aia-generation

Generate AI governance risk ratings and compliance evaluation reports.

183|37|Updated May 15, 2026
One-click install
npx skills add https://github.com/zhou210712/claude-for-legal-ZH --skill aia-generation-zhou210712
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aia-generation
Source: https://github.com/zhou210712/claude-for-legal-ZH/tree/main/ai-governance-legal/skills/aia-generation
Command: npx skills add https://github.com/zhou210712/claude-for-legal-ZH --skill aia-generation-zhou210712

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill generates an AI system risk rating and compliance-focused assessment so teams can meet Chinese AI governance obligations and respond with clear remediation actions.

Core Features & Use Cases

  • Fast/Comprehensive dual-track evaluation to match internal low-risk tools versus high-risk deployments and material changes.
  • Regulatory obligations mapping across applicable Chinese AI governance rules, aligning risk level with required assessments.
  • Actionable outputs including a risk rating, evidence/gaps, responsible owner, and due dates, plus optional ethics review triggers.

Quick Start

Run /ai-governance-legal:aia-generation "客户信用评分模型 v2" to generate a rapid or comprehensive AI impact assessment based on the system description and configured compliance registers.

Frequently Asked Questions about aia-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an AI impact assessment for algorithm filing under Chinese AI governance rules?

AI impact assessment generation maps your proposed or existing AI system descriptions against Chinese AI governance rules to produce a risk rating, compliance evaluation report, and remediation actions. It aligns your system inventory with required regulatory obligations for algorithm filing.

What is the difference between fast and comprehensive AI risk assessment tracks?

AI risk assessment tracks differentiate by deployment scope: fast evaluation suits internal low-risk tools, while comprehensive evaluation targets high-risk deployments and material system changes. Both generate regulator-aligned risk ratings with mapped obligations and execution-ready remediation plans.

When do I need to trigger an ethics review for AI regulatory compliance?

Ethics review triggers for AI regulatory compliance activate during comprehensive evaluations of high-risk deployments or significant scope changes. The assessment output includes optional ethics review flags based on the configured compliance register and system inventory risk level.

Can I use automated compliance evaluation reports for periodic AI system recertification?

Compliance evaluation reports support periodic AI system recertification by generating regulator-aligned determinations with evidence gaps, responsible owners, and due dates. They apply directly to internal audits and deployment scope changes requiring updated impact assessments.

How do I map regulatory obligations to my AI system inventory for risk assessment?

Regulatory obligations mapping applies your configured compliance register and system inventory to evaluate AI systems against applicable Chinese AI governance rules. It produces a risk rating with mapped obligations, evidence gaps, and execution-ready remediation actions.