Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests. Use for GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, and data subject rights management.
GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests. Use for GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, and data subject rights management.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Tools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.
Tools GDPR Compliance Checker DPIA Generator Data Subject Rights Tracker Reference Guides Workflows
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
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
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: RightArticleDeadlineAccessArt. 1530 daysRectificationArt. 1630 daysErasureArt. 1730 daysRestrictionArt. 1830 daysPortabilityArt. 2030 daysObjectionArt. 2130 daysAutomated decisionsArt. 2230 days Features: Deadline tracking with overdue alerts Identity verification workflow Response template generation Compliance reporting
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)
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
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
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
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
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
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)
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
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
TopicBDSG SectionKey RequirementDPO threshold§ 3820+ employees = mandatory DPOEmployment§ 26Detailed employee data rulesVideo§ 4Signage and proportionalityScoring§ 31Explainable algorithms
Identity, auth, scanning, governance, audit, and operational guardrails.
Largest current source with strong distribution and engagement signals.