reg-gap-analysis

Compare AI regulations against governance controls to identify compliance gaps.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

它帮助你把新出台或修订的AI法规要求,和你当前已落地的AI系统清单、监管注册表与内部AI使用政策做对比,从而快速判断差距在哪里、要补什么、谁负责以及截止到什么时候。

Core Features & Use Cases

  • Regulatory scope check:先界定该法规是否适用于你的业务、系统类型与数据/服务阈值,并识别生效与过渡时间点。
  • Structured requirement extraction:把法规要求拆成离散条目(如训练数据、透明度、安全、备案、伦理、治理与责任),便于逐项核对。
  • Gap + remediation plan tracker:输出差距清单与整改计划(含负责人、日期、优先级、必须/应当/已合规/风险接受的分组),并形成带日期的留痕文档。

Quick Start

使用回应该技能的参数说明,输入要分析的法规名称,例如“生成式人工智能服务管理办法”,并让它基于你本地的 CLAUDE.md 中的AI系统清单、监管注册表与政策承诺完成差距分析与整改计划生成。

Frequently Asked Questions about reg-gap-analysis

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

FAQPage Schema
How do I perform an AI compliance gap analysis against new regulations?

AI compliance gap analysis compares newly issued AI regulations against your current AI governance controls to identify compliance deltas. It extracts discrete regulatory requirements, checks applicability against business thresholds, and produces a prioritized gap list with remediation actions, responsible owners, and deadlines.

What is regulatory scope checking for AI laws and when do I need it?

Regulatory scope checking determines whether a specific AI law applies to your business, system types, and data or service thresholds before you invest in compliance. You need it when new AI regulations are issued or revised, so you can identify applicability, effective dates, and transition periods to avoid unnecessary remediation.

How do I create a remediation plan for AI regulatory compliance gaps?

Creating a remediation plan for AI regulatory gaps involves grouping identified deltas into categories like must-fix, should-fix, already-compliant, or risk-accepted. The process outputs a structured tracker with prioritized remediation actions, assigned responsible owners, target deadlines, and a dated compliance documentation record for audit trails.

Can I extract structured requirement matrices from pasted AI regulation text?

Yes, you can perform AI regulatory gap assessments directly from pasted regulatory text or summaries. The process extracts structured requirement matrices by breaking regulations into discrete items like training data, transparency, safety, filing, ethics, governance, and accountability for itemized gap checking against existing policies.

Does this compliance gap analysis work with my existing AI system inventory and governance documentation?

Compliance gap analysis works by comparing new AI regulations against your local AI system inventory, regulatory registry, and internal AI usage policies. It requires your existing governance documentation to establish a baseline, then identifies deltas and generates remediation actions scoped to your applicable jurisdictions and system thresholds.

What limitations exist when analyzing AI regulations with automated gap assessment?

Automated AI regulation gap assessment is limited by the accuracy of your existing governance documentation and the completeness of pasted regulatory text. It cannot replace legal counsel for final applicability determinations, and outputs must be reviewed to ensure responsible owners and deadlines align with your actual operational capacity.