gdpr-dsgvo-expert
GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/alirezarezvani/claude-skills --skill gdpr-dsgvo-expert- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads gdpr-dsgvo-expert automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
GDPR/DSGVO Expert
Tools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.
Table of Contents
Tools
GDPR Compliance Checker
Scans codebases for potential GDPR compliance issues including personal data patterns and risky code practices.
# Scan a project directory
python scripts/gdpr_compliance_checker.py /path/to/project
# JSON output for CI/CD integration
python scripts/gdpr_compliance_checker.py . --json --output report.json
Detects:
- Personal data patterns (email, phone, IP addresses)
- Special category data (health, biometric, religion)
- Financial data (credit cards, IBAN)
- Risky code patterns:
- Logging personal data
- Missing consent mechanisms
- Indefinite data retention
- Unencrypted sensitive data
- Disabled deletion functionality
Output:
- Compliance score (0-100)
- Risk categorization (critical, high, medium)
- Prioritized recommendations with GDPR article references
DPIA Generator
Generates Data Protection Impact Assessment documentation following Art. 35 requirements.
# Get input template
python scripts/dpia_generator.py --template > input.json
# Generate DPIA report
python scripts/dpia_generator.py --input input.json --output dpia_report.md
Features:
- Automatic DPIA threshold assessment
- Risk identification based on processing characteristics
- Legal basis requirements documentation
- Mitigation recommendations
- Markdown report generation
DPIA Triggers Assessed:
- Systematic monitoring (Art. 35(3)(c))
- Large-scale special category data (Art. 35(3)(b))
- Automated decision-making (Art. 35(3)(a))
- EDPB-endorsed high-risk criteria (WP248 rev.01)
Data Subject Rights Tracker
Manages data subject rights requests under GDPR Articles 15-22.
# Add new request
python scripts/data_subject_rights_tracker.py add \
--type access --subject "John Doe" --email "john@example.com"
# List all requests
python scripts/data_subject_rights_tracker.py list
# Update status
python scripts/data_subject_rights_tracker.py status --id DSR-202601-0001 --update verified
# Generate compliance report
python scripts/data_subject_rights_tracker.py report --output compliance.json
# Generate response template
python scripts/data_subject_rights_tracker.py template --id DSR-202601-0001
Supported Rights:
| Right | Article | Deadline |
|---|---|---|
| Access | Art. 15 | One month (Art. 12(3)) |
| Rectification | Art. 16 | One month (Art. 12(3)) |
| Erasure | Art. 17 | One month (Art. 12(3)) |
| Restriction | Art. 18 | One month (Art. 12(3)) |
| Portability | Art. 20 | One month (Art. 12(3)) |
| Objection | Art. 21 | One month (Art. 12(3)) |
| Automated decisions | Art. 22 | One month (Art. 12(3)) |
Features:
- Deadline tracking with overdue alerts
- Identity verification workflow
- Response template generation
- Compliance reporting
Reference Guides
GDPR Compliance Guide
references/gdpr_compliance_guide.md
Comprehensive implementation guidance covering:
- Legal bases for processing (Art. 6)
- Special category requirements (Art. 9)
- Data subject rights implementation
- Accountability requirements (Art. 30)
- International transfers (Chapter V)
- Breach notification (Art. 33-34)
German BDSG Requirements
references/german_bdsg_requirements.md
German-specific requirements including:
- DPO appointment threshold (§ 38 BDSG - 20+ employees)
- Employment data processing (§ 26 BDSG)
- Video surveillance rules (§ 4 BDSG)
- Credit scoring requirements (§ 31 BDSG)
- State data protection laws (Landesdatenschutzgesetze)
- Works council co-determination rights
DPIA Methodology
references/dpia_methodology.md
Step-by-step DPIA process:
- Threshold assessment criteria
- EDPB-endorsed high-risk indicators (WP248 rev.01)
- Risk assessment methodology
- Mitigation measure categories
- DPO and supervisory authority consultation
- Templates and checklists
Workflows
Workflow 1: New Processing Activity Assessment
Step 1: Run compliance checker on codebase
→ python scripts/gdpr_compliance_checker.py /path/to/code
Step 2: Review findings and compliance score
→ Address critical and high issues
Step 3: Determine if DPIA required
→ Check references/dpia_methodology.md threshold criteria
Step 4: If DPIA required, generate assessment
→ python scripts/dpia_generator.py --template > input.json
→ Fill in processing details
→ python scripts/dpia_generator.py --input input.json --output dpia.md
Step 5: Document in records of processing activities
Workflow 2: Data Subject Request Handling
Step 1: Log request in tracker
→ python scripts/data_subject_rights_tracker.py add --type [type] ...
Step 2: Verify identity (proportionate measures)
→ python scripts/data_subject_rights_tracker.py status --id [ID] --update verified
Step 3: Gather data from systems
→ python scripts/data_subject_rights_tracker.py status --id [ID] --update in_progress
Step 4: Generate response
→ python scripts/data_subject_rights_tracker.py template --id [ID]
Step 5: Send response and complete
→ python scripts/data_subject_rights_tracker.py status --id [ID] --update completed
Step 6: Monitor compliance
→ python scripts/data_subject_rights_tracker.py report
Workflow 3: German BDSG Compliance Check
Step 1: Determine if DPO required
→ 20+ employees processing personal data automatically
→ OR processing requires DPIA
→ OR business involves data transfer/market research
Step 2: If employees involved, review § 26 BDSG
→ Document legal basis for employee data
→ Check works council requirements
Step 3: If video surveillance, comply with § 4 BDSG
→ Install signage
→ Document necessity
→ Limit retention
Step 4: Register DPO with supervisory authority
→ See references/german_bdsg_requirements.md for authority list
Key GDPR Concepts
Legal Bases (Art. 6)
- Consent: Marketing, newsletters, analytics (must be freely given, specific, informed)
- Contract: Order fulfillment, service delivery
- Legal obligation: Tax records, employment law
- Legitimate interests: Fraud prevention, security (requires balancing test)
Special Category Data (Art. 9)
Requires explicit consent or Art. 9(2) exception:
- Health data
- Biometric data
- Racial/ethnic origin
- Political opinions
- Religious beliefs
- Trade union membership
- Genetic data
- Sexual orientation
Data Subject Rights
All rights must be fulfilled within one month of receipt (Art. 12(3)). The deadline runs by calendar month, not 30 days, and may be extended by two further months for complex or numerous requests — the data subject must be informed of the extension (with reasons) within the first month:
- Access: Provide copy of data and processing information
- Rectification: Correct inaccurate data
- Erasure: Delete data (with exceptions for legal obligations)
- Restriction: Limit processing while issues are resolved
- Portability: Provide data in machine-readable format
- Object: Stop processing based on legitimate interests
German BDSG Additions
| Topic | BDSG Section | Key Requirement |
|---|---|---|
| DPO threshold | § 38 | 20+ employees = mandatory DPO |
| Employment | § 26 | Detailed employee data rules |
| Video | § 4 | Signage and proportionality |
| Scoring | § 31 | Explainable algorithms |
FAQ
What does the gdpr-dsgvo-expert skill do?
GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.
How do I install gdpr-dsgvo-expert?
Run npx skills add https://github.com/alirezarezvani/claude-skills --skill gdpr-dsgvo-expert in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gdpr-dsgvo-expert/ (personal) or .claude/skills/gdpr-dsgvo-expert/ (project).
Which AI agents can use gdpr-dsgvo-expert?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is gdpr-dsgvo-expert safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains gdpr-dsgvo-expert?
It is published by alirezarezvani in alirezarezvani/claude-skills. It has 991 recorded installs.
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