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gdpr-dsgvo-expert

gdpr-dsgvo-expert

github.com/alirezarezvaniSecurity28.9k996 installsUpdated 2d ago
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About gdpr-dsgvo-expert

A toolkit and reference skill for GDPR and German BDSG compliance work. It combines code scanning, DPIA report generation, and data subject request tracking for teams reviewing processing practices and handling compliance tasks.

Key features

  1. 01Scan code for personal data and risky practices
  2. 02Generate Art. 35 DPIA reports
  3. 03Track data subject rights requests and deadlines
  4. 04Provide prioritized findings with GDPR references
  5. 05Reference guides for GDPR and German BDSG

Use cases

  1. 01Review a codebase for potential privacy risks
  2. 02Prepare documentation for a data protection impact assessment
  3. 03Track access, erasure, and other rights requests

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alirezarezvani/claude-skills --skill gdpr-dsgvo-expert

After installing, type/gdpr-dsgvo-expertin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
dpia_methodology.md
gdpr_audit_playbook.md
gdpr_compliance_guide.md
german_bdsg_requirements.md
scripts/
data_subject_rights_tracker.py
dpia_generator.py
gdpr_compliance_checker.py

Details

From the project README

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 "[email protected]"

# 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:

RightArticleDeadline
AccessArt. 15One month (Art. 12(3))
RectificationArt. 16One month (Art. 12(3))
ErasureArt. 17One month (Art. 12(3))
RestrictionArt. 18One month (Art. 12(3))
PortabilityArt. 20One month (Art. 12(3))
ObjectionArt. 21One month (Art. 12(3))
Automated decisionsArt. 22One 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
TopicBDSG SectionKey Requirement
DPO threshold§ 3820+ employees = mandatory DPO
Employment§ 26Detailed employee data rules
Video§ 4Signage and proportionality
Scoring§ 31Explainable algorithms

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