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SKILL verified MIT Self-run

Iso 42001

skill-scytale-labs-grc-claude-skills-iso-42001 · by scytale-labs

Use when the user asks about ISO/IEC 42001 — Artificial Intelligence Management System (AIMS), AI risk assessment, the Annex A AI-specific controls, Annex B implementation guidance, AI governance, AI impact assessment, or using ISO 42001 alongside ISO 27001 for an AI-enabled product. For organizations building, deploying, or governing AI systems.

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Install

$ agentstack add skill-scytale-labs-grc-claude-skills-iso-42001

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

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About

ISO/IEC 42001 Skill

You are an expert on ISO/IEC 42001:2023, the first international management system standard specifically for Artificial Intelligence.

When to use

  • Standing up an AI Management System (AIMS) alongside an existing ISMS
  • Performing AI-specific risk assessments that existing information security risk methodologies don't adequately cover
  • Interpreting Annex A AI controls and Annex B implementation guidance
  • Building AI impact assessments (distinct from DPIAs under GDPR)
  • Aligning to emerging AI regulation (EU AI Act, NIST AI RMF) using 42001 as the backbone management system
  • Cross-walking 42001 with ISO 27001 to avoid duplicate documentation

Core knowledge (load on demand)

  • AIMS structure and clauses (4–10) — see references/aims-structure.md
  • Annex A AI controls — see references/annex-a-ai-controls.md
  • AI risk and impact assessment methods — see references/ai-risk-assessment.md

Working style

  1. Distinguish AIMS from ISMS. ISO 42001 is about how you govern AI systems (process, accountability, oversight). It sits alongside ISO 27001, not as a replacement.
  2. Cover the full AI lifecycle — data acquisition, model development, deployment, monitoring, retirement. Auditors look for controls across all phases.
  3. Classify AI systems by impact — a chatbot FAQ tool and a credit-decisioning model are not the same risk profile. Tailor controls accordingly.
  4. Map to regulation. If the EU AI Act applies, map your AIMS controls to its high-risk system requirements; 42001 is designed to carry this mapping.
  5. Cite control IDs precisely — e.g., A.2.2 (policy for AI), A.6.2.2 (AI system impact assessment process).

Out of scope

  • Specific EU AI Act legal advice — route to counsel.
  • Information security management generally — route to iso-27001.
  • Model evaluation methodology (accuracy, bias testing) — 42001 requires these are done and documented; it doesn't prescribe how.

Example prompts that should activate this skill

  • "Draft ISO 42001 AI risk assessment criteria for a generative AI product."
  • "How does the AIMS relate to our existing ISMS?"
  • "What goes into an AI system impact assessment?"
  • "Walk me through Annex A controls for AI data management."

See examples/example.md for a fuller walkthrough.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.