Add a maintainers script to safely promote high-confidence legacy risk labels from unknown to concrete values, cover it with tests, and regenerate the canonical skill artifacts and plugin copies. This reduces the legacy unknown backlog without forcing noisy classifications that still need manual review.
1.1 KiB
1.1 KiB
name, description, risk, source, date_added
| name | description | risk | source | date_added |
|---|---|---|---|---|
| gdpr-data-handling | Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls. | safe | community | 2026-02-27 |
GDPR Data Handling
Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls.
Use this skill when
- Building systems that process EU personal data
- Implementing consent management
- Handling data subject requests (DSRs)
- Conducting GDPR compliance reviews
- Designing privacy-first architectures
- Creating data processing agreements
Do not use this skill when
- The task is unrelated to gdpr data handling
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.