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Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "AI Compliance Readiness Assessment", "body": "Evaluate organizational readiness for AI governance regulations and generate an actionable compliance roadmap." }, { "title": "When to Use", "body": "Assessing AI compliance posture before an audit\nPreparing for EU AI Act (Aug 2026), HHS AI mandates, NIST AI RMF\nBuilding a governance roadmap for AI deployments\nEvaluating risk exposure from current AI usage" }, { "title": "How to Use", "body": "When asked to assess AI compliance readiness, gather these inputs:" }, { "title": "Required Inputs", "body": "Industry (legal, healthcare, financial-services, insurance, construction, manufacturing, government, other)\nCompany size (employees or revenue range)\nAI systems in use (list: chatbots, document review, fraud detection, hiring tools, customer service, analytics, other)\nJurisdictions (US-only, EU-exposed, both, global)" }, { "title": "Optional Inputs", "body": "Current governance framework (if any)\nUpcoming audit dates\nExisting compliance certifications (SOC2, ISO 27001, HIPAA, etc.)\nNumber of AI vendors/tools in use" }, { "title": "Assessment Framework", "body": "Score each dimension 1-5 (1=no controls, 5=mature):" }, { "title": "8 Dimensions", "body": "Risk Classification — Have you categorized AI systems by risk level per EU AI Act / NIST?\nDocumentation — Technical docs, model cards, data lineage for each AI system?\nHuman Oversight — Defined human-in-the-loop processes for high-risk decisions?\nBias & Fairness — Regular bias audits, fairness metrics, disparate impact testing?\nData Governance — Training data provenance, consent, retention, and deletion policies?\nIncident Response — AI-specific incident playbook, reporting procedures, rollback plans?\nVendor Management — AI vendor risk assessments, contractual AI governance requirements?\nAudit Trail — Logging, explainability, decision traceability for AI-assisted outputs?" }, { "title": "Scoring", "body": "35-40: Compliance-ready — minor gaps to address\n25-34: Partially prepared — significant work needed in specific areas\n15-24: High risk — major gaps across multiple dimensions\n8-14: Critical — immediate action required before any regulatory review" }, { "title": "Output Format", "body": "Generate a report with:\n\nExecutive Summary — Overall score, risk level, top 3 gaps\nDimension Scores — Table with score, evidence, and gap description per dimension\nRegulatory Exposure — Which regulations apply and key deadlines:\n\nEU AI Act: Aug 2, 2026 (high-risk system requirements)\nHHS AI Transparency: April 3, 2026 (healthcare)\nNIST AI RMF: Ongoing (federal contractors + best practice)\nState bar AI rules: Varies (legal industry)" } ], "body": "AI Compliance Readiness Assessment\n\nEvaluate organizational readiness for AI governance regulations and generate an actionable compliance roadmap.\n\nWhen to Use\nAssessing AI compliance posture before an audit\nPreparing for EU AI Act (Aug 2026), HHS AI mandates, NIST AI RMF\nBuilding a governance roadmap for AI deployments\nEvaluating risk exposure from current AI usage\nHow to Use\n\nWhen asked to assess AI compliance readiness, gather these inputs:\n\nRequired Inputs\nIndustry (legal, healthcare, financial-services, insurance, construction, manufacturing, government, other)\nCompany size (employees or revenue range)\nAI systems in use (list: chatbots, document review, fraud detection, hiring tools, customer service, analytics, other)\nJurisdictions (US-only, EU-exposed, both, global)\nOptional Inputs\nCurrent governance framework (if any)\nUpcoming audit dates\nExisting compliance certifications (SOC2, ISO 27001, HIPAA, etc.)\nNumber of AI vendors/tools in use\nAssessment Framework\n\nScore each dimension 1-5 (1=no controls, 5=mature):\n\n8 Dimensions\nRisk Classification — Have you categorized AI systems by risk level per EU AI Act / NIST?\nDocumentation — Technical docs, model cards, data lineage for each AI system?\nHuman Oversight — Defined human-in-the-loop processes for high-risk decisions?\nBias & Fairness — Regular bias audits, fairness metrics, disparate impact testing?\nData Governance — Training data provenance, consent, retention, and deletion policies?\nIncident Response — AI-specific incident playbook, reporting procedures, rollback plans?\nVendor Management — AI vendor risk assessments, contractual AI governance requirements?\nAudit Trail — Logging, explainability, decision traceability for AI-assisted outputs?\nScoring\n35-40: Compliance-ready — minor gaps to address\n25-34: Partially prepared — significant work needed in specific areas\n15-24: High risk — major gaps across multiple dimensions\n8-14: Critical — immediate action required before any regulatory review\nOutput Format\n\nGenerate a report with:\n\nExecutive Summary — Overall score, risk level, top 3 gaps\nDimension Scores — Table with score, evidence, and gap description per dimension\nRegulatory Exposure — Which regulations apply and key deadlines:\nEU AI Act: Aug 2, 2026 (high-risk system requirements)\nHHS AI Transparency: April 3, 2026 (healthcare)\nNIST AI RMF: Ongoing (federal contractors + best practice)\nState bar AI rules: Varies (legal industry)" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/1kalin/compliance-readiness", "publisherUrl": "https://clawhub.ai/1kalin/compliance-readiness", "owner": "1kalin", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/compliance-readiness", "downloadUrl": "https://openagent3.xyz/downloads/compliance-readiness", "agentUrl": "https://openagent3.xyz/skills/compliance-readiness/agent", "manifestUrl": "https://openagent3.xyz/skills/compliance-readiness/agent.json", "briefUrl": "https://openagent3.xyz/skills/compliance-readiness/agent.md" } }