Install
$ agentstack add skill-scytale-labs-grc-claude-skills-iso-42001 ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- 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.
- Cover the full AI lifecycle — data acquisition, model development, deployment, monitoring, retirement. Auditors look for controls across all phases.
- Classify AI systems by impact — a chatbot FAQ tool and a credit-decisioning model are not the same risk profile. Tailor controls accordingly.
- 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.
- 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.
- Author: scytale-labs
- Source: scytale-labs/GRC-Claude-Skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.