gdpr-dsgvo-expert

Tools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.

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Install skill "gdpr-dsgvo-expert" with this command: npx skills add alirezarezvani/claude-skills/alirezarezvani-claude-skills-gdpr-dsgvo-expert

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

  • DPIA Generator

  • Data Subject Rights Tracker

  • Reference Guides

  • Workflows

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))

  • WP29 high-risk criteria

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 30 days

Rectification Art. 16 30 days

Erasure Art. 17 30 days

Restriction Art. 18 30 days

Portability Art. 20 30 days

Objection Art. 21 30 days

Automated decisions Art. 22 30 days

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

  • WP29 high-risk indicators

  • 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 30 days (extendable to 90 for complex requests):

  • 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

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