用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/aibot88/sec_skill_store --skill privacy-check命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Guides the creation of agile user stories and Gherkin feature files. Use when the user wants to create a user story, write acceptance criteria, define Gherkin scenarios, or author BDD feature files. This should trigger for requests such as Create a user story; Write a user story; I need to write a user story. Part of cursor-rules-java project
Guía técnica completa para integrar 250+ servicios externos con agentes IA usando Composio. Cubre instalación, autenticación OAuth, gestión de herramientas, triggers y flujos multi-servicio.
Facilitates conversational discovery to create Architectural Decision Records (ADRs) for non-functional requirements using the ISO/IEC 25010:2023 quality model. Use when the user wants to document quality attributes, NFR decisions, security/performance/scalability architecture, or design systems with measurable quality criteria. This should trigger for requests such as Create ADR for Non-functional requirements; Document Non-functional requirements; Capture Non-functional requirements; Generate Non-functional requirements in an ADR. Part of cursor-rules-java project
基于 SOC 职业分类
正在显示 SKILL.md
| name | privacy-check |
| description | Use to assess Privacy by Design compliance and GDPR/data protection alignment for a feature or system. |
| instruction_budget | 37 |
Privacy by Design assessment.
Proactive not Reactive: Are privacy measures built in from the start?
Privacy as Default: Is the most private option the default?
Privacy Embedded in Design: Is privacy integral to the system?
Positive-Sum, not Zero-Sum (originally "Full Functionality"): Privacy without trade-offs?
End-to-End Security: Data protected throughout its lifecycle?
Visibility and Transparency: Is data processing transparent?
Respect for User Privacy: Are user interests centered?
## Privacy Assessment: [Feature/System]
### PbD Principles
| Principle | Status | Notes |
|-----------|--------|-------|
| Proactive | Pass/Fail | ... |
| Default privacy | Pass/Fail | ... |
| Embedded | Pass/Fail | ... |
| Full functionality | Pass/Fail | ... |
| End-to-end security | Pass/Fail | ... |
| Transparency | Pass/Fail | ... |
| User respect | Pass/Fail | ... |
### Data Inventory
| Data | Purpose | Basis | Retention | Protection |
|------|---------|-------|-----------|-----------|
| ... | ... | ... | ... | ... |
### Risks and Recommendations
1. [risk and recommended action]
APPEND a ### Privacy Assessment entry to harness/decision-log.md with: principles assessed, data flows identified, risks found, GDPR compliance status.