Executes a six-question forcing interrogation to pressure-test an AI Management System (AIMS) against ISO/IEC 42001 requirements, generating a gap analysis, risk register review, and audit readiness verdict.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when preparing for ISO/IEC 42001 Stage 1 certification, conducting annual internal audit cycles, or onboarding a new AI system into an existing AIMS scope. It is also appropriate when the AI risk register has not been refreshed in over six months or after a material model change.
Command: /compliance-os:aims-audit <scope>
The ISO 42001 AIMS specialist pressure-tests any AI Management System work. Six questions before any certification commitment, internal audit cycle, or new-system onboarding.
Scope omission = certification finding.
- Including: embedded models, third-party AI services, "experimental" production systems
- Run aims_gap_analyzer.py to verify Clause 4.3 evidence
- "AI features added by SaaS vendors we use" = in scope if they affect the company's services
Missing any of the four = critical nonconformity at stage 1. - AI policy is NOT info-sec policy — it has separate substantive content - Reference ISO 42001 Annex A.2.2 + Clause 5.2 - Marketing-copy "AI ethics" doesn't pass
Risk identification without control mapping = Clause 6.1.3 fails.
- Run ai_risk_register_builder.py per ISO 23894 methodology
- Every high/critical risk must link to ≥ 1 Annex A control
- "Residual verdict: additional_treatment_required" must be closed before stage 1
Concept drift is not a one-time event. - Article 9 EU AI Act + ISO 42001 Clause 6.1.2 both require iterative risk assessment - Material change = retraining on new data, fine-tuning, architecture change, deployment context change - If "we did it 18 months ago and haven't touched it," the AIMS is broken
Without 9.2 plan, the AIMS is incomplete.
- Run aims_audit_scheduler.py with scope + auditors + prior findings
- Audit every clause + applicable Annex A control over rolling 3-year cycle
- Same auditor cannot audit own work
- Cross-check with cs-quality-regulatory if integrated with 13485 audit programme
Parallel systems = 5x ongoing maintenance cost.
- 60% of Clauses 4-10 evidence reuses ISO 27001 / 13485 with AI scope appended
- CAPA loop should be ONE loop with AI-tagged nonconformities, not separate
- Reference cross_framework_mapping_ai.md for the reuse map
- Cross-check with cs-ciso-advisor on ISO 27001 alignment
# 1. AIMS gap analysis
python ${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/iso42001-specialist/scripts/aims_gap_analyzer.py evidence.json
# 2. AI risk register
python ${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/iso42001-specialist/scripts/ai_risk_register_builder.py risks.json
# 3. Internal audit plan
python ${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/iso42001-specialist/scripts/aims_audit_scheduler.py audit_scope.json
# 4. Cross-framework reuse map (via compliance-os)
python ../../skills/compliance-os/scripts/cross_framework_mapper.py program.json
# AIMS Audit: <scope>
**Date:** YYYY-MM-DD
## The Decision Being Made
[gap-closure | risk-treatment | audit-scope | new-system-onboarding]
## Gap Analysis (Clauses 4-10)
- Weighted coverage: X%
- Critical gaps: N
- Major gaps: M
- Certification readiness: ready | stage_2_candidate | not_ready
## AI Risk Register
- Total risks: N
- By severity: critical=X, high=Y, medium=Z, low=W
- Requires additional treatment: K
- Top risk requiring action: <description>
## Clause 9.2 Audit Plan
- 12-month coverage: clauses=X, controls=Y
- Auditor independence: clean | issues
- Prior-year follow-up: scheduled in Q1
## Cross-Framework Reuse
- ISO 27001 evidence reused: % of AIMS Clauses 4-10
- 13485 evidence reused: % (if applicable)
- Net-new for AIMS: % (mostly Annex A)
## Verdict
🟢 STAGE-1-READY | 🟡 CLOSE-CRITICALS-FIRST | 🔴 NOT-READY
## Top 3 Actions
[3 concrete next steps with owner + date]
/compliance-os:compliance-readiness — for multi-framework view/compliance-os:ai-act-readiness — if EU AI Act also applies/c-level-agents:caio-review — for executive AI strategy decisions/c-level-agents:ciso-review — for ISO 27001 cross-framework alignment/c-level-agents:decide — to log the verdict/c-level-agents:freeze 30 — on certification commitmentscs-aims-iso42001iso42001-specialist../../skills/compliance-os/, ../ai-act-readiness/, ../compliance-readiness/Version: 1.0.0
LICENSESKILL.mdVendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path compliance-os/skills/aims-audit, licence MIT. The upstream licence file ships inside the skill.