conducting-gdpr-compliance-assessment
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of…
Skill by mukul975
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design, data, security, writing
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/conducting-gdpr-compliance-assessment
What's inside
- Skill name
conducting-gdpr-compliance-assessment- Description
- Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
- License
- Apache-2.0
- Instructions
- 251 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (9)
- LICENSE
- SKILL.md
- compliance-scorecard.md · assets/
- api-reference.md · references/
- detailed-workflow.md · references/
- standards.md · references/
- article30_parser.py · scripts/
- article30_validator.py · scripts/
- generate_ropa_report.py · scripts/
SKILL.md (first lines)
# Conducting GDPR Compliance Assessment > **Effective Date**: August 2026 > **Legal Basis**: EU Regulation 2016/679 (GDPR), UK GDPR as amended by Data Protection Act 2018 and Data (Use and Access) Act 2025 (ukpga/2025/18) > **Pending Changes**: Digital Omnibus proposal (COM(2025) 837) would change Article 30(5) threshold from 250 to 750 employees and Article 33 breach notification from 72h to 96h. Still in proposal stage; current requirements remain in force. ## When to Use - When an organization **processes personal data of EU residents** (Article 3 territorial scope applies) - When preparing for a **supervisory authority audit** (ICO, CNIL, BfDI) or responding to formal inquiry - When implementing **privacy-by-design** requirements (Article 25) for new systems or data flows - When **scoping compliance gaps** before M&A due diligence or contract negotiations with EU entities - When responding to **data subject access requests (DSARs)** and discovering gaps in data inventory - When assessing **third-party processors** for GDPR compliance before signing Data Processing Agreements (DPAs) - After **data breach incidents** to verify notification procedures meet 72-hour requirement (Article 33) **Do not use** for: - **Technical implementation** of specific GDPR controls (encryption, pseudonymization, access controls) — use **implementing-gdpr-data-protection-controls** for Article 32 technical/organizational measures - **Automated DSAR processing workflows** (identity verification, PII discovery, redaction, delivery) — use **implementing-gdpr-data-subject-access-request** for DSAR automation - Non-EU privacy frameworks alone (CCPA, PIPEDA, LGPD); those require separate assessments with jurisdiction-specific criteria - This skill is for **comprehensive compliance assessment** across all GDPR articles; use the specialized skills for focused implementation tasks ## Prerequisites - Understanding of GDPR Articles 5-32 and key definitions - Access to Article 30 records of processing activities - Data Processing Agreements with third-party processors - Privacy policies, consent forms, cookie notices - Knowledge of lawful bases (Article 6) - Data breach response plan and incident register - List of international data transfers with safeguards ## Workflow **For detailed procedures, templates, and examples, see `references/detailed-workflow.md`** ### Phase 1: Determine Territorial Applicability (Article 3) GDPR applies if: 1. Organization has establishment in EU 2. Offers goods/services to EU residents 3. Monitors behavior of EU residents **Check**: EU office? EU website targeting? Behavioral tracking? ### Phase 2: Inventory Data Processing Activities (Article 30) Document for EACH activity: - Controller/processor details - Processing purposes (specific) - Data categories and special categories (Art. 9) - Recipients and international transfers - Retention periods - Security measures **Tools**: Use `scripts/article30_parser.py`, `article30_validator.py`, `generate_ropa_report.py` **Common gaps**: Missing retention periods (68%), vague purposes, undocumented transfers ### Phase 3: Validate Lawful Basis (Article 6) | Basis | Use Case | Key Requirement | |-------|----------|-----------------| | **Consent** (6(1)(a)) | Marketing, profiling | Freely given, specific, withdrawable | | **Contract** (6(1)(b)) | Order fulfillment | Strictly necessary only | | **Legal Obligation** (6(1)(c)) | Tax records | Cite specific law | | **Legitimate Interest** (6(1)(f)) | Fraud prevention, analytics | Three-part test + balancing | **Action**: Map each Article 30 activity to one lawful basis. Document legitimate interest assessments. ### Phase 4: Assess Data Subject Rights (Articles 12-23) Verify capability for: - **Access** (15): Provide copy in machine-readable format within 1 month - **Rectification** (16): Correct inaccurate data - **Erasure** (17): "Right to be forgotten" (with exceptions) - **Portability** (20): Transfer data in structured format - **Objection** (21): Opt-out of legitimate interest processing - **Automated Decision-Making** (22): Human review of algorithmic decisions **Test**: Process sample DSAR through full workflow. Use `scripts/` for automation. ### Phase 5: Review DPIAs (Article 35) DPIA **mandatory** for: - Large-scale profiling with automated decisions - Large-scale special categories processing - Systematic monitoring of public areas (facial recognition) **Template**: See `references/detailed-workflow.md` for complete DPIA structure **Content**: Description, necessity, risks, mitigation, consultation (DPO, supervisory authority if novel high-risk) ### Phase 6: Audit Breach Notification (Articles 33-34) **72-hour rule**: Notify supervisory authority within 72 hours of becoming aware of breach likely to risk rights. **Decision tree**: - Unencrypted SSNs stolen? → NOTIFY + notify data subjects - Encrypted backup stolen (key secure)? → Document only - Temporary exposure (2 hours, no financial data)? → NOTIFY authority, assess data subject notification **Content**: Nature, categories/numbers, DPO contact, consequences, mitigation ### Phase 7: Verify International Transfers (Chapter V) **Mechanisms**: - Adequacy decisions (UK, Japan, etc.) - Standard Contractual Clauses (SCCs) 2021 + Transfer Impact Assessment - Binding Corporate Rules (BCRs) - Derogations (Article 49 - limited) **Post-Schrems II**: Assess destination country surveillance laws, implement supplementary measures (encryption with EU-held keys) ### Phase 8: Assess Security Measures (Article 32) "Security appropriate to the risk": - **Low risk**: TLS 1.2+, password hashing, access logs, patching - **Medium risk**: AES-256 encryption, MFA, RBAC, penetration testing, SOC 2 - **High risk**: HSMs, key rotation, SIEM, bug bounty, ISO 27001
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Aug 24, 2026 (2 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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conducting-gdpr-compliance-assessment skill. Agent Mart. https://agentmart.dev/skills/mukul975-conducting-gdpr-compliance-assessment (last updated 2026-10-24)