
GDPR/DSGVO Expert
FreeAutomate your GDPR compliance assessments and documentation.
Free · Opens the source repo
What GDPR/DSGVO Expert does
The GDPR/DSGVO Expert skill provides a suite of tools designed to assist developers and organizations in achieving compliance with the EU General Data Protection Regulation (GDPR) and the German Bundesdatenschutzgesetz (BDSG). This skill is particularly useful for those involved in privacy audits, data protection planning, and managing data subject rights requests. With built-in scripts for compliance checking, Data Protection Impact Assessment (DPIA) generation, and tracking data subject rights, this skill streamlines the often complex and time-consuming processes associated with GDPR compliance.
The GDPR Compliance Checker scans codebases for potential privacy risks, identifying patterns of personal data, special category data, and risky coding practices. It generates a compliance score and offers prioritized recommendations based on GDPR articles, which can be integrated into CI/CD pipelines for continuous compliance monitoring. This tool is essential for developers looking to proactively address compliance issues before they escalate.
The DPIA Generator automates the creation of DPIA documentation, ensuring that organizations can effectively assess and document the risks associated with their data processing activities. It follows the requirements set out in Article 35 of the GDPR, providing a structured approach to risk assessment and mitigation. This is particularly beneficial for organizations processing large-scale special category data or engaging in systematic monitoring.
Finally, the Data Subject Rights Tracker simplifies the management of data subject rights requests, allowing users to log, track, and respond to requests in compliance with GDPR timelines. This tool includes features for deadline tracking, identity verification, and compliance reporting, making it a comprehensive solution for organizations committed to upholding data subject rights.
When to use it
Use this skill when conducting GDPR compliance assessments, managing data subject rights requests, or generating DPIA documentation in your projects.
When not to use it
This skill may not be suitable for organizations outside the EU or those not subject to GDPR regulations, as its focus is specifically on EU data protection laws.
What you can build with it
Conducting a GDPR Compliance Audit
Use the GDPR Compliance Checker to scan your project for privacy risks and generate a compliance report.
Generating DPIA Documentation
Utilize the DPIA Generator to create necessary documentation for high-risk data processing activities.
Managing Data Subject Rights Requests
Employ the Data Subject Rights Tracker to log and track requests, ensuring compliance with GDPR deadlines.
How to install GDPR/DSGVO Expert
View source1. Install with the skills CLI
npx skills add alirezarezvani/claude-skills/gdpr-dsgvo-expert --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by alirezarezvaniGDPR/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 |
Frequently asked questions about GDPR/DSGVO Expert
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