compliance-os/skills/compliance-readiness/SKILL.md
/cs:compliance-readiness <program> — Multi-framework compliance officer 6-question forcing interrogation of any compliance program. Use before starting a new framework, planning the annual audit calendar, or preparing for certification stage 1.
npx skillsauth add alirezarezvani/claude-skills compliance-readinessInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Command: /cs:compliance-readiness <program>
The multi-framework compliance officer pressure-tests any compliance program. Six questions before any new-framework commitment, audit cycle planning, or certification readiness sign-off.
No framework selector run, no defensible scope.
framework_selector.py with company profileSingle evidence -> N controls = the cornerstone of multi-framework efficiency.
cross_framework_mapper.py with enabled frameworksJoint ownership without accountability is the most common cause of stale evidence.
evidence_pool_generator.py for the artefact inventorySurveillance audits stacking in the same week is a smell.
No mock audit, no readiness signal.
audit_simulator.py with framework + scopeEach framework wants its own management review; an integrated review (per Annex SL) saves 5x exec time.
# 1. Framework selection
python ../../skills/compliance-os/scripts/framework_selector.py profile.json
# 2. Cross-framework overlap
python ../../skills/compliance-os/scripts/cross_framework_mapper.py program.json
# 3. Evidence pool consolidation
python ../../skills/compliance-os/scripts/evidence_pool_generator.py program.json
# 4. Mock audit (per framework)
python ../../skills/compliance-os/scripts/audit_simulator.py scope.json
# Compliance Readiness: <program>
**Date:** YYYY-MM-DD
## The Decision Being Made
[framework-set | audit-calendar | certification-readiness | evidence-consolidation]
## Framework Set
- Applicable: <list>
- Binding (regulations): <count>
- Certifiable: <count>
- Missing dependencies: <list>
## Cross-Framework Overlap
- Total merged controls in scope: N
- High-leverage artefacts (≥ 5 mappings): M
- Top reuse opportunities: <top 5 artefacts>
## Evidence Pool
- Artefacts in catalog: N
- High-leverage count: M
- Stale evidence rate: X%
- Unowned artefacts: K
## Audit Calendar
- Frameworks scheduled this year: <list>
- Auditor independence respected: Y/N
- Conflicts: <list>
## Mock Audit Results (per framework)
- <framework>: total findings N, critical X%, observation Y%, healthy distribution: Y/N
## Verdict
🟢 READY | 🟡 STAGE-2-CANDIDATE | 🔴 NOT-READY
## Top 3 Actions
[3 concrete next steps with owners + dates]
/cs:aims-audit — for ISO 42001-specific forcing questions/cs:ai-act-readiness — for EU AI Act-specific forcing questions/cs:ciso-review — for cybersecurity strategy/cs:caio-review — for executive AI strategy/cs:gc-review — for novel-case legal review/cs:decide — to log the verdict/cs:freeze 30 — on certification commitments (multi-year financial impact)cs-compliance-officercompliance-os../../ra-qm-team/skills/iso42001-specialist/, ../../ra-qm-team/skills/eu-ai-act-specialist/, ../../ra-qm-team/skills/information-security-manager-iso27001/, ../../ra-qm-team/skills/soc2-compliance/, ../../ra-qm-team/skills/gdpr-dsgvo-expert/Version: 1.0.0
tools
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
tools
Use when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense", "TAM SAM SOM", "market sizing", "survey design", "segment the market", "plan user interviews", "usability test", "synthesize research insights". Forks context to route to one of four Research-Operations sub-skills (clinical-research, research-finance, market-research, product-research) and returns a digest. Distinct from ra-qm-team (regulatory submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), and marketing-skill (campaign analytics).
development
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages money already won).
development
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.