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iso42001-specialist

ISO/IEC 42001:2023 AI Management System (AIMS) specialist for compliance teams running internal audits. Three decisions: (1) Where are the gaps against Clauses 4-10 and what do we close first? (2) What goes in the AI risk register and which Annex A controls treat each risk? (3) What's the 12-month internal audit plan that satisfies Clause 9.2? Use when preparing for certification, scoping internal audit cycles, or onboarding AI systems into an existing ISMS (27001) / QMS (13485) program. NOT an executive AI strategy skill (see chief-ai-officer-advisor). NOT EU AI Act compliance (see compliance-team-eu-ai-act).

68

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is iso42001-specialist in alirezarezvani/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-crafted as text: table-driven, token-efficient, immediately actionable, with four clearly sequenced workflows carrying explicit confirmation checkpoints. Its fatal flaw is that the entire detail layer — all four reference documents and all three Python tools it delegates to — is absent from the bundle, making the skill's navigation structure and Quick Start unusable as shipped.

Suggestions

Ship the referenced bundle files: all seven paths the body relies on (scripts/aims_gap_analyzer.py, scripts/ai_risk_register_builder.py, scripts/aims_audit_scheduler.py, and the four references/*.md documents) are missing from the bundle — either include them or remove every reference to them, since Quick Start and the Core Responsibilities sections are unusable without them.

Specify the input JSON schemas for aims_evidence.json, risks.json, and audit_scope.json (inline or in a shipped reference file) so a reader can prepare valid tool inputs without reverse-engineering the scripts — this closes the actionability gap that currently caps at 4.

Cut non-operational body content: the ~40-term Keywords list and the three 'NOT a...' boundary paragraphs duplicate the frontmatter description's job, and trimming them (plus a validate-and-re-run step in Workflow 1 to confirm closed gaps) would raise both conciseness and workflow_clarity to the top anchor.

DimensionReasoningScore

Conciseness

The core body is dense and operational — compact tables (clause/gap matrix, the 10 Annex A categories), inline commands, and a fill-in output template, with no 'what is ISO 42001' padding. It matches anchor 4 ('Efficient; minor instances of over-explanation that could be trimmed'): the ~40-term '## Keywords' block, the three 'NOT a...' paragraphs that restate the description's boundary disclaimers, and the 8-entry Adjacent Skills directory are non-operational token cost. Not 5 because those padded sections are noticeable rather than negligible; not 3 because everything else earns its place.

4 / 5

Actionability

Quick Start gives copy-paste runnable commands for all three tools (with and without input files), each workflow embeds the exact script invocation at the right step, and Output Standards is a concrete fill-in template with explicit field expectations ('clause numbers + control IDs from the tool, not adjectives'). This matches anchor 4 ('Mostly executable guidance; concrete code or commands with minor gaps'). Not 5: the input JSON schemas for aims_evidence.json / risks.json / audit_scope.json are never specified, so the reader cannot prepare valid inputs without reverse-engineering the (unshipped) scripts.

4 / 5

Workflow Clarity

All four workflows have numbered, sequenced steps with stated goals and durations, and most include verification checkpoints: Workflow 1's cross-check against existing 27001/13485 artifacts, Workflow 2's 'confirm ≥ 1 Annex A control is selected as treatment' and management signoff, Workflow 3's 'Confirm auditor independence per assignment' and coverage confirmation. This matches anchor 4 ('Clear sequence with most checkpoints present; minor validation gaps'). Not 5: no workflow includes an explicit validate-output/retry loop (e.g., re-run the analyzer after remediation to confirm the gap closed); not 3 because checkpoints are explicit and embedded, not merely implied.

4 / 5

Progressive Disclosure

Scored against the actual bundle structure per the rubric guideline: no references/, scripts/, or assets/ directories exist, so all seven referenced paths (4 references/*.md walkthroughs and 3 scripts/*.py tools, also promised in frontmatter metadata 'python-tools') are dangling. The in-body signaling would merit a 4-5 (clear one-level-deep 'See references/...' pointers plus a References index), but the disclosure structure is broken in fact — every load-bearing detail (38-control catalogue, clause walkthrough, maturity model) is delegated to files that are not shipped, and the Quick Start commands cannot execute. This lands at anchor 2 ('minimal structure' in actuality / broken navigation) rather than 3, whose defect is merely poor signaling of references that exist.

2 / 5

Total

14

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is a model example of the form: it states what the skill does as three concrete clause-anchored decisions, gives an explicit multi-scenario 'Use when' trigger clause, uses third person, includes both full-standard and abbreviation synonyms, and closes with explicit NOT-boundaries that route adjacent requests to sibling skills. All four dimensions sit at the top anchor.

DimensionReasoningScore

Specificity

The description enumerates three concrete deliverables with clause-level specificity: "Where are the gaps against Clauses 4-10", "What goes in the AI risk register and which Annex A controls treat each risk", and "the 12-month internal audit plan that satisfies Clause 9.2". This matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage' — the three decisions comprehensively cover the skill's stated scope. Not 4: there are no coverage gaps; each action names the exact artifact and the standard reference it maps to.

5 / 5

Completeness

Both questions are answered explicitly: the 'what' is the three named decisions, and the 'when' is a literal trigger clause — "Use when preparing for certification, scoping internal audit cycles, or onboarding AI systems into an existing ISMS (27001) / QMS (13485) program" with three concrete trigger scenarios. This matches the anchor 'Clearly and explicitly answers both what AND when with concrete trigger phrases'. Not 4: the 'when' is not merely present but enumerates three specific situations, exceeding 'could be more specific'.

5 / 5

Trigger Term Quality

Natural terms a compliance user would actually say appear with both full and abbreviated forms: "ISO/IEC 42001:2023", "AI Management System (AIMS)", "internal audits", "certification", "AI risk register", "Annex A controls", "Clause 9.2", and adjacent-framework triggers "ISMS (27001) / QMS (13485)". This matches the anchor 'Comprehensive coverage of natural terms including synonyms' (full name + abbreviation + related framework numbers). Not 4: no commonly used variation for this domain is missing.

5 / 5

Distinctiveness Conflict Risk

The description carves an explicit niche (ISO 42001 AIMS internal-audit compliance) and adds hard disambiguation boundaries: "NOT an executive AI strategy skill (see chief-ai-officer-advisor)" and "NOT EU AI Act compliance (see compliance-team-eu-ai-act)". This matches the anchor 'Clear niche with distinct triggers; minimal conflict risk'. Not 4: the negative boundary clauses actively route the two most confusable neighbor requests elsewhere, leaving virtually no overlap risk.

5 / 5

Total

20

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 4 missing

Warning

referenced_paths_exist

Referenced path issues: 16 missing

Warning

Total

14

/

16

Passed

Repository

alirezarezvani/claude-skills

Path

.gemini/skills/iso42001-specialist/SKILL.md

Reviewed

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