aims-audit
by alirezarezvaniaims-audit is a Claude skill for ISO/IEC 42001 AIMS compliance review, using /cs:aims-audit <scope> and six forcing questions to test scope, policy, risk refresh, and audit evidence before certification, internal audit, or AI-system onboarding.
This skill scores 68/100, which makes it acceptable for listing but with clear limits for directory users. It is triggerable and contains real ISO/IEC 42001 AIMS audit interrogation content, so it can help an agent pressure-test scope, policy, risk refresh, and audit readiness. However, it lacks supporting files, install guidance, and fuller operational artifacts, so users should treat it as a concise audit-question skill rather than a complete internal-audit toolkit.
- Clear command and trigger: /cs:aims-audit <scope>, with specific use cases such as stage 1 certification readiness, annual internal audits, and onboarding new AI systems into AIMS scope.
- Substantive ISO/IEC 42001-oriented content: the excerpt includes concrete audit prompts tied to scope, policy commitments, Clause 4.3, Clause 5.2, Clause 6.1.2, Clause 9.2, and Annex A.2.2.
- Focused agent leverage: the six-question pressure-test format gives an agent a more structured way to challenge AIMS readiness than a generic compliance prompt.
- The repository preview shows only SKILL.md and no support files, even though the skill tells users to run aims_gap_analyzer.py.
- It appears to be a forcing-question checklist rather than a complete ISO 42001 audit workflow, with limited evidence templates, scoring criteria, or artifact examples.
Overview of aims-audit skill
What aims-audit is for
aims-audit is a compliance-focused Claude skill for pressure-testing an ISO/IEC 42001 AI Management System before a certification milestone, internal audit, or AI-system onboarding decision. It is built around /cs:aims-audit <scope> and uses six forcing questions to expose weak evidence, missing scope coverage, and policy gaps that could become audit findings.
Best-fit users and review moments
The aims-audit skill is best for AI governance leads, internal auditors, compliance managers, ISO 42001 implementation teams, and consultants preparing an AIMS for review. It is especially useful before stage 1 certification, before an annual internal audit cycle, after a material model change, when an AI risk register is stale, or when new SaaS AI features may quietly expand the AIMS boundary.
What makes the skill different
Unlike a generic “review my compliance program” prompt, aims-audit is intentionally narrow. It asks whether the AIMS scope names every relevant AI system, whether the AI policy covers lawful use, beneficial purpose, human oversight, and continual improvement, and whether evidence supports the ISO 42001 claim being made. That forcing-question format helps prevent optimistic self-assessments.
Important adoption cautions
The repository package for aims-audit is lightweight: the visible skill path contains SKILL.md and does not appear to ship a full evidence library, templates, or executable scripts in the skill folder. Treat it as an expert interrogation workflow, not a complete audit automation system. If the skill mentions helper tooling such as aims_gap_analyzer.py, verify whether that file exists in your installed environment before making it part of your process.
How to Use aims-audit skill
aims-audit install context
If your Claude skills environment supports GitHub installation, install from the repository path:
npx skills add alirezarezvani/claude-skills --skill aims-audit
Then inspect the installed SKILL.md first. Because this skill is mostly instruction-driven, the most important installation check is whether your agent can see the command pattern /cs:aims-audit <scope> and the six-question workflow. If your platform does not support command-style invocation, paste the relevant skill text into your compliance review session and ask the model to apply it explicitly.
Inputs the skill needs
For useful aims-audit usage, do not provide only “review our AIMS.” Give the skill enough evidence to test scope, policy, and audit readiness. Strong inputs include:
- Current AIMS scope statement
- Inventory of AI systems, including embedded models and third-party AI services
- AI policy text
- Risk register date and recent changes
- Evidence map for ISO 42001 clauses and Annex A controls
- Internal audit plan or stage 1 certification timeline
- Notes on material model changes, new AI vendors, or production experiments
A better prompt is: “Run /cs:aims-audit for our customer-support AI scope. Check whether the attached AIMS scope covers our chatbot, summarization feature, vendor AI search, and pilot triage model. Flag stage 1 risks, missing evidence, and policy language that fails lawful use, beneficial purpose, human oversight, or continual improvement.”
Practical workflow for Compliance Review
Use aims-audit for Compliance Review as a pre-audit challenge session, not as the final audit report. Start with the scope statement and system inventory. Ask for omissions first, because scope gaps can invalidate later evidence. Then review policy commitments, risk refresh timing, and whether changes to models or vendors triggered reassessment. Finally, convert findings into an action list: owner, evidence needed, ISO 42001 clause area, severity, and target date.
Repository files to read first
Read SKILL.md before installation decisions. It contains the command, when-to-run guidance, and the six AIMS questions. There are no obvious companion folders such as references/, rules/, resources/, or scripts/ in the previewed skill tree, so do not assume the repository provides clause-by-clause reference material. Bring your own ISO 42001 documentation, internal policies, and evidence index.
aims-audit skill FAQ
Is aims-audit a full ISO 42001 audit tool?
No. aims-audit is a focused questioning skill for identifying likely AIMS weaknesses. It can support internal audit preparation, certification readiness checks, and onboarding reviews, but it does not replace a qualified auditor, your official audit program, or controlled evidence management.
How is aims-audit better than an ordinary prompt?
An ordinary prompt may summarize your AIMS and miss uncomfortable gaps. The aims-audit skill is designed to challenge the system with specific ISO 42001-oriented questions, especially around scope completeness, AI policy substance, risk refresh timing, and duplication with ISMS or QMS processes. That structure reduces the chance of a polite but shallow review.
Is aims-audit beginner-friendly?
It is usable by beginners, but the output quality depends on the evidence supplied. If you are new to ISO 42001, start by asking the skill to separate “missing evidence,” “unclear scope,” and “policy weakness.” Avoid asking it to certify readiness from incomplete documents.
When should you not use it?
Do not use aims-audit when you need a broad AI ethics brainstorm, a legal opinion, or a complete management-system buildout from scratch. It is also a poor fit if you cannot share at least a basic AI system inventory and policy text. Without those, the skill can only provide generic risk reminders.
How to Improve aims-audit skill
Improve aims-audit inputs before the first run
The most common failure mode is vague scope. Before invoking aims-audit, list all AI systems that affect your services, including vendor-provided AI features, embedded models, pilots used in production, and “experimental” systems with real users. Add dates for risk-register refreshes and material model changes. This gives the skill facts to interrogate instead of making assumptions.
Ask for audit-ready outputs
Tell the skill what format you need. For example: “Return a table with issue, evidence gap, ISO 42001 area, likely audit impact, owner, and remediation action.” This turns the aims-audit guide into a practical internal-audit work product and makes it easier to hand findings to compliance, engineering, procurement, or product owners.
Iterate after the first finding list
After the first output, do not stop at the summary. Ask follow-up questions such as: “Which finding would most likely block stage 1?”, “Which scope omissions affect third-party AI services?”, or “Rewrite our policy clause to cover lawful use, beneficial purpose, human oversight, and continual improvement without marketing language.” Iteration is where the skill becomes more valuable than a checklist.
Strengthen the skill locally
If your organization relies on aims-audit repeatedly, extend the local workflow with your own evidence map, clause references, audit report template, and definitions for AI system boundaries. Keep those additions separate from the upstream SKILL.md so updates remain manageable. The highest-value improvement is usually not more prompt text; it is better organization of the documents the skill must inspect.