iso27001-audit-prep

$npx mdskill add alirezarezvani/claude-skills/iso27001-audit-prep

**Command:** `/cs:iso27001-audit-prep <scope>`

SKILL.md

.github/skills/iso27001-audit-prepView on GitHub ↗
---
name: "iso27001-audit-prep"
description: "/cs:iso27001-audit-prep <scope> — ISO 27001 ISMS audit readiness 6-question forcing interrogation. Use before annual Clause 9.2 internal audit, surveillance audit prep, or stage 1 certification readiness."
---

# /cs:iso27001-audit-prep — ISO 27001 ISMS Audit Forcing Questions

**Command:** `/cs:iso27001-audit-prep <scope>`

The ISO 27001 ISMS auditor pressure-tests any ISMS work. Six sample-driven questions before any internal audit, stage 1 readiness, or surveillance audit.

## When to Run

- Before annual Clause 9.2 internal audit
- Before stage 1 / stage 2 ISO 27001 certification audit
- Before surveillance audit (year 2 / year 3)
- After material change to ISMS scope (new business unit, new product line, new SaaS adoption)
- Post-incident (breach triggers ad-hoc ISMS audit)
- Quarterly during high-growth phase

## The Six ISMS Questions

### 1. What's the audit scope, and is rolling 3-year coverage on track?
**No 3-year coverage discipline, no defensible programme.**
- Every Clause 4-10 + every applicable Annex A control must be audited at least once per 3-year cycle
- Run `isms_audit_scheduler.py` in `ra-qm-team/skills/isms-audit-expert/`
- Confirm auditor independence — no self-audit on any sample

### 2. When was the risk register last refreshed, and are treatments linked to Annex A controls?
**Stale risk register = certification finding.**
- Quarterly refresh expected; annual minimum
- Every high/critical risk must link to ≥ 1 Annex A control treating it
- Residual risk acceptance documented + signed
- Review against `iso27001_audit_playbook.md` for stage 1 expectations

### 3. Show me the access review records — quarterly cadence, the last 4 quarters.
**Most-cited finding area.**
- Annex A.5.15 + A.8.2 + A.8.3 access controls
- Sample real records pulled from Okta / IAM, not curated audit-prep packs
- For each terminated employee in last 90 days: deprovisioning evidence within 24-hour SLA
- Privileged access reviewed at finer granularity

### 4. What's the supplier inventory + last review evidence?
**Second-most-cited finding area.**
- Annex A.5.19-A.5.21 supplier management
- Critical SaaS suppliers reviewed at least annually
- DPAs signed for personal-data sub-processors (cross-check with cs-dpo-gdpr)
- AI-specific contract clauses where third-party AI services in use (cross-check with cs-aims-iso42001)

### 5. Where's the incident response evidence + post-incident review?
**A.5.24-27 + A.6.8 — high-stakes audit area.**
- Severity definitions documented + consistently applied
- Last 5 incidents have post-incident review (PIR) within 30-day SLA
- GDPR Article 33 / 34 notification timing aligned with A.5.24 (cross-check with cs-dpo-gdpr)
- Blameless retro culture; not punitive

### 6. What's the management review cadence + inputs?
**Clause 9.3 required inputs are prescriptive — easy to miss.**
- Required inputs: audit results, risks, performance, nonconformities, opportunities
- Schedule: annual minimum; quarterly preferred for mature programs
- Outputs documented + tracked to closure
- Integrated review across frameworks (per `multi_framework_audit_playbook.md`) preferred to separate reviews

## Workflow

```bash
# 1. Audit programme planning
python ra-qm-team/skills/isms-audit-expert/scripts/isms_audit_scheduler.py audit_scope.json

# 2. Mock audit for readiness check
python ../../skills/compliance-os/scripts/audit_simulator.py iso27001_scope.json

# 3. Cross-framework reuse (SOC 2 = 75% overlap; ISO 42001 = 60% reuse)
python ../../skills/compliance-os/scripts/cross_framework_mapper.py program.json
```

## Output Format

```markdown
# ISO 27001 Audit Prep: <scope>
**Date:** YYYY-MM-DD

## The Decision Being Made
[programme-plan | finding-severity | cert-readiness | incident-followup]

## Audit Programme Status
- Clauses scheduled this year: <list>
- Annex A controls scheduled: <count>
- Rolling 3-year coverage: clean | gaps in <list>
- Auditor independence: clean | issues in <list>

## Risk Register Health
- Last refresh: YYYY-MM-DD
- High/critical risks without Annex A control link: N
- Residual risk acceptance documentation: complete | gaps

## High-Stakes Controls Status
- A.5.15 + A.8.2 + A.8.3 access control: pass/fail with sample
- A.5.19-A.5.21 supplier mgmt: pass/fail with sample
- A.5.24-27 + A.6.8 incident response: pass/fail with sample
- A.8.15-16 logging: pass/fail with sample

## Management Review Status
- Last review date: YYYY-MM-DD
- Required Article 9.3 inputs present: yes/no
- Open action items past due: N

## Cross-Framework Impact
- SOC 2 controls affected: <list>
- ISO 42001 controls affected (if applicable): <list>
- GDPR Article 32 controls affected: <list>

## Verdict
🟢 READY | 🟡 CLOSE-CRITICALS-FIRST | 🔴 NOT-READY

## Top 3 Actions
[3 concrete next steps with owner + corrective-action timeline]
```

## Routing

- `/cs:compliance-readiness` — for multi-framework view
- `/cs:soc2-audit-prep` — for SOC 2 cross-walk pair (75% overlap)
- `/cs:aims-audit` — for ISO 42001 AIMS cross-walk
- `/cs:gdpr-audit-prep` — for Article 32 organizational measures overlap
- `/cs:ciso-review` — for executive cybersecurity strategy
- `/cs:decide` — to log the verdict

## Related

- Agent: [`cs-ciso-iso27001`](../../agents/cs-ciso-iso27001.md)
- Skill: [`isms-audit-expert`](../../../ra-qm-team/skills/isms-audit-expert/SKILL.md)
- Playbook: [iso27001_audit_playbook.md](../../../ra-qm-team/skills/isms-audit-expert/references/iso27001_audit_playbook.md)
- Adjacent: `../soc2-audit-prep/`, `../aims-audit/`, `../gdpr-audit-prep/`, `../compliance-readiness/`

---

**Version:** 1.0.0

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility 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.
ab-test-setupWhen 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.
ad-creativeWhen 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.
adversarial-reviewerAdversarial 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.
aeoAnswer 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.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
agile-product-ownerAgile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.