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[COMMUNITY] Generate GDPR (EU 2016/679) compliance assessment for EU/EEA data processing — legal basis mapping, data subject rights, transfers, DPIA screening, and breach notification across all member states

ID: cross-jurisdiction.data-protection.arckit-eu-rgpd Version: 0.1.0 License: MIT Author: tractorjuice Language: en Added: 2026-06-01
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⚠️ Community-contributed command — not part of the officially-maintained ArcKit baseline. Output should be reviewed by qualified DPO / RSSI / legal counsel before reliance. Citations to ANSSI / CNIL / EU regulations may lag the current text — verify against the source.

You are helping an enterprise architect generate a GDPR Compliance Assessment (EU 2016/679) for any organisation processing personal data of EU/EEA residents. This command takes a member-state-neutral approach to the EU GDPR baseline. For French-specific CNIL obligations, run $arckit-fr-rgpd after this assessment.

User Input

$ARGUMENTS

Instructions

Note: Before generating, scan projects/ for existing project directories. For each project, list all ARC-*.md artifacts, check external/ for reference documents, and check 000-global/ for cross-project policies. If no external docs exist but they would improve output, ask the user.

Step 0: Read existing artifacts from the project context

MANDATORY (warn if missing):

  • DATA (Data Model) — Extract: all entities with personal data, special category data (Article 9), data subjects, data flows to third parties, retention periods, data classifications
    • If missing: warn that GDPR assessment requires a data model to identify what personal data is processed and how

RECOMMENDED (read if available, note if missing):

  • REQ (Requirements) — Extract: data requirements (DR-xxx), compliance requirements (NFR-C-xxx), security requirements (NFR-SEC-xxx), integration points that involve personal data transfer
  • STKE (Stakeholder Analysis) — Extract: data subject categories, vulnerable groups, organisation's role (controller / processor), RACI for data governance
  • PRIN (Architecture Principles, 000-global) — Extract: privacy by design principles, data minimisation, retention policies

OPTIONAL (read if available, skip silently):

  • RISK (Risk Register) — Extract: existing privacy risks, data breach history, third-party risks
  • SECD (Secure by Design) — Extract: security controls relevant to Article 32 assessment

Step 0b: Read external documents and policies

  • Read any external documents in external/ — extract existing privacy policies, Records of Processing Activities (RoPA), Data Processing Agreements, previous DPIA reports, transfer impact assessments
  • Read any global policies in 000-global/policies/ — extract organisational privacy policy, data retention schedule, data classification scheme, DPO mandate
  • Citation traceability: When referencing content from external documents, follow .arckit/references/citation-instructions.md.

Step 1: Identify or Create Project

Identify the target project from the hook context. If the project doesn't exist:

  1. Use Glob to list projects/*/ directories and find the highest NNN-* number
  2. Calculate the next number (zero-padded to 3 digits)
  3. Slugify the project name
  4. Use the Write tool to create projects/{NNN}-{slug}/README.md
  5. Set PROJECT_ID and PROJECT_PATH

Step 2: Read Source Artifacts

Read all documents from Step 0. Identify:

  • Role: controller / processor / joint controller (from stakeholder analysis or user input)
  • Special category data presence (Article 9) → stricter requirements
  • International transfers → Schrems II / TIA requirements
  • Data subjects: consumers, employees, patients, children?
  • Lead supervisory authority: determined by the controller's main establishment

Step 3: GDPR Template Reading

Read the template (with user override support):

  • First, check if .arckit/templates-custom/eu-rgpd-template.md exists in the project root
  • If found: Read the user's customized template
  • If not found: Read .arckit/templates/eu-rgpd-template.md

Step 4: DPIA Screening (Article 35 — Automated)

Based on the data model and requirements, automatically score the EDPB 9 criteria:

# Criterion Score YES if...
1 Evaluation/scoring AI/ML profiling, credit scoring, behavioural profiling
2 Automated decisions Legal/significant effect without human review
3 Systematic monitoring Continuous tracking, surveillance, CCTV, web analytics at scale
4 Sensitive/special category data ANY Article 9 category (health, biometric, genetic, etc.)
5 Large-scale processing > 5,000 data subjects OR national/regional scope
6 Matching/combining datasets Multiple data sources joined for new purposes
7 Vulnerable data subjects Children, elderly, patients, job seekers
8 Innovative technology AI/ML, biometrics, IoT, blockchain, facial recognition
9 Prevents exercising rights No SAR/deletion/portability mechanism

DPIA Decision:

  • 2+ criteria: DPIA REQUIRED (Article 35) → recommend running $arckit-dpia
  • 1 criterion: DPIA RECOMMENDED
  • 0 criteria: DPIA NOT REQUIRED (but document the screening)

Step 5: Generate GDPR Assessment

CRITICAL: Use the Write tool to create the assessment document.

  1. Detect version: Check for existing ARC-{PROJECT_ID}-RGPD-v*.md files:

    • No existing file → VERSION="1.0"
    • Existing file → minor increment if refreshed, major if scope changed
  2. Auto-populate Document Control:

    • Document ID: ARC-{PROJECT_ID}-RGPD-v{VERSION}
    • Status: DRAFT
    • Created Date: {current_date}
    • Next Review Date: {current_date + 12 months}
    • Classification: OFFICIAL-SENSITIVE
    • Lead Supervisory Authority: determine from controller's main EU establishment
  3. Section 1: Scope and Role Determination

    • Organisation role (controller / processor / joint controller / sub-processor)
    • Data categories processed (standard personal data, Article 9 special categories, Article 10 criminal data)
  4. Section 2: Lawful Basis Assessment (Articles 6 and 9)

    • Map each processing activity to Article 6(1) legal basis
    • Map each special category processing to Article 9(2) condition
    • Consent management: if consent used, assess GDPR consent requirements
    • Legitimate interests: flag if used — three-part test required (purpose, necessity, balancing)
  5. Section 3: Privacy by Design and Default (Article 25)

    • Data minimisation, purpose limitation, storage limitation
    • Pseudonymisation, encryption defaults
    • Privacy-friendly default settings
  6. Section 4: Data Subject Rights (Articles 15–22)

    • Implementation mechanism for each right with response times
    • Flag any rights without implementation mechanism as gap
  7. Section 5: Records of Processing Activities (Article 30)

    • RoPA mandatory for organisations with 250+ employees (or processing high-risk/special category data)
    • RoPA location and maintenance status
  8. Section 6: DPIA Assessment

    • Copy DPIA screening results from Step 4
    • DPIA status: conducted / required / not required
  9. Section 7: Data Processors and Sub-Processors (Article 28)

    • Processor inventory from data model data flows
    • DPA compliance checklist (processing only on instructions, sub-processor controls, audit rights, deletion/return)
  10. Section 8: International Transfers (Articles 44–49)

    • Transfer inventory: destination country, transfer mechanism, adequacy decision status
    • Post-Schrems II requirements: TIA documented, SCCs 2021 in place, supplementary measures
    • EU-US Data Privacy Framework status for US transfers
    • Adequacy decision list (current as of 2025)
  11. Section 9: Breach Notification (Articles 33–34)

    • 72-hour DPA notification process
    • Individual notification trigger (high risk)
    • Internal breach register
  12. Section 10: National Supervisory Authority Context

    • Lead DPA determination
    • Member-state table (CNIL, BfDI, AP, APD, AGPD, Garante, DPC, IMY)
    • Note: for French deployments, run $arckit-fr-rgpd for CNIL-specific requirements
  13. Section 11: Gap Analysis and Action Plan

    • Consolidated gaps from all sections with priority flags

Before writing the file, read .arckit/references/quality-checklist.md and verify all Common Checks pass.

Write the document to:

projects/{project_id}/ARC-{PROJECT_ID}-RGPD-v{VERSION}.md

Step 6: Summary Output

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ GDPR Assessment Generated
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📄 Document: projects/{project_id}/ARC-{PROJECT_ID}-RGPD-v{VERSION}.md
📋 Document ID: {document_id}
📅 Assessment Date: {date}
🔒 Classification: OFFICIAL-SENSITIVE

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Assessment Summary
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Role: {Controller / Processor / Joint Controller}
Lead DPA: {Authority name}
Data Subjects: {Categories}
Special Category Data: {Yes (categories) / No}

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔍 DPIA Screening: {N}/9 criteria → {REQUIRED / RECOMMENDED / NOT REQUIRED}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

International Transfers: {N} transfers identified
  {List destination countries and mechanisms}

Total Gaps: {N} ({N} high, {N} medium, {N} low)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Next steps:
{If DPIA required: 1. Run $arckit-dpia — DPIA required (2+ criteria met)}
{If French deployment: Run $arckit-fr-rgpd — CNIL-specific requirements}
{If AI: Run $arckit-eu-ai-act — AI and personal data intersection}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Important Notes

  • Member-state neutral: This command covers EU GDPR only. For French CNIL-specific requirements (cookies, HDS, age of consent 15), run $arckit-fr-rgpd after this assessment.
  • Legitimate interests for public authorities: Article 6(1)(f) legitimate interests CANNOT be used by public authorities for tasks in the exercise of official authority. Flag this explicitly.
  • Schrems II is ongoing: Even with the EU-US Data Privacy Framework (DPF), Transfer Impact Assessments remain best practice. DPF is subject to ongoing CJEU challenge.
  • DPIA is a legal requirement: When 2+ EDPB criteria are met, the DPIA is mandatory before processing starts. Non-compliance can result in supervisory authority enforcement.
  • Use Write Tool: GDPR assessments are typically 3,000–6,000 words. Always use the Write tool.

Key References

Document Publisher URL
GDPR full text (Regulation 2016/679) EUR-Lex https://eur-lex.europa.eu/eli/reg/2016/679/oj
EDPB — European Data Protection Board (guidelines and opinions) EDPB https://edpb.europa.eu/
EU-US Data Privacy Framework European Commission https://commission.europa.eu/law/law-topic/data-protection/international-dimension-data-protection/eu-us-data-transfers_en
CNIL (French DPA) CNIL https://www.cnil.fr/
EDPB DPIA guidelines (WP248) EDPB https://edpb.europa.eu/our-work-tools/our-documents/guidelines/guidelines-92017-data-protection-impact-assessment_en
Standard Contractual Clauses (SCCs) European Commission https://commission.europa.eu/law/law-topic/data-protection/international-dimension-data-protection/standard-contractual-clauses-scc_en
DPA contacts across EU member states EDPB https://edpb.europa.eu/about-edpb/about-edpb/members_en

Success Criteria

  • ✅ Assessment document created at projects/{project_id}/ARC-{PROJECT_ID}-RGPD-v{VERSION}.md
  • ✅ Organisation role determined (controller / processor / joint)
  • ✅ Lead supervisory authority identified
  • ✅ All processing activities mapped to Article 6 legal basis
  • ✅ Special category data mapped to Article 9 conditions
  • ✅ EDPB 9-criteria DPIA screening completed
  • ✅ Data subject rights implementation assessed (Articles 15–22)
  • ✅ International transfers assessed with Schrems II requirements
  • ✅ Processor inventory with DPA compliance checked
  • ✅ 72-hour breach notification process assessed
  • ✅ National supervisory authority map populated
  • ✅ Document classified OFFICIAL-SENSITIVE
  • ✅ French deployment flagged for $arckit-fr-rgpd follow-up

Example Usage

$arckit-eu-rgpd Assess GDPR compliance for a French e-commerce platform expanding to Germany and Spain, processing purchase history, behavioural analytics, and email marketing, using AWS eu-west-3 (Paris) with Salesforce Marketing Cloud (US-based processor)

$arckit-eu-rgpd GDPR assessment for 001 — SaaS HR platform operating across 5 EU member states, processing employee data, using US-based payroll sub-processor

$arckit-eu-rgpd Assess GDPR for a healthcare research project processing anonymised patient data across FR, DE, NL — assess whether anonymisation is complete

Suggested Next Steps

After completing this command, consider running:

  • $arckit-dpia -- Run a full Data Protection Impact Assessment if screening flags 2+ high-risk criteria (when DPIA screening score is 2 or more)
  • $arckit-fr-rgpd -- Add French CNIL-specific obligations on top of the EU GDPR baseline (when Project processes personal data of French residents or is operated by a French entity)
  • $arckit-eu-ai-act -- Assess AI Act obligations where AI systems process personal data (when Project uses AI or automated decision-making involving personal data)

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