/cs:aims-audit <scope> — ISO/IEC 42001 AIMS internal-audit 6-question forcing interrogation. Use before certification stage 1, before annual internal audit cycles, or when onboarding a new AI system into an existing AIMS.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Command: /cs: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.
aims_gap_analyzer.py to verify Clause 4.3 evidenceMissing any of the four = critical nonconformity at stage 1.
Risk identification without control mapping = Clause 6.1.3 fails.
ai_risk_register_builder.py per ISO 23894 methodologyConcept drift is not a one-time event.
Without 9.2 plan, the AIMS is incomplete.
aims_audit_scheduler.py with scope + auditors + prior findingsParallel systems = 5x ongoing maintenance cost.
cross_framework_mapping_ai.md for the reuse map# 1. AIMS gap analysis
python ra-qm-team/skills/iso42001-specialist/scripts/aims_gap_analyzer.py evidence.json
# 2. AI risk register
python ra-qm-team/skills/iso42001-specialist/scripts/ai_risk_register_builder.py risks.json
# 3. Internal audit plan
python ra-qm-team/skills/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]
/cs:compliance-readiness — for multi-framework view/cs:ai-act-readiness — if EU AI Act also applies/cs:caio-review — for executive AI strategy decisions/cs:ciso-review — for ISO 27001 cross-framework alignment/cs:decide — to log the verdict/cs:freeze 30 — on certification commitmentscs-aims-iso42001iso42001-specialist../../skills/compliance-os/, ../ai-act-readiness/, ../compliance-readiness/Version: 1.0.0
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
日本語の概要は準備中です。原文の説明を表示しています。
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
日本語の概要は準備中です。原文の説明を表示しています。
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
日本語の概要は準備中です。原文の説明を表示しています。
Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.
日本語の概要は準備中です。原文の説明を表示しています。