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ai-gaoqian

AI Governance & Safety Intelligence

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-governance-intel
Description
Provides comprehensive analysis and comparison of global AI regulations, safety incidents, model evaluations, standards, and international governance for pol...
README (SKILL.md)

AI Governance & Safety Intelligence

The definitive AI governance intelligence engine. 25 authoritative sources covering every major regulatory framework (EU AI Act, US EO 14110, China GenAI Measures, OECD AI Observatory), 3,000+ AI incident records, frontier model evaluation benchmarks, and international cooperation frameworks. Built for policymakers, compliance officers, AI safety researchers, and anyone tracking the rapidly evolving AI governance landscape.

Triggers

  • "What AI regulations apply to [use case]?"
  • "Track EU AI Act compliance milestones"
  • "Compare AI governance: US vs. EU vs. China"
  • "Analyze latest AI safety incidents"
  • "Assess frontier model evaluation frameworks"
  • "Monitor international AI safety summit outcomes"
  • "Check ISO 42001 certification requirements"
  • "Research AI liability frameworks"

Capabilities

# Capability Data Scope Output Mode
1 Regulatory jurisdiction comparison 45+ jurisdictions: EU AI Act, US EO 14110, China GenAI Measures, UK AISI, CAIDP rankings Side-by-side table: risk classification, obligations, enforcement, penalties
2 Compliance timeline tracking EU AI Act 2024-2027 phased rollout, global milestones Gantt-style timeline: prohibited practices → GPAI rules → high-risk obligations → full enforcement
3 AI incident database analysis AIID (3,000+ incidents), OECD AIM, MIT 777-risk taxonomy Incident trending by harm type, root cause, deployer, sector, severity
4 Frontier model safety evaluation OpenAI Preparedness, Anthropic RSP (ASL 1-4), DeepMind Frontier Safety, METR, ARC Evals Capability threshold comparison, CBRN/cyber/autonomy benchmarks, evaluation methodology gap analysis
5 Standards & certification landscape ISO/IEC 42001, ISO 23894, IEEE 7000, CEN-CENELEC JTC 21, BSI Hub Certification roadmap, conformity assessment bodies, standard-to-regulation mapping
6 International AI governance cooperation UN AI Advisory Body, AI Safety Summit series (2023-2026), G7 Hiroshima AI Process, Global AISI Network (10+ institutes) Institutional mapping, mandate comparison, soft law vs. hard law trajectory
7 AI safety & alignment research landscape Anthropic, DeepMind, OpenAI, ARC Evals, METR, Epoch AI, CAIS, Redwood Research program comparison, key papers, open problems, scaling trajectory data
8 Compute governance & export controls BIS Entity List, GPU export restrictions, chip tracking proposals Hardware restriction tiers, impact assessment on AI capability diffusion, sovereign AI compute gap
9 Digital rights & AI ethics Access Now, AlgorithmWatch, STOP Facial recognition bans, predictive policing, automated decision audits, civil society position mapping
10 AI risk horizon scanning Integrated cross-source fusion Emerging risks: agentic AI, open-weight models, bio risk, labor displacement, elections integrity

Workflow

User Query
    │
    ├─ Regulatory compliance query → Jurisdiction comparison (Capability #1) + Timeline (Capability #2)
    │   └─ Output: Applicable frameworks table + compliance milestones + penalty exposure
    │
    ├─ Safety evaluation query → Frontier model eval (Capability #4) + Incidents (Capability #3)
    │   └─ Output: RSP/Preparedness level mapping + relevant incident patterns + residual risk assessment
    │
    ├─ International governance query → Cooperation tracking (Capability #6) + Standards (Capability #5)
    │   └─ Output: Institutional landscape + mandate mapping + harmonization gap analysis
    │
    ├─ Open-source AI debate query → Compute governance (Capability #8) + Digital rights (Capability #9)
    │   └─ Output: Pro/con analysis with evidence, regulatory trajectory in key jurisdictions
    │
    └─ Horizon scanning → Risk scanning (Capability #10) + Research landscape (Capability #7)
        └─ Output: Emerging risk dashboard + research direction watchlist + 12-month outlook

Output Formats

Format 1: Regulatory Comparison Matrix

| Jurisdiction | Risk Classification | Conformity Assessment | Transparency | Enforcement | Penalties |
|-------------|--------------------|----------------------|--------------|-------------|-----------|
| EU AI Act   | Unacceptable/High/Limited/Minimal | Third-party (High) | ✓ | EU Commission + MS | Up to 7% global turnover |
| US EO 14110 | Federal agency RMF | Self-assessment (voluntary) | ✓ (exec. branch) | NIST + OMB | Agency-level |
| China GenAI | Filing + algorithm registry | CAC review | ✓ | CAC | Service suspension |

Format 2: Frontier Model Safety Dashboard

| Model | Developer | Framework | CBRN Risk | Cyber Risk | Autonomy Risk | Persuasion Risk |
|-------|-----------|-----------|------------|------------|---------------|-----------------|

Format 3: AI Incident Trend Analysis

| Harm Type | 2023 | 2024 | 2025 | Trend | Most Affected Sector |
|-----------|------|------|------|-------|---------------------|

Usage Guidelines

  • Always cite regulatory source with effective date
  • Distinguish between enacted law, proposed regulation, and voluntary framework
  • Flag regulatory divergence as risks for cross-border deployment
  • Use AI incident data responsibly; note that underreporting biases exist
  • When assessing frontier models, reference the developer's own framework

Examples

Q: Do I need to comply with EU AI Act for my chatbot? → EU AI Act Article 5 (prohibited) + Article 6 (high-risk) + Article 52 (transparency for chatbots) → Classification: [transparency obligation only], requirements: [user disclosure, no other obligations], timeline: [effective now, full 2026]

Q: Compare US vs. China AI chip restrictions → BIS Entity List (SMIC, Huawei) + semiconductor export tiers + CAC algorithm registry → US restricts [GPU tiers T1-T3], China restricts [training data, algorithm filing], impact: [quantified]

Q: Latest frontier model safety incidents → AIID database query + OECD AIM + developer transparency reports → Top 3 incident categories: [deepfakes elections / autonomous agent failures / bias discrimination], trend: [increasing/decreasing]


Data Sources (25 total): See references/ai_governance_sources.json for complete listing with URLs and update frequencies. (内容由AI生成,仅供参考)

Usage Guidance
Installers should treat this as an informational research aid, not legal advice. Because AI regulation changes quickly, verify important compliance conclusions against primary official sources and current effective dates.
Capability Assessment
Purpose & Capability
The stated purpose is AI governance, regulation, safety incident, and standards analysis; the artifacts contain a SKILL.md with matching workflows and a JSON list of public reference sources.
Instruction Scope
Runtime instructions are limited to research-style outputs, citations, comparisons, and caveats such as distinguishing enacted law from proposals; there are no instructions to override user control, hide behavior, or perform unrelated actions.
Install Mechanism
The package contains only markdown and JSON reference data, with no declared dependencies, executable scripts, API-key requirement, or install-time commands.
Credentials
The skill points agents toward many external public sources and current regulatory topics, which is expected for its research purpose; users should still verify current law and dates before relying on outputs.
Persistence & Privilege
No persistence, background workers, credential use, local file indexing, privilege escalation, or mutation authority is present in the artifacts.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-governance-intel
  3. After installation, invoke the skill by name or use /ai-governance-intel
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Comprehensive AI governance intelligence engine. - Covers 25 authoritative sources, 3,000+ AI incident records, and major regulatory frameworks (EU AI Act, US EO 14110, China GenAI Measures, OECD, UK, etc.). - Supports regulatory comparison, compliance timeline tracking, AI safety/incident analysis, frontier model evaluation, and international cooperation monitoring. - Provides structured output formats (comparison matrices, incident trends, safety dashboards). - Designed for policymakers, compliance officers, researchers, and anyone tracking AI governance and safety. - Includes clear usage guidelines and practical examples for regulations, incidents, and risk assessments.
Metadata
Slug ai-governance-intel
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is AI Governance & Safety Intelligence?

Provides comprehensive analysis and comparison of global AI regulations, safety incidents, model evaluations, standards, and international governance for pol... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.

How do I install AI Governance & Safety Intelligence?

Run "/install ai-governance-intel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AI Governance & Safety Intelligence free?

Yes, AI Governance & Safety Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI Governance & Safety Intelligence support?

AI Governance & Safety Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AI Governance & Safety Intelligence?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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