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ai-inventory

Classify AI system roles and risk tiers while mapping China regulatory obligations.

183|37|Updated May 15, 2026
Search Tags:#ai governance#risk classification#regulatory mapping#ai system inventory#provider vs user#algorithm compliance#china ai regulation
One-click install
npx skills add https://github.com/zhou210712/claude-for-legal-ZH --skill ai-inventory-zhou210712
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-inventory
Source: https://github.com/zhou210712/claude-for-legal-ZH/tree/main/ai-governance-legal/skills/ai-inventory
Command: npx skills add https://github.com/zhou210712/claude-for-legal-ZH --skill ai-inventory-zhou210712

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you systematically inventory your AI systems, determine whether you are an AI service provider or a user, classify risk levels, and map the resulting regulatory obligations under China’s AI-related rules—so you can prepare for initial deployment, annual audits, and reclassification when regulations change.

Core Features & Use Cases

  • Role & risk classification: For each AI system, it determines whether you act as a provider, user, or dual role, then assigns a risk tier (high/mid/low/not applicable).
  • Regulatory obligation mapping: It maps compliance duties based on role and risk tier, including generated-AI safety assessments, algorithm record filing, ethics review, personal information impact assessments, transparency, deep-synthesis labeling, and complaint/reporting mechanisms.
  • Full inventory audit support: With --full, it processes every system in your existing inventory, performs consistency cross-checks, identifies inventory gaps, and highlights regulatory coverage gaps.

Quick Start

Use the ai-inventory skill to classify one system named 智能客服系统 v3.

Frequently Asked Questions about ai-inventory

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

FAQPage Schema
How do I build an AI system inventory for China AI regulation compliance?▼

Mapping AI regulatory obligations requires determining whether you act as an AI service provider or user, assigning a risk tier like high or low, and mapping duties such as algorithm record filing, ethics review, and generated-AI safety assessments accordingly.

What is provider vs user classification in AI governance?▼

Provider vs user classification in AI governance identifies whether your organization develops or deploys the AI system, or both. This dual role determination is critical because it dictates the specific China regulatory duties and risk classification assigned to your inventory entry.

How do I conduct a full AI system inventory audit for annual reviews?▼

To conduct a full AI system inventory audit for annual reviews, use the full audit mode to process every system, perform consistency cross-checks, identify inventory gaps, and highlight regulatory coverage gaps across your entire AI governance portfolio.

How does algorithm compliance risk classification work for generated AI?▼

Algorithm compliance risk classification for generated AI assigns each system a risk tier of high, mid, low, or not applicable, which then triggers specific regulatory mapping like deep-synthesis labeling, transparency requirements, and safety assessments.

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