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afrexai-cto

Compliance Readiness

by afrexai-cto · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install afrexai-compliance-readiness
Description
AI Compliance Readiness Assessment — evaluate how prepared an organization is for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar...
README (SKILL.md)

AI Compliance Readiness Assessment

Evaluate organizational readiness for AI governance regulations and generate an actionable compliance roadmap.

When to Use

  • Assessing AI compliance posture before an audit
  • Preparing for EU AI Act (Aug 2026), HHS AI mandates, NIST AI RMF
  • Building a governance roadmap for AI deployments
  • Evaluating risk exposure from current AI usage

How to Use

When asked to assess AI compliance readiness, gather these inputs:

Required Inputs

  1. Industry (legal, healthcare, financial-services, insurance, construction, manufacturing, government, other)
  2. Company size (employees or revenue range)
  3. AI systems in use (list: chatbots, document review, fraud detection, hiring tools, customer service, analytics, other)
  4. Jurisdictions (US-only, EU-exposed, both, global)

Optional Inputs

  • Current governance framework (if any)
  • Upcoming audit dates
  • Existing compliance certifications (SOC2, ISO 27001, HIPAA, etc.)
  • Number of AI vendors/tools in use

Assessment Framework

Score each dimension 1-5 (1=no controls, 5=mature):

8 Dimensions

  1. Risk Classification — Have you categorized AI systems by risk level per EU AI Act / NIST?
  2. Documentation — Technical docs, model cards, data lineage for each AI system?
  3. Human Oversight — Defined human-in-the-loop processes for high-risk decisions?
  4. Bias & Fairness — Regular bias audits, fairness metrics, disparate impact testing?
  5. Data Governance — Training data provenance, consent, retention, and deletion policies?
  6. Incident Response — AI-specific incident playbook, reporting procedures, rollback plans?
  7. Vendor Management — AI vendor risk assessments, contractual AI governance requirements?
  8. Audit Trail — Logging, explainability, decision traceability for AI-assisted outputs?

Scoring

  • 35-40: Compliance-ready — minor gaps to address
  • 25-34: Partially prepared — significant work needed in specific areas
  • 15-24: High risk — major gaps across multiple dimensions
  • 8-14: Critical — immediate action required before any regulatory review

Output Format

Generate a report with:

  1. Executive Summary — Overall score, risk level, top 3 gaps
  2. Dimension Scores — Table with score, evidence, and gap description per dimension
  3. Regulatory Exposure — Which regulations apply and key deadlines:
    • EU AI Act: Aug 2, 2026 (high-risk system requirements)
    • HHS AI Transparency: April 3, 2026 (healthcare)
    • NIST AI RMF: Ongoing (federal contractors + best practice)
    • State bar AI rules: Varies (legal industry)
Usage Guidance
This instruction-only skill appears internally consistent and carries low technical risk because it asks users for information and produces a report without requesting credentials or installing code. Before installing or relying on its output: (1) verify the vendor/source since the registry entry lacks a public homepage — confirm trust and support channels; (2) avoid pasting sensitive secrets or PHI directly into the agent — feed only the minimum required, or anonymize data; (3) treat the generated compliance recommendations as advisory and have legal/compliance teams review them before taking action; (4) if you plan to integrate this into automated workflows, audit any agent that will invoke it for appropriate access controls.
Capability Analysis
Type: OpenClaw Skill Name: afrexai-compliance-readiness Version: 1.0.1 The skill bundle is a purely informational tool designed to guide an AI agent through conducting an AI compliance readiness assessment. It contains no executable code, network requests, or instructions that could lead to data exfiltration or system compromise. The content in SKILL.md and README.md is strictly aligned with its stated purpose of evaluating regulatory readiness (e.g., EU AI Act, NIST AI RMF).
Capability Assessment
Purpose & Capability
Name, description, README and SKILL.md all describe an AI compliance-readiness assessment and the inputs/outputs requested are consistent with that purpose. No unrelated credentials, binaries, or config paths are required. Minor note: registry metadata lists an owner ID and README names AfrexAI/Clawhub but there is no homepage URL in the registry entry — that reduces third-party traceability but does not conflict with functionality.
Instruction Scope
SKILL.md only instructs the agent to gather user-provided organizational inputs, score 8 dimensions, and produce a report. It does not instruct reading local files, accessing environment variables, contacting external endpoints, or transmitting data to unknown destinations.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install model; nothing is written to disk or fetched at install time.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for secrets or system-level access, which is proportionate to an assessment/reporting skill.
Persistence & Privilege
always:false and user-invocable:true (defaults). The skill does not request persistent presence or privileged modification of other skills/config; autonomous invocation is not disabled but that is the platform default and there are no other red flags increasing risk.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install afrexai-compliance-readiness
  3. After installation, invoke the skill by name or use /afrexai-compliance-readiness
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added README.md file introducing user guidance and details for the AI Compliance Readiness Assessment skill. - No changes to functionality or assessment framework; documentation only. - This update improves onboarding and clarity for users evaluating AI governance compliance.
v1.0.0
- Initial release of the AI Compliance Readiness Assessment skill. - Evaluates organizational preparedness for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar AI rules). - Scores AI compliance readiness across 8 key dimensions and generates actionable compliance roadmaps. - Designed for use in audit planning, gap analysis, and governance roadmap development. - Produces structured reports with executive summaries, detailed scoring tables, and regulatory exposure highlights.
Metadata
Slug afrexai-compliance-readiness
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Compliance Readiness?

AI Compliance Readiness Assessment — evaluate how prepared an organization is for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar... It is an AI Agent Skill for Claude Code / OpenClaw, with 229 downloads so far.

How do I install Compliance Readiness?

Run "/install afrexai-compliance-readiness" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Compliance Readiness free?

Yes, Compliance Readiness is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Compliance Readiness support?

Compliance Readiness is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Compliance Readiness?

It is built and maintained by afrexai-cto (@afrexai-cto); the current version is v1.0.1.

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