gdpr-compliant
Helps your agent follow data protection rules (GDPR). It does this when creating systems, storing user information, or reviewing code to ensure privacy.
What it does
This tool helps ensure your code and system design follow data protection rules (like GDPR). It focuses on collecting, storing, and exposing the least amount of data possible, protecting user privacy.
When to use it
- ✓When creating new features that handle user data.
- ✓When reviewing code to ensure it's secure and private.
- ✓When planning how data will be stored and for how long.
Example of what to ask your AI
“How can I ensure I'm only collecting essential data for this new feature?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool checks if you're following principles like collecting less data, storing less, exposing less, and retaining for less time. It also suggests practices for data protection, such as encryption and anonymization.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add github/awesome-copilot --skill gdpr-compliantOr download just the file:
curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gdpr-compliant/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
GDPR Engineering Skill
Actionable GDPR reference for engineers, architects, DevOps, and tech leads. Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.
Golden Rule: Collect less. Store less. Expose less. Retain less.
For deep dives, read the reference files in references/:
references/data-rights.md— user rights endpoints, DSR workflow, RoPAreferences/security.md— encryption, hashing, secrets, anonymizationreferences/operations.md— cloud, CI/CD, incident response, architecture patterns
1. Core GDPR Principles (Article 5)
| Principle | Engineering obligation |
|---|---|
| Lawfulness, fairness, transparency | Document legal basis for every processing activity in the RoPA |
| Purpose limitation | Data collected for purpose A MUST NOT be reused for purpose B without a new legal basis |
| Data minimization | Collect only fields with a documented business need today |
| Accuracy | Provide update endpoints; propagate corrections to downstream stores |
| Storage limitation | Define TTL at schema design time — never after |
| Integrity & confidentiality | Encrypt at rest and in transit; restrict and audit access |
| Accountability | Maintain evidence of compliance; RoPA ready for DPA inspection at any time |
2. Privacy by Design & by Default
MUST
- Add
CreatedAt,RetentionExpiresAtto every table holding personal data at creation time. - Default all optional data collection to off. Users opt in; they never opt out of a default-on setting.
- Conduct a DPIA before building high-risk processing (biometrics, health data, large-scale profiling, systematic monitoring).
- Update the RoPA with every new feature that introduces a processing activity.
- Sign a DPA with every sub-processor before data flows to them.
MUST NOT
- Ship a new data collection feature without a documented legal basis.
- Enable analytics, tracking, or telemetry by default without explicit consent.
- Store personal data in a system not listed in the RoPA.
3. Data Minimization
MUST
- Map every DTO/model field to a concrete business need. Remove undocumented fields.
- Use separate DTOs for create, read, and update — never reuse the same object.
- Return only what the caller is authorized to see — use response projections.
- Mask sensitive values at the edge: return
****1234for card numbers, never the full value. - Exclude sensitive fields (DOB, national ID, health) from default list/search projections.
MUST NOT
- Log full request/response bodies if they may contain personal data.
- Include personal data in URL path segments or query parameters (CDN logs, browser history).
- Collect
dateOfBirth, national ID, or health data without an explicit legal basis.
4. Purpose Limitation
MUST
- Document the purpose of every processing activity in code comments and in the RoPA.
- Obtain a new legal basis or perform a compatibility analysis before reusing data for a secondary purpose.
MUST NOT
- Share personal data collected for service delivery with advertising networks without explicit consent.
- Use support ticket content to train ML models without a separate legal basis and user notice.
5. Storage Limitation & Retention
MUST
- Every table holding personal data MUST have a defined retention period.
- Enforce retention automatically via a scheduled job (Hangfire, cron) — never a manual process.
- Anonymize or delete data when retention expires — never leave expired data silently in production.
Recommended defaults
| Data type | Max retention |
|---|---|
| Auth / audit logs | 12–24 months |
| Session / refresh tokens | 30–90 days |
| Email / notification logs | 6 months |
| Inactive user accounts | 12 months after last login → notify → delete |
| Payment records | As required by tax law (7–10 years), minimized |
| Analytics events | 13 months |
SHOULD
- Add
RetentionExpiresAtcolumn — compute at insert time. - Use soft-delete (
DeletedAt) with a scheduled hard-delete after the erasure request window (30 days).
MUST NOT
- Retain personal data indefinitely "in case it becomes useful later."
6. API Design Rules
MUST
- MUST NOT include personal data in URL paths or query parameters.
GET /users/{userId}
- Authenticate all endpoints that return or accept personal data.
- Extract the acting user's identity from the JWT — never from the request body.
…
FAQ
What is GDPR?
GDPR is a European law that protects the privacy and personal data of citizens of the European Union.
What does 'Privacy by Design' mean?
It means thinking about privacy from the very beginning of developing a product or service, not as an afterthought.
What is RoPA?
RoPA stands for 'Record of Processing Activities,' a document that lists how personal data is collected, used, and stored.
Details
Original description by the author
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cooki
repo: github/awesome-copilot
Popularity
- GitHub stars
- 40k
- Ranking position
- #5158
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
acquire-codebase-knowledge
Helps your agent understand and document an existing code project. It's useful for onboarding new people or getting an overview of the architecture.
github/awesome-copilot
acreadiness-assess
Enables your agent to assess a project's readiness for AI and generate a report. It's useful for understanding how well a project is prepared to use AI tools.
github/awesome-copilot
acreadiness-generate-instructions
Helps your agent create instructions for AI tools based on an assessment. It's useful for improving how AI interacts with code and closing identified gaps.
github/awesome-copilot
acreadiness-policy
Enables your agent to help define or apply policies for AI project assessment. It's useful for standardizing how projects are evaluated and ensuring compliance.
github/awesome-copilot
Similar skills
django-security
Helps your agent implement security practices in Django applications. It focuses on authentication, authorization, and prevention against common attacks, ensuring more secure code.
affaan-m/ECC
laravel-security
Helps your agent secure Laravel applications against threats. Implements security practices for authentication, authorization, and common attack prevention.
affaan-m/ECC
module-regression
Helps your agent manage changes in large projects. Ensures code changes in one part don't break other parts.
affaan-m/ECC