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Compliance Readiness

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alirezarezvani
compliance-readiness

/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.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namecompliance-readiness
Stars
28K
Forks
3.9K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Compliance Readiness AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/alirezarezvani/claude-skills/tree/main/compliance-os/skills/compliance-readiness
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/compliance-os/skills/compliance-readiness .claude/skills/compliance-readiness
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Compliance Readiness in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Compliance Readiness on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Compliance Readiness is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/cs:compliance-readiness — Compliance Officer Forcing Questions

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.

When to Run

  • Before adopting a new compliance framework
  • Before annual audit calendar finalization
  • Before certification stage 1 readiness sign-off
  • Before management review (Clause 9.3 across frameworks)
  • When evidence-collection effort has grown 50%+ year-over-year (a smell)
  • When an audit produced > 15% critical findings

The Six Compliance Officer Questions

1. Have you named every applicable framework?

No framework selector run, no defensible scope.

  • Run framework_selector.py with company profile
  • Forgetting a framework means rebuilding the audit program later
  • Pay attention to industry-specific overlays (financial: NYDFS, FINMA; healthcare: HIPAA, ISO 13485; AI: ISO 42001 + EU AI Act)

2. Where do the frameworks overlap, and what's the reuse leverage?

Single evidence -> N controls = the cornerstone of multi-framework efficiency.

  • Run cross_framework_mapper.py with enabled frameworks
  • HIGH-confidence mappings: same evidence; MEDIUM: existing + overlay; LOW: new artefact
  • Without overlap analysis, you'll collect the same access-review records 3 times

3. Who owns each artefact, and what's the reuse-leverage score?

Joint ownership without accountability is the most common cause of stale evidence.

  • Run evidence_pool_generator.py for the artefact inventory
  • HIGH-leverage artefacts (≥ 5 mappings) get built first
  • Each artefact needs one accountable owner
  • Stale evidence is an effective gap — even if the artefact existed historically

4. What's the audit calendar, and is auditor independence respected?

Surveillance audits stacking in the same week is a smell.

  • Use per-framework audit-plan tools (aims_audit_scheduler, isms_audit_scheduler, audit_schedule_optimizer)
  • Auditor cannot audit their own work (Clause 9.2 across all ISO standards)
  • For small teams: rotate auditors + occasional external auditor

5. What does a mock audit produce, and is the severity distribution healthy?

No mock audit, no readiness signal.

  • Run audit_simulator.py with framework + scope
  • Healthy distribution: ≥ 40% observation, ≤ 15% critical
  • All-critical findings = destructive audit OR genuinely failing program
  • All-observation findings = audit too superficial

6. What's the management review cadence across frameworks?

Each framework wants its own management review; an integrated review (per Annex SL) saves 5x exec time.

  • Schedule one quarterly cross-framework review covering all enabled frameworks' Clause 9.3 inputs
  • Inputs: risk register changes, open nonconformities, audit findings, incidents, drift, KPIs
  • Outputs: action items, resource decisions, scope adjustments

Workflow

bash
# 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

Output Format

markdown
# 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]

Routing

  • /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)

Related

  • Agent: cs-compliance-officer
  • Skill: compliance-os
  • Adjacent: 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

Frequently asked questions

What does the Compliance Readiness AI skill do?

/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.

Why use Compliance Readiness on TypingMind?

Because you install it once and use it with any model. Compliance Readiness is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Compliance Readiness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/compliance-os/skills/compliance-readiness. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Compliance Readiness?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Compliance Readiness?

As many as you like. As long as a model supports skills, you can use Compliance Readiness with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Compliance Readiness AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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