An advanced governance engine providing comprehensive intelligence on global AI regulations, incident tracking, standards, and frontier model safety evaluation frameworks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-governance-intel
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-governance-intel using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Governance & Safety Intelligence?
The AI Governance & Safety Intelligence skill is a definitive analytical engine designed for policymakers, compliance officers, AI safety researchers, and legal tech professional. It synthesizes insights across 25 authoritative data sources covering major global regulatory frameworks such as the EU AI Act, US EO 14110, and China's GenAI Measures. This intelligence tier enables users to instantly cross-reference compliance benchmarks and stay ahead of the rapidly changing AI policy landscape.
By leveraging this tool within Openclaw Skills, engineering and compliance teams can automate complex regulatory analysis, audit third-party AI systems against international standards like ISO/IEC 42001, and trace capability thresholds from leading frontier safety models. The skill effectively bridges the gap between deep technical implementation and complex legal oversight.
AI Governance & Safety Intelligence Use Cases
- Determining specific compliance and transparency obligations for automated systems and chatbots.
- Monitoring multi-year regulatory timelines and phased enforcement rollouts across international jurisdictions.
- Reviewing historical failure modes by analyzing thousands of records in the AI Incident Database (AIID).
- Benchmarking frontier LLM risk thresholds across critical domains including cyber, CBRN, and autonomy.
- Structuring standard-to-regulation mapping matrices for ISO/IEC 42001 and IEEE audits.
How AI Governance & Safety Intelligence Works
- Query Ingestion: The agent parses user natural language prompts regarding legal compliance, safety risks, or compute limits.
- Jurisdictional & Database Routing: Based on the context, the skill queries corresponding data modules such as regulatory texts, the AIID database, or developer Responsible Scaling Policies (RSP).
- Cross-Source Fusion: Information is evaluated against regional parameters to flag regulatory divergence or technical capability thresholds.
- Structured Matrix Generation: The engine normalizes the data into technical dashboards, comparison matrices, or risk-horizon scanning logs.
AI Governance & Safety Intelligence Setup
Prerequisites
Ensure your local agent environment is fully updated to interface with the references structure.
Installation
Activate the repository skill module within your workspace configuration:
# Initialize the governance dataset dependencies
openclaw install skill-ai-governance
# Validate the 25 reference data hooks
openclaw test skill-ai-governance --verbose
AI Governance & Safety Intelligence Data Schema & Taxonomy
The skill manages localized registries and cross-border regulatory matrices. Primary datasets are maintained in structured configuration layers:
| Data Component | Format / Pathway | Content Scope |
|---|---|---|
| Core Sources Reference | references/ai_governance_sources.json |
25 JSON-mapped international source authorities, update frequencies, and documentation URLs. |
| Incident Metrics | Unified Taxonomy Matrix | Incident categorization mapping harm type, root cause, deployer, and sector impact. |
| Evaluation Metrics | Frontier safety dashboards | System tracking parameters mapping developer benchmarks (ASL 1-4, CBRN, and autonomy thresholds). |
AI Governance & Safety Intelligence Advanced Features
- Multi-Jurisdiction Divergence Analysis: Instantly highlights conflicts and operational risks when deploying a single model globally across the US, EU, and China.
- Horizon Scanning & Predictive Tracking: Generates a rolling 12-month risk watchlist evaluating agentic AI behaviors, open-weight diffusion risks, and sovereign compute limits.
- Dynamic Standard Harmonization Mapping: Correlates soft law initiatives, G7 Hiroshima processes, and hard law targets directly into actionable engineering roadmaps.
SKILL.md
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