AI Compliance

v1.1.0

AI compliance analysis for EU AI Act, ISO 42001, NIST AI RMF, GDPR, OECD, financial services regulations (SEC, FCA, FINRA, DORA, MiFID II), and other framewo...

0· 293· 2 versions· 0 current· 0 all-time· Updated 22h ago· MIT-0

Install

openclaw skills install ai-compliance

AI Compliance Skill

Reference Files

Load only what's needed based on the request type:

Frameworks

  • EU AI Actreferences/eu-ai-act.md — risk tiers, prohibited uses, obligations
  • ISO 42001references/iso-42001.md — clauses, Annex A controls
  • NIST AI RMFreferences/nist-ai-rmf.md — GOVERN/MAP/MEASURE/MANAGE
  • GDPR, OECD, IEEE, UK, Singaporereferences/other-frameworks.md
  • Financial services (SEC, FCA, FINRA, DORA, MiFID II, MNPI)references/finserv-regulations.md
  • Jurisdiction map (global regulatory landscape)references/jurisdiction-map.md
  • ISO 27001 alignmentreferences/iso27001-alignment.md

Output Templates & Tools

  • Checklists, risk assessment, gap analysis templatesreferences/checklist-templates.md
  • Vendor AI risk assessment questionnairereferences/vendor-assessment.md
  • Acceptable use policy templatereferences/aup-template.md
  • Data classification × AI tool matrixreferences/data-classification.md
  • AI system inventory templatereferences/ai-inventory.md
  • AI risk scoring model (0–100)references/risk-scoring.md
  • Training requirements by rolereferences/training-requirements.md

Remediation

  • Incident response playbooksreferences/incident-response.md
  • Remediation playbooks (common gaps)references/remediation-playbooks.md

When in doubt about which files to load, load the framework files + the relevant output template.

Workflow

1. Understand the AI Tool/Use Case

Gather (or ask for):

  • What does the AI system do? (intended purpose)
  • Who uses it and how? (internal staff, customers, automated pipeline)
  • What data does it process? (personal, financial, confidential, public)
  • Where is it deployed? (EU context? affecting EU residents?)
  • Consumer or enterprise tier? Third-party or internal?

2. Select Output Type

RequestLoadOutput
Compliance checklistFramework files + checklist-templates.mdFull checklist per Template 1
Risk assessment needed?eu-ai-act.md + checklist-templates.mdRisk tier determination per Template 2
Gap analysisAll framework files + checklist-templates.mdGap table per Template 3
Risk scorerisk-scoring.mdScored worksheet + risk level
Vendor assessmentvendor-assessment.mdQuestionnaire + scoring
AUP draftaup-template.mdCustomized policy draft
Data classification guidancedata-classification.mdMatrix + decision tree
Incident responseincident-response.mdRelevant playbook
Remediation stepsremediation-playbooks.mdRelevant playbook(s)
Financial services overlayfinserv-regulations.mdRegulatory requirements
Training requirementstraining-requirements.mdRole-based matrix
Jurisdiction guidancejurisdiction-map.mdApplicable rules by region

3. Output Structure

Always structure output as:

## AI Compliance Assessment: [Tool/Use Case Name]
### Risk Classification
### Applicable Frameworks
### Compliance Checklist (or Gap Analysis or Risk Score)
### Issues Found
### Recommendations
### Priority Actions

Key Principles

  • Reference exact articles, clauses, controls (e.g., "EU AI Act Art.14", "ISO 42001 A.6.1", "NIST GOVERN 1.2")
  • Flag HIGH/CRITICAL severity issues prominently — these are blockers
  • Always include remediation steps, not just gaps — link to remediation-playbooks.md when relevant
  • Cross-reference frameworks where they overlap
  • For financial services firms: always check finserv-regulations.md for MNPI and sector-specific rules
  • When uncertain about risk tier, err toward higher risk classification

Version tags

latestvk978fqvzp6aht7v2n9q35w401182vw38