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Agent Skill · 运维和基础设施

implementing-gdpr-data-protection-controls(实施 GDPR 数据保护控制)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

implementing-gdpr-data-protection-controls 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 2,369。

总安装 194周安装 8GitHub Stars 5,899下载 63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
unknown

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:implementing-gdpr-data-protection-controls(实施 GDPR 数据保护控制)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/implementing-gdpr-data-protection-controls
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-gdpr-data-protection-controls
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-gdpr-data-protection-controls

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

用于辅助数据整理、异常检测和统计口径生成,支持 CSV/Excel 分析。适用于 Codex、Claude、Cursor 和 Gemini CLI 中的数据处理任务。通过 GitHub 仓库安装,需确认数据来源和时间范围准确性。涉及敏感数据时应先进行脱敏并确认导出权限边界。

implementing-gdpr-data-protection-controls 属于运维和基础设施类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/implementing-gdpr-data-protection-controls

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

implementing-gdpr-data-protection-controls 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implemen…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

implementing-gdpr-data-protection-controls 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

implementing-gdpr-data-protection-controls 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

implementing-gdpr-data-protection-controls 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

implementing-gdpr-data-protection-controls 用的人多吗?

公开数据是累计安装 194 次,近一周安装 8 次,下载 63 次,GitHub 5,899 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。

implementing-gdpr-data-protection-controls 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 5,899 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
implementing-gdpr-data-protection-controls

实施 GDPR 数据保护控制 · 本页

1945,899需要联网未明确通过

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

Implementing GDPR Data Protection Controls

Overview

The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill covers implementing the technical and organizational measures required by GDPR, including data protection by design and by default, Data Protection Impact Assessments (DPIAs), data subject rights management, breach notification procedures, and cross-border data transfer mechanisms.

When to Use

  • When deploying or configuring implementing gdpr data protection controls capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Understanding of EU data protection law and its territorial scope
  • Knowledge of personal data processing activities within the organization
  • Familiarity with data architecture, databases, and application systems
  • Understanding of data flows including cross-border transfers

Core Concepts

Key GDPR Articles for Technical Controls

ArticleRequirement
Art. 5Principles: lawfulness, purpose limitation, data minimization, accuracy, storage limitation, integrity and confidentiality, accountability
Art. 6Lawful basis for processing (consent, contract, legal obligation, vital interests, public task, legitimate interest)
Art. 25Data protection by design and by default
Art. 28Processor obligations and contractual requirements
Art. 30Records of processing activities (ROPA)
Art. 32Security of processing (technical and organizational measures)
Art. 33Breach notification to supervisory authority (72 hours)
Art. 34Communication of breach to data subjects
Art. 35Data Protection Impact Assessment (DPIA)
Art. 37-39Data Protection Officer (DPO) appointment and role
Art. 44-49Cross-border data transfers (adequacy, SCCs, BCRs)

Article 32 Security Measures

The regulation requires organizations to implement measures appropriate to the risk:

  • Pseudonymization and encryption of personal data
  • Confidentiality, integrity, availability, and resilience of processing systems
  • Ability to restore availability and access to personal data in a timely manner
  • Regular testing and evaluation of technical and organizational measures

Data Subject Rights (Articles 12-22)

RightArticleDescription
Right to be informed13-14Transparent information about processing
Right of access15Obtain copy of personal data
Right to rectification16Correct inaccurate data
Right to erasure17"Right to be forgotten"
Right to restrict processing18Limit processing of data
Right to data portability20Receive data in machine-readable format
Right to object21Object to processing (especially direct marketing)
Automated decision-making22Not be subject to solely automated decisions

Workflow

Phase 1: Data Mapping and Assessment (Weeks 1-6)

  1. Create comprehensive data inventory:

- What personal data is collected - From whom (data subjects) - Why (purposes and lawful bases) - Where it's stored (systems, locations, countries) - Who has access (internal and external) - How long it's retained - What security measures protect it

  1. Document Records of Processing Activities (ROPA) per Article 30
  2. Identify lawful basis for each processing activity
  3. Map cross-border data transfers and transfer mechanisms
  4. Identify processing activities requiring DPIA

Phase 2: Gap Analysis and Risk Assessment (Weeks 7-10)

  1. Assess current state against GDPR requirements
  2. Perform DPIAs for high-risk processing activities
  3. Identify security gaps in Article 32 compliance
  4. Evaluate data retention compliance
  5. Assess data subject rights request handling capabilities

Phase 3: Technical Controls Implementation (Weeks 11-24)

  1. Encryption:

- Data at rest: AES-256 for databases, file systems, backups - Data in transit: TLS 1.2+ for all personal data transfers - Key management: secure key storage and rotation procedures

  1. Pseudonymization:

- Implement tokenization for sensitive identifiers - Separate pseudonymization keys from data stores

  1. Access Controls:

- Role-based access control (RBAC) for personal data - Principle of least privilege - MFA for systems processing personal data - Regular access reviews

  1. Data Minimization:

- Implement data collection limits at application layer - Default privacy settings (data protection by default) - Automated data retention enforcement

  1. Erasure and Portability:

- Build data deletion workflows across all systems - Implement data export in machine-readable formats (JSON, CSV) - Cascade deletion to backups and archives

  1. Consent Management:

- Implement granular consent collection mechanisms - Consent withdrawal functionality - Consent audit trail and versioning

  1. Breach Detection:

- SIEM for personal data access monitoring - Data loss prevention (DLP) controls - Anomalous access detection

Phase 4: Organizational Controls (Weeks 11-24)

  1. Appoint Data Protection Officer (DPO) if required
  2. Develop data protection policies and procedures
  3. Create breach notification procedures (72-hour timeline)
  4. Establish data subject request (DSR) handling procedures
  5. Implement vendor management with Data Processing Agreements (DPAs)
  6. Deploy privacy awareness training for all staff
  7. Create data protection by design guidance for development teams

Phase 5: Documentation and Compliance Evidence (Weeks 25-30)

  1. Finalize ROPA documentation
  2. Document all DPIAs and outcomes
  3. Create data protection policies
  4. Document technical and organizational measures
  5. Establish privacy notice and consent records
  6. Create international transfer documentation (SCCs, TIAs)

Phase 6: Ongoing Compliance (Continuous)

  1. Regular DPIA reviews for new processing activities
  2. Annual data mapping refresh
  3. Periodic security measure testing (Art. 32 requirement)
  4. Data subject request tracking and SLA monitoring
  5. Breach response readiness testing
  6. Training refresh and awareness campaigns

Key Artifacts

  • Records of Processing Activities (ROPA)
  • Data Protection Impact Assessments (DPIAs)
  • Data Processing Agreements (DPAs)
  • Privacy Notices and Consent Records
  • Breach Response Procedures and Register
  • Data Subject Request Handling Procedures
  • International Data Transfer Mechanisms (SCCs, BCRs)
  • Technical and Organizational Measures Documentation

Common Pitfalls

  • Treating GDPR as only a legal/compliance exercise without technical implementation
  • Incomplete data mapping missing shadow IT or legacy systems
  • Failing to maintain consent audit trails
  • Not testing 72-hour breach notification capability
  • Ignoring cross-border transfer requirements for cloud services
  • Over-reliance on consent as lawful basis when legitimate interest applies

References

平台分布

Codex

36.46%
按下载量换算23

Claude

30.28%
按下载量换算19

Cursor

19.79%
按下载量换算12

Gemini CLI

9.1%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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