MCP HubMCP Hub
返回技能列表

scanning-for-gdpr-compliance

jeremylongshore
更新于 Today
56 次查看
712
74
712
在 GitHub 上查看
aidesigndata

关于

This skill scans applications and data systems to identify GDPR compliance issues like data protection violations and consent management gaps. It's triggered by user requests to audit for GDPR or data privacy and leverages a dedicated plugin to perform the assessment. The scan generates a detailed report with actionable findings for developers.

快速安装

Claude Code

推荐
插件命令推荐
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus
Git 克隆备选方式
git clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/scanning-for-gdpr-compliance

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Overview

This skill allows Claude to automatically assess an application's GDPR compliance posture. It provides a comprehensive scan, identifying potential violations and offering actionable recommendations to improve compliance. The skill simplifies the complex process of GDPR auditing, making it easier to identify and address critical gaps.

How It Works

  1. Initiate Scan: The user requests a GDPR compliance scan using natural language.
  2. Plugin Activation: Claude activates the gdpr-compliance-scanner plugin.
  3. Compliance Assessment: The plugin scans the application or system based on GDPR requirements.
  4. Report Generation: A detailed report is generated, highlighting compliance scores, critical gaps, and recommended actions.

When to Use This Skill

This skill activates when you need to:

  • Assess an application's GDPR compliance.
  • Identify potential GDPR violations.
  • Generate a report outlining compliance gaps and recommendations.
  • Audit data processing activities for adherence to GDPR principles.

Examples

Example 1: Assess GDPR Compliance of a Web Application

User request: "Scan my web application for GDPR compliance."

The skill will:

  1. Activate the gdpr-compliance-scanner plugin.
  2. Scan the web application for GDPR compliance issues related to data collection, storage, and processing.
  3. Generate a report highlighting compliance scores, critical gaps such as missing cookie consent mechanisms, and actionable recommendations like implementing a cookie consent banner.

Example 2: Audit Data Processing Activities

User request: "Check our data processing activities for GDPR compliance."

The skill will:

  1. Activate the gdpr-compliance-scanner plugin.
  2. Analyze data processing activities, including data collection methods, storage practices, and security measures.
  3. Generate a report identifying potential violations, such as inadequate data encryption or missing data processing agreements, along with recommendations for remediation.

Best Practices

  • Specificity: Provide as much context as possible about the application or system being scanned to improve the accuracy of the assessment.
  • Regularity: Schedule regular GDPR compliance scans to ensure ongoing adherence to regulatory requirements.
  • Actionable Insights: Prioritize addressing the critical gaps identified in the report to mitigate potential risks.

Integration

This skill can be integrated with other security and compliance tools to provide a holistic view of an application's security posture. It can also be used in conjunction with code generation tools to automatically implement recommended changes and improve GDPR compliance.

GitHub 仓库

jeremylongshore/claude-code-plugins-plus
路径: backups/skills-batch-20251204-000554/plugins/security/gdpr-compliance-scanner/skills/gdpr-compliance-scanner
aiautomationclaude-codedevopsmarketplacemcp

相关推荐技能

content-collections

Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。

查看技能

creating-opencode-plugins

该Skill为开发者创建OpenCode插件提供指导,涵盖命令、文件、LSP等25+种事件类型。它详细说明了插件结构、事件API规范及JavaScript/TypeScript实现模式,帮助开发者构建事件驱动的模块。适用于需要拦截操作、扩展功能或自定义AI助手行为的插件开发场景。

查看技能

sglang

SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。

查看技能

evaluating-llms-harness

测试

该Skill通过60+个学术基准测试(如MMLU、GSM8K等)评估大语言模型质量,适用于模型对比、学术研究及训练进度追踪。它支持HuggingFace、vLLM和API接口,被EleutherAI等行业领先机构广泛采用。开发者可通过简单命令行快速对模型进行多任务批量评估。

查看技能