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Use to assess Privacy by Design compliance and GDPR/data protection alignment for a feature or system.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/aibot88/sec_skill_store --skill privacy-checkコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
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
SOC 職業分類に基づく
SKILL.md を表示中
| 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.