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eu-ai-act-compliance欧盟 AI 法案合规性

Agent Skill

eu-ai-act-compliance 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,517

周安装

107

GitHub Stars

公开资料未说明

下载量

882
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:eu-ai-act-compliance(欧盟 AI 法案合规性)
来源仓库:https://github.com/rochyroch/eu-ai-act-compliance
安装命令:
openclaw skills install eu-ai-act-compliance
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

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openclaw skills install eu-ai-act-compliance

简介

按欧盟人工智能法案风险级别对人力资源人工智能系统进行分类,提供合规差距分析,并为招聘和劳动力规划工具建议补救步骤。

SKILL.md

EU AI Act Compliance Skill

Purpose

Classify AI systems used in HR and recruitment contexts according to EU AI Act risk categories and generate compliance gap reports with remediation recommendations.

When to Use

Use this skill when:

  • A user asks about whether their AI system is "high-risk"
  • They need to assess compliance with EU AI Act requirements
  • They're implementing AI in recruitment, HR management, or workforce planning
  • They need documentation for regulatory compliance

How It Works

Step 1: Gather Information

Ask the following clarifying questions to understand the AI system:

  1. Use Case: What specific HR or recruitment function does the AI perform?

- CV screening or parsing - Candidate ranking or shortlisting - Interview scheduling - Employee performance assessment - Workforce planning or forecasting - Other (specify)

  1. Data Processed: What types of data does the AI process?

- Personal data (name, contact details) - Professional qualifications - Employment history - Performance data - Biometric data - Inferences or predictions about individuals

  1. Decision Impact: What decisions are influenced or made by the AI?

- Automatic decisions (no human review) - Recommendations that inform human decisions - Filtering that affects candidate pools - Scoring or ranking of individuals - Other outcomes

  1. Human Oversight: What human oversight mechanisms exist?

- Human review before final decisions - Ability to override AI recommendations - Appeal or review process for affected individuals - Documentation of human involvement

  1. Deployment Context: Where will the AI be deployed?

- Public sector (subject to SI 284/2016 procurement rules) - Private sector - Cross-border processing - Irish-specific regulatory requirements

Step 2: Determine Risk Classification

Based on the information gathered, classify according to EU AI Act risk categories:

High-Risk Systems (Annex III, Article 6(2))

AI systems in HR are presumed high-risk if they:

  1. Recruitment or selection systems (Annex III, 4.(a)):

- CV screening and parsing - Candidate ranking or scoring - Interview scheduling that affects opportunities - Assessment tools for selection

  1. Employment, worker management, access to self-employment (Annex III, 4.(b)):

- Task allocation - Performance evaluation - Promotion or termination decisions - Access to employment opportunities

Medium-Risk Systems

Systems that:

  • Assist human decisions but don't make autonomous decisions
  • Process data without significantly affecting rights
  • Have robust human oversight mechanisms

Minimal-Risk Systems

Systems that:

  • Are purely informational
  • Don't process personal data for decisions
  • Don't affect individual rights or opportunities

Step 3: Generate Compliance Gap Report

For high-risk systems, assess against:

RequirementArticleStatusGapPriority
Risk management systemArt. 9
Data governanceArt. 10
Technical documentationArt. 11
Record-keepingArt. 12
TransparencyArt. 13
Human oversightArt. 14
Accuracy & robustnessArt. 15
Conformity assessmentArt. 43-48

Step 4: Provide Remediation Steps

Recommend specific actions based on gaps identified:

  1. Immediate actions (0-30 days): Critical compliance gaps
  2. Short-term actions (30-90 days): Documentation and process gaps
  3. Long-term actions (90+ days): System improvements and monitoring

Step 5: Reference Relevant Guidance

Always cite:

  • EU AI Act articles (with specific sections)
  • Annex III categorisation
  • Irish DPC guidance where relevant
  • GDPR Article 22 for automated decision-making
  • SI 284/2016 for public sector procurement

Reference Files

This skill includes detailed references:

  • references/article-14-checklist.md — Human oversight requirements
  • references/gdpr-ai-intersection.md — GDPR and AI intersection
  • references/recruitment-risk-assessment.md — Recruitment-specific risks
  • references/irish-employment-context.md — Irish regulatory context

Output Format

Provide structured output:

## AI System Risk Classification

**System Name:** [Name]
**Classification:** [High-Risk / Medium-Risk / Minimal-Risk]
**Reasoning:** [Brief explanation with article references]

## Compliance Gap Report

[Gap analysis table]

## Recommended Actions

### Immediate (0-30 days)
- [Action 1]
- [Action 2]

### Short-term (30-90 days)
- [Action 1]
- [Action 2]

### Long-term (90+ days)
- [Action 1]
- [Action 2]

## Relevant References

- [EU AI Act Article X]
- [Irish DPC Guidance Y]
- [GDPR Article 22]

Important Notes

  • Presumption of high-risk: HR AI systems listed in Annex III are presumed high-risk regardless of the specific risk they pose. This is a legal presumption, not a risk assessment.
  • Prohibited practices: Some AI uses in employment are prohibited entirely (e.g., emotional recognition in workplace). Always check Article 5 prohibitions first.
  • Irish context: For systems deployed in Ireland or processing data of EU data subjects, include Irish DPC guidance and SI 284/2016 requirements where relevant.

*This skill is for informational purposes only. It does not constitute legal advice. Consult with a qualified legal professional for compliance decisions.*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.72%
按下载量换算835

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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