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Add GDPR compliance assessment skill
Adds comprehensive GDPR compliance assessment skill covering Article 30 records, lawful basis validation, data subject rights, DPIAs, breach notification, international transfers, and technical/organizational measures. Features: - 295-line skill body (under 500-line cap) - 1008-char description with negative triggers (under 1024 limit) - 9 files total, all within skill directory - 3 production scripts: article30_parser.py, article30_validator.py, generate_ropa_report.py - Detailed workflow, templates, and references Negative triggers direct users to: - implementing-gdpr-data-protection-controls for Article 32 technical controls - implementing-gdpr-data-subject-access-request for DSAR automation Legal basis: EU Regulation 2016/679, UK GDPR as amended by Data Protection Act 2018 and Data (Use and Access) Act 2025. Effective date: August 2026. Validation: validate-skill.py PASS, lint-descriptions.py PASS
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dakshverma23
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# API Reference: GDPR Compliance Tools and Commands
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## Python GDPR Compliance Helper Commands
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### Article 30 Parser
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```bash
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# Parse DPAs and privacy policies for Article 30 fields
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python scripts/article30_parser.py --input contracts/processors/ --output ropa.json
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# Validate completeness against mandatory fields
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python scripts/article30_validator.py --ropa ropa.json --check-retention --check-transfers
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# Generate Article 30 register in supervisory authority format
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python scripts/generate_ropa_report.py --input ropa.json --output Article30_Register.pdf
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```
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## Data Subject Access Request (DSAR) Automation
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### Open Data Rights (ODR)
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```bash
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# Initialize ODR project
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npm install @opendatarights/odr-core
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# Submit DSAR programmatically
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node scripts/submit_dsar.js --email user@example.com --company "Acme Corp"
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# Check DSAR status
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node scripts/check_dsar_status.js --request-id abc123
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```
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## GDPR Compliance Scanning Tools
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### BigID Data Discovery
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```bash
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# Scan for personal data across data sources
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bigid-cli scan --source "s3://company-bucket" --classification PII
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# Generate data inventory report
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bigid-cli report --format json --output data_inventory.json
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```
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### OneTrust Cookie Consent API
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```bash
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# Verify cookie consent compliance
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curl -H "Authorization: Bearer $TOKEN" \
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"https://api.onetrust.com/v1/consent/categories" | jq
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# Check GDPR consent records
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curl -H "Authorization: Bearer $TOKEN" \
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"https://api.onetrust.com/v1/consent/receipts?user=john@example.com"
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```
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## Standard Contractual Clauses (SCCs) Templates
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| SCC Module | Use Case | Download |
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|------------|----------|----------|
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| Module One | Controller to Controller | https://commission.europa.eu/law/law-topic/data-protection/international-dimension-data-protection/standard-contractual-clauses-scc_en |
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| Module Two | Controller to Processor | Same link (2021 version) |
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| Module Three | Processor to Processor | Same link |
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| Module Four | Processor to Controller | Same link |
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## Data Processing Agreement (DPA) Checklist
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| Article 28 Requirement | DPA Clause Reference |
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|------------------------|----------------------|
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| Subject matter and duration | § 1.1 |
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| Nature and purpose | § 1.2 |
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| Type of personal data | § 1.3, Annex A |
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| Categories of data subjects | § 1.4, Annex A |
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| Controller obligations and rights | § 2 |
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| Processor obligations | § 3-8 |
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| Sub-processor approval | § 9 |
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| Data subject rights assistance | § 10 |
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| Security measures | § 11, Annex B |
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| Breach notification | § 12 |
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| Deletion/return of data | § 13 |
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| Audits | § 14 |
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| Liability and indemnity | § 15-16 |
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## DPIA (Data Protection Impact Assessment) Template Structure
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```yaml
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# DPIA for [Processing Activity Name]
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date: 2026-03-15
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version: 1.0
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assessor: [Name, Role]
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1. Description of Processing:
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- purpose:
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- categories_of_data:
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- categories_of_subjects:
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- retention_period:
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- recipients:
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2. Necessity and Proportionality:
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- necessity_justification:
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- proportionality_assessment:
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3. Risks to Data Subject Rights:
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- risk_1:
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description:
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likelihood: [low/medium/high]
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severity: [low/medium/high]
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risk_level: [likelihood × severity]
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- risk_2: ...
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4. Mitigation Measures:
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- measure_1:
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description:
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effectiveness: [reduces risk to ...]
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responsibility: [who implements]
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- measure_2: ...
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5. Residual Risk:
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- residual_risk_assessment:
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- supervisory_authority_consultation: [yes/no, if yes why]
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6. Sign-off:
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- dpo_review_date:
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- dpo_approval:
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- controller_approval:
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```
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## Breach Notification API (Supervisory Authority)
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### ICO Data Security Incident Reporting Tool
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```bash
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# UK: Report breach to ICO
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# https://ico.org.uk/for-organisations/report-a-breach/
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# EU Member State: Check your supervisory authority
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# https://edpb.europa.eu/about-edpb/about-edpb/members_en
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```
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### Breach Register Template
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```json
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{
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"breach_id": "BR-2026-001",
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"discovered_date": "2026-03-10T14:30:00Z",
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"notification_date_authority": "2026-03-12T10:00:00Z",
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"72_hour_deadline": "2026-03-13T14:30:00Z",
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"within_deadline": true,
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"affected_data_subjects": 1500,
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"categories_of_data": ["email", "name", "payment_card_last4"],
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"likely_consequences": "Risk of phishing targeting affected users",
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"measures_taken": "Mandatory password reset, notification sent to all users, MFA enforced",
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"supervisory_authority": "ICO",
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"notification_reference": "ICO-BR-2026-12345"
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}
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```
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## GDPR-Compliant Logging Commands
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### Audit Log Retention Check
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```bash
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# Verify retention periods align with Article 30 documented periods
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grep -r "retention" Article30_Register.json | jq
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# Check if logs contain personal data (must be protected under Article 32)
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grep -iE "(email|name|ip_address)" /var/log/app/*.log
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```
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### Pseudonymization Example (Python)
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```python
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import hashlib
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import hmac
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def pseudonymize(email, secret_key):
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"""Pseudonymize email using HMAC-SHA256"""
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return hmac.new(
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secret_key.encode(),
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email.encode(),
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hashlib.sha256
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).hexdigest()
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# Usage
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secret = "your-secret-key-store-securely"
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pseudonym = pseudonymize("user@example.com", secret)
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# Output: 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8
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```
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## Data Subject Rights Verification
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| Right | Verification Check | Command/Tool |
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|-------|-------------------|--------------|
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| Right to Access (Art 15) | Can org deliver all data within 1 month? | Test DSAR workflow end-to-end |
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| Right to Erasure (Art 17) | Can org delete across all systems? | `python scripts/test_deletion.py --user-id 12345` |
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| Right to Portability (Art 20) | Can org export in machine-readable format? | Verify CSV/JSON export functionality |
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| Right to Object (Art 21) | Can org stop direct marketing? | Test unsubscribe mechanism |
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## International Transfer Checklist
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```bash
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# Identify all non-EU/EEA data flows
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grep -r "transfer_destination" Article30_Register.json | grep -v "EU\|EEA"
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# Verify safeguards for each transfer
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for dest in $(jq -r '.transfers[].destination_country' Article30_Register.json); do
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echo "Transfer to: $dest"
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echo "Safeguard: $(jq -r ".transfers[] | select(.destination_country==\"$dest\") | .safeguard" Article30_Register.json)"
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done
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```
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## References
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- **ICO Self-Assessment Tool**: https://ico.org.uk/for-organisations/sme-web-hub/checklists/self-assessment/
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- **EDPB Interactive Tool**: https://ec.europa.eu/info/law/law-topic/data-protection/reform/rights-citizens/how-my-personal-data-protected_en
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- **GDPR.eu Compliance Checklist**: https://gdpr.eu/checklist/
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- **NIST Privacy Framework**: https://www.nist.gov/privacy-framework
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