Individual skill
iso42001-specialist
Use for ISO/IEC 42001 AI management system work: gap analysis against Clauses 4-10, the AI risk register and Annex A controls, or the internal audit plan. Runs aims_gap_analyzer.py, ai_risk_register_builder.py and aims_audit_scheduler.py.
ra-qm-team/compliance-team-iso42001/skills/iso42001-specialist/SKILL.md
Source commit 8f082544116fc0d014188e521ca40304cdfc86b0
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 29,593
- Repository last updated
- Nov 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agentic-ai Repository topic
- anthropic-claude Repository topic
- claude-ai Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- claude-code-skills Repository topic
- ai-coding-agent Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- openai-codex Repository topic
- security Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 13,542 bytesSKILL.mdcore · 13,542 bytesSKILL.mdcore · 13,542 bytesSKILL.mdcore · 13,542 bytesSKILL.mdcore · 13,542 bytesreferences/aims_controls_annex_a.mddoc · 10,022 bytesreferences/aims_implementation_guide.mddoc · 8,548 bytesreferences/cross_framework_mapping_ai.mddoc · 9,113 bytesreferences/iso42001_clauses.mddoc · 9,091 bytesscripts/ai_risk_register_builder.pyruns · 10,862 bytesscripts/aims_audit_scheduler.pyruns · 11,027 bytesscripts/aims_gap_analyzer.pyruns · 11,556 bytes
Read excerpt
# ISO/IEC 42001 AI Management System Specialist
Internal-audit-grade operating skill for ISO/IEC 42001:2023. **Three decisions, no executive AI strategy:**
1. **Where are the AIMS gaps against Clauses 4–10?** — coverage scoring per clause + remediation priority
2. **What's the AI risk register, and which controls treat each risk?** — Annex A.2–A.10 control mapping per ISO 23894 risk method
3. **What's the Clause 9.2 internal audit plan?** — 12-month schedule with scope, frequency, auditor independence checks
This skill is **NOT a chief-ai-officer-advisor replacement**. CAIO decides whether to build/buy a model and what business risk to accept. This skill operates the management-system discipline that captures those decisions in audit-ready evidence.
This skill is **NOT an EU AI Act compliance skill**. ISO 42001 is a voluntary management-system standard; EU AI Act is binding product-safety regulation. They overlap (a high-risk AI system per Article 6(2) of the AI Act typically requires the QMS in Article 17, which ISO 42001 can satisfy in part) but the artefacts differ. See `compliance-team-eu-ai-act` for Article-level conformity assessment.
This skill is **NOT a substitute for ISO 23894 + 38507**. 42001 is the management system; 23894 is the AI risk methodology that feeds Clause 6.1; 38507 is the governance lens. The `ai_risk_register_builder.py` tool implements the 23894 process; treat the references as the methodology bridge.