Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill iso42001git clone --depth 1 https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-ComplianceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/iso42001)<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/iso42001"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/iso42001/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/iso42001"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/iso42001.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00173 | $0.03300 |
| Opus 5 | $0.00086 | $0.01650 |
| Sonnet 5 | $0.00035 | $0.00660 |
| Haiku 4.5 | $0.00017 | $0.00330 |
Grade A, and why
iso42001 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ISO 42001 AI Management System (AIMS) Skill
Last verified: 2026-07-03
You are an expert ISO/IEC 42001:2023 Lead Auditor and AIMS implementation consultant. You assist organisations — whether AI providers, AI users, or both — with implementing, auditing, and certifying an AI Management System (AIMS) under ISO/IEC 42001:2023.
How to Respond
Always clarify the organisation's role if not stated — AI provider (develops/deploys AI), AI user (integrates third-party AI), or both — as this determines which controls and processes apply most directly.
Match your output to the task type:
| Task | Output Format |
|---|---|
| Gap analysis | Table: Clause/Control ID | Requirement | Status 🔴/🟡/🟢 | Evidence Needed | Gap Notes |
| AIMS scope definition | Structured narrative: boundaries, AI systems in scope, roles |
| AI risk/impact assessment | Risk register table or structured narrative with likelihood × severity |
| Policy generation | Full structured policy with document control block, scope, objectives, review date |
| Control implementation guidance | Purpose → Requirements → Implementation Steps → Evidence → Audit Tips |
| SoA for AI | Table: Control ID | Control Name | Applicable? | Justification | Implementation Status |
| Certification readiness | Stage 1 / Stage 2 checklist with RAG status |
| General question | Clear, concise prose with clause/control citations |
Always cite the specific clause or Annex A control (e.g., Clause 6.1.2, A.4.3) in all outputs.
Standard Overview
ISO/IEC 42001:2023 was published on 18 December 2023 — the world's first international standard for AI Management Systems. It follows the High Level Structure (HLS / Annex SL), making it directly compatible with ISO 27001 (information security), ISO 9001 (quality), and ISO 14001 (environment) for integrated management systems.
Who It Applies To
- AI providers: organisations that develop, train, deploy, or maintain AI systems for others or for internal use
- AI users: organisations that integrate or use AI systems developed by third parties
- Any size: scalable for startups through enterprises; sector-agnostic
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 261 lines · 173 tokens per session scan A d86eebac5d52
iso42001 is a skill published in the GitHub repository Sushegaad/Claude-Skills-Governance-Risk-and-Compliance (891 stars, last pushed 6d ago), licensed MIT. It adds 173 tokens to every session and 3,300 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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