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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).

63

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./.gemini/skills/skills-iso42001-specialist/SKILL.md

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

SKILL.md
Quality
Evals
Security

Quality

Content

52%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.

Well-organized, domain-rich audit guidance with concrete commands, tables, and checkpointed workflows, undermined by a broken bundle: all referenced scripts and reference files are absent, input formats are unspecified, and the Keywords/boundary sections duplicate the frontmatter. The design of the structure is good; the shipped structure does not function.

Suggestions

Ship the referenced bundle or remove the pointers: no scripts/ or references/ files exist, so all seven referenced paths (three scripts, four reference .md files) resolve to nothing and every progressive-disclosure pointer is broken.

Specify the input JSON formats (aims_evidence.json, risks.json, audit_scope.json) with a short inline example each so the tool commands are actionable without the missing reference files.

Cut the 30-item Keywords section and fold the three 'NOT ...' boundary paragraphs into a single disambiguation line — both duplicate the frontmatter description and cost tokens without adding guidance.

DimensionReasoningScore

Conciseness

The core content is dense and audit-useful (clause gap table, Annex A category map, numbered workflows), but the 30-term 'Keywords' section and the three 'NOT ...' boundary paragraphs ('This skill is NOT a chief-ai-officer-advisor replacement', 'NOT an EU AI Act compliance skill', 'NOT a substitute for ISO 23894 + 38507') duplicate the frontmatter description's disambiguation and add pure token cost. Not 4 because those sections are trimmable padding; not 2 because the body does not explain concepts Claude already knows.

3 / 5

Actionability

Concrete commands are given ('python scripts/aims_gap_analyzer.py path/to/aims_evidence.json') plus an explicit output-standards template, but the commands are not executable as bundled: no scripts/ directory exists (all three tools are missing), and the input JSON formats (aims_evidence.json, risks.json, audit_scope.json) are never specified in the body. This matches anchor 3 (incomplete, missing key details) rather than 4 (minor gaps) because the execution path itself is broken.

3 / 5

Workflow Clarity

Four workflows each carry a goal, duration, and numbered steps with explicit checkpoints ('Confirm auditor independence per assignment', 'confirm ≥ 1 Annex A control is selected as treatment', 'Cross-check against ISO 27001 / 13485 existing artifacts'). Not 5 because output validation is implicit (no verify-the-produced-artifact step) and several numbered steps are comment-only placeholders rather than actions.

4 / 5

Progressive Disclosure

The body is structured as an overview with well-signaled one-level references ('See references/iso42001_clauses.md for the full clause-by-clause walkthrough', plus three more reference files and three scripts), but the bundle contains none of them — every referenced path resolves to a nonexistent file, so the disclosure structure provides no navigation at all. Anchor 2 rather than 3 because references that cannot be opened deliver none of the promised progressive disclosure.

2 / 5

Total

12

/

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.

Exemplary skill description: it names the audience, enumerates three concrete decisions at clause specificity, gives an explicit 'Use when' trigger, and disambiguates the two nearest competing skills with negative triggers. No changes needed.

DimensionReasoningScore

Specificity

Three concrete, clause-level actions are stated: 'Where are the gaps against Clauses 4-10 and what do we close first', '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'. Anchor 5 rather than 4 because coverage of the skill's decisions is comprehensive, not 'minor gaps'.

5 / 5

Completeness

Both questions are answered explicitly: what — the three numbered decisions — and when — 'Use when preparing for certification, scoping internal audit cycles, or onboarding AI systems into an existing ISMS (27001) / QMS (13485) program'. This matches the anchor-5 example exactly (clear what AND when with concrete trigger phrases), so 4's 'when could be more explicit' does not apply.

5 / 5

Trigger Term Quality

Natural user phrasings and synonyms are comprehensively covered: 'certification', 'internal audits', 'AI risk register', 'Annex A controls', 'AIMS', 'ISMS (27001) / QMS (13485)', 'Clause 9.2'. Not 4 because no common variation a compliance-team user would naturally say for this niche is missing.

5 / 5

Distinctiveness Conflict Risk

A clear niche is staked out and negative triggers divert adjacent requests: 'NOT an executive AI strategy skill (see chief-ai-officer-advisor). NOT EU AI Act compliance (see compliance-team-eu-ai-act)'. Not 4 because the explicit cross-referenced disambiguation leaves minimal overlap risk beyond closely related standards skills.

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/skills-iso42001-specialist/SKILL.md

Reviewed

Table of Contents

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