AI RMF 1.0) advisor') and lists several concrete coverage areas — 'all four functions: GOVERN, MAP, MEASURE, MANAGE', 'AI RMF Playbook', 'AI risk profiles', and alignment to 'EU AI Act, ISO 42001, or NIST CSF'. It sits between anchor 3 and 4: coverage is broad and specific, but the items are topics/scope areas rather than the concrete actions (e.g., 'build risk registers', 'run gap assessments') of a 5.

Completeness

It clearly answers both questions: 'what' ('Expert NIST AI RMF 1.0 advisor covering all four functions...') and 'when' ('Use this skill whenever a user asks about...'), reinforced by 'Trigger even if the user doesn't say "skill"'. This matches the anchor-5 pattern of concrete trigger phrases for both what and when.

Trigger Term Quality

The explicit list 'NIST AI RMF, AI risk management, AI trustworthiness, GOVERN function, MAP function, MEASURE function, MANAGE function, AI RMF Playbook, AI risk profiles, ... NIST AI 100-1, AI risk assessment, AI incident response' provides comprehensive natural terms, synonyms, and document identifiers a user would actually say — matching the anchor-5 example's coverage pattern (synonyms plus file/publication identifiers).

Distinctiveness Conflict Risk

The NIST AI RMF niche with named functions and publication IDs is clearly distinct from most skills, but broad trigger phrases like 'responsible AI', 'AI safety', 'AI bias management', and the closing 'any NIST AI RMF or AI governance risk question' create minor overlap risk with general AI-governance, AI-safety, or compliance skills — the anchor-4 case of 'mostly distinct; minor overlap risk'.