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Agent Skill · 研究检索

gdpr-dsgvo-expert(GDPR DSGVO 专家)

gdpr-dsgvo-expert 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

gdpr-dsgvo-expert 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 2,359。

总安装 62,497周安装 2,553GitHub Stars 3下载 20,016核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.1.1

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:gdpr-dsgvo-expert(GDPR DSGVO 专家)
来源仓库:https://github.com/alirezarezvani/gdpr-dsgvo-expert
安装命令:
openclaw skills install gdpr-dsgvo-expert
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。

ClawHubOpenClaw
openclaw skills install gdpr-dsgvo-expert

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

gdpr-dsgvo-expert 实现 GDPR 和 DSGVO 合规自动化,降低数据保护违规风险。扫描代码库中的隐私漏洞,生成 DPIA 报告并跟踪数据主体请求。提供数据处理协议模板和同意管理机制设计建议。

安装命令:openclaw skills install gdpr-dsgvo-expert,需读取项目配置文件。处理个人数据时务必启用脱敏模式,禁止导出真实用户信息。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install gdpr-dsgvo-expert;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

gdpr-dsgvo-expert 怎么安装?

在终端执行 openclaw skills install gdpr-dsgvo-expert。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gdpr-dsgvo-expert 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gdpr-dsgvo-expert 需要什么权限?

权限级别是只读。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。

gdpr-dsgvo-expert 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gdpr-dsgvo-expert 用的人多吗?

公开数据是累计安装 62,497 次,近一周安装 2,553 次,下载 20,016 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gdpr-dsgvo-expert 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
gdpr-dsgvo-expert

GDPR DSGVO 专家 · 本页

62,4973只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
gdpr-dsgvo-expert
description
GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests. Use for GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, and data subject rights management.

GDPR/DSGVO Expert

Tools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.


Table of Contents

- GDPR Compliance Checker - DPIA Generator - Data Subject Rights Tracker


Tools

GDPR Compliance Checker

Scans codebases for potential GDPR compliance issues including personal data patterns and risky code practices.

# Scan a project directory
python scripts/gdpr_compliance_checker.py /path/to/project

# JSON output for CI/CD integration
python scripts/gdpr_compliance_checker.py . --json --output report.json

Detects:

  • Personal data patterns (email, phone, IP addresses)
  • Special category data (health, biometric, religion)
  • Financial data (credit cards, IBAN)
  • Risky code patterns:

- Logging personal data - Missing consent mechanisms - Indefinite data retention - Unencrypted sensitive data - Disabled deletion functionality

Output:

  • Compliance score (0-100)
  • Risk categorization (critical, high, medium)
  • Prioritized recommendations with GDPR article references

DPIA Generator

Generates Data Protection Impact Assessment documentation following Art. 35 requirements.

# Get input template
python scripts/dpia_generator.py --template > input.json

# Generate DPIA report
python scripts/dpia_generator.py --input input.json --output dpia_report.md

Features:

  • Automatic DPIA threshold assessment
  • Risk identification based on processing characteristics
  • Legal basis requirements documentation
  • Mitigation recommendations
  • Markdown report generation

DPIA Triggers Assessed:

  • Systematic monitoring (Art. 35(3)(c))
  • Large-scale special category data (Art. 35(3)(b))
  • Automated decision-making (Art. 35(3)(a))
  • WP29 high-risk criteria

Data Subject Rights Tracker

Manages data subject rights requests under GDPR Articles 15-22.

# Add new request
python scripts/data_subject_rights_tracker.py add \
  --type access --subject "John Doe" --email "john@example.com"

# List all requests
python scripts/data_subject_rights_tracker.py list

# Update status
python scripts/data_subject_rights_tracker.py status --id DSR-202601-0001 --update verified

# Generate compliance report
python scripts/data_subject_rights_tracker.py report --output compliance.json

# Generate response template
python scripts/data_subject_rights_tracker.py template --id DSR-202601-0001

Supported Rights:

RightArticleDeadline
AccessArt. 1530 days
RectificationArt. 1630 days
ErasureArt. 1730 days
RestrictionArt. 1830 days
PortabilityArt. 2030 days
ObjectionArt. 2130 days
Automated decisionsArt. 2230 days

Features:

  • Deadline tracking with overdue alerts
  • Identity verification workflow
  • Response template generation
  • Compliance reporting

Reference Guides

GDPR Compliance Guide

references/gdpr_compliance_guide.md

Comprehensive implementation guidance covering:

  • Legal bases for processing (Art. 6)
  • Special category requirements (Art. 9)
  • Data subject rights implementation
  • Accountability requirements (Art. 30)
  • International transfers (Chapter V)
  • Breach notification (Art. 33-34)

German BDSG Requirements

references/german_bdsg_requirements.md

German-specific requirements including:

  • DPO appointment threshold (§ 38 BDSG - 20+ employees)
  • Employment data processing (§ 26 BDSG)
  • Video surveillance rules (§ 4 BDSG)
  • Credit scoring requirements (§ 31 BDSG)
  • State data protection laws (Landesdatenschutzgesetze)
  • Works council co-determination rights

DPIA Methodology

references/dpia_methodology.md

Step-by-step DPIA process:

  • Threshold assessment criteria
  • WP29 high-risk indicators
  • Risk assessment methodology
  • Mitigation measure categories
  • DPO and supervisory authority consultation
  • Templates and checklists

Workflows

Workflow 1: New Processing Activity Assessment

Step 1: Run compliance checker on codebase
        → python scripts/gdpr_compliance_checker.py /path/to/code

Step 2: Review findings and compliance score
        → Address critical and high issues

Step 3: Determine if DPIA required
        → Check references/dpia_methodology.md threshold criteria

Step 4: If DPIA required, generate assessment
        → python scripts/dpia_generator.py --template > input.json
        → Fill in processing details
        → python scripts/dpia_generator.py --input input.json --output dpia.md

Step 5: Document in records of processing activities

Workflow 2: Data Subject Request Handling

Step 1: Log request in tracker
        → python scripts/data_subject_rights_tracker.py add --type [type] ...

Step 2: Verify identity (proportionate measures)
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update verified

Step 3: Gather data from systems
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update in_progress

Step 4: Generate response
        → python scripts/data_subject_rights_tracker.py template --id [ID]

Step 5: Send response and complete
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update completed

Step 6: Monitor compliance
        → python scripts/data_subject_rights_tracker.py report

Workflow 3: German BDSG Compliance Check

Step 1: Determine if DPO required
        → 20+ employees processing personal data automatically
        → OR processing requires DPIA
        → OR business involves data transfer/market research

Step 2: If employees involved, review § 26 BDSG
        → Document legal basis for employee data
        → Check works council requirements

Step 3: If video surveillance, comply with § 4 BDSG
        → Install signage
        → Document necessity
        → Limit retention

Step 4: Register DPO with supervisory authority
        → See references/german_bdsg_requirements.md for authority list

Key GDPR Concepts

Legal Bases (Art. 6)

  • Consent: Marketing, newsletters, analytics (must be freely given, specific, informed)
  • Contract: Order fulfillment, service delivery
  • Legal obligation: Tax records, employment law
  • Legitimate interests: Fraud prevention, security (requires balancing test)

Special Category Data (Art. 9)

Requires explicit consent or Art. 9(2) exception:

  • Health data
  • Biometric data
  • Racial/ethnic origin
  • Political opinions
  • Religious beliefs
  • Trade union membership
  • Genetic data
  • Sexual orientation

Data Subject Rights

All rights must be fulfilled within 30 days (extendable to 90 for complex requests):

  • Access: Provide copy of data and processing information
  • Rectification: Correct inaccurate data
  • Erasure: Delete data (with exceptions for legal obligations)
  • Restriction: Limit processing while issues are resolved
  • Portability: Provide data in machine-readable format
  • Object: Stop processing based on legitimate interests

German BDSG Additions

TopicBDSG SectionKey Requirement
DPO threshold§ 3820+ employees = mandatory DPO
Employment§ 26Detailed employee data rules
Video§ 4Signage and proportionality
Scoring§ 31Explainable algorithms

平台分布

OpenClaw

84.56%
按下载量换算16,926

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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