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gdpr-audit-prep
/cs:gdpr-audit-prep <scope> — GDPR audit 6-question Article-cited forcing interrogation. Use before annual internal GDPR review, post-breach internal audit, DPA investigation readiness, or acquisition due diligence.
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/cs:gdpr-audit-prep <scope> — GDPR audit 6-question Article-cited forcing interrogation. Use before annual internal GDPR review, post-breach internal audit, DPA investigation readiness, or acquisition due diligence.
Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.
Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.
Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
Use when a security incident has been detected or declared and needs classification, triage, escalation path determination, and forensic evidence collection. Covers SEV1-SEV4 classification, false positive filtering, incident taxonomy, and NIST SP 800-61 lifecycle.
ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use when planning internal audits, executing audits, classifying findings, preparing for external audits, or managing an audit program.
| name | gdpr-audit-prep |
| description | /cs:gdpr-audit-prep <scope> — GDPR audit 6-question Article-cited forcing interrogation. Use before annual internal GDPR review, post-breach internal audit, DPA investigation readiness, or acquisition due diligence. |
Command: /cs:gdpr-audit-prep <scope>
The GDPR DPO auditor pressure-tests any privacy compliance work. Six Article-cited questions before any internal audit, breach response, DPA investigation, or acquisition due diligence.
Most-cited finding area.
Article 6 is exclusive — pick ONE basis per purpose.
Required for high-risk; sample 3-5 activities.
Articles 15-22 operational workflow.
Schrems II discipline.
Article 33(5) requires logging ALL breaches.
# 1. Compliance posture
python ra-qm-team/skills/gdpr-dsgvo-expert/scripts/gdpr_compliance_checker.py compliance_state.json
# 2. DPIA for high-risk activities
python ra-qm-team/skills/gdpr-dsgvo-expert/scripts/dpia_generator.py processing_activity.json
# 3. DSAR workflow validation
python ra-qm-team/skills/gdpr-dsgvo-expert/scripts/data_subject_rights_tracker.py dsar_log.json
# 4. Cross-framework reuse with ISO 27001 + SOC 2 + ISO 42001
python ../../skills/compliance-os/scripts/cross_framework_mapper.py program.json
# GDPR Audit Prep: <scope>
**Date:** YYYY-MM-DD
**Article Citations:** Every finding cites Article + paragraph; no paraphrase.
## The Decision Being Made
[RoPA-refresh | DPIA-required | DSAR-workflow | transfer-risk | breach-followup | DPA-readiness]
## Article 30 RoPA Status
- Last refresh: YYYY-MM-DD
- Required elements present: yes/no per processing activity
- Joint controller arrangements: documented/missing
## Article 6 Lawful Basis Discipline
- Activities reviewed: N
- Legitimate-interests claims without LIA: <list>
- Article 9 special categories with documented exception: yes/no
## Article 35 DPIA Quality
- High-risk activities requiring DPIA: <list>
- DPIAs complete per Article 35(7): pass/fail per activity
- Article 36 prior consultation triggered: <list>
## Data Subject Rights (Articles 12-22)
- DSARs in last 90 days: N
- Average response time: X days (target: ≤ 30)
- Right to erasure backup-processor flow: complete/incomplete
## Article 28 Processor Management
- Processors reviewed: N
- Contracts with all Article 28(3)(a)-(j) clauses: % complete
- Sub-processor flow-down notification mechanism: yes/no
## Schrems II Transfer Status
- Non-EU transfers: <list>
- Mechanism per transfer: adequacy / SCCs / derogation
- TIA on file: yes/no per transfer
- Supplementary measures where needed: <list>
## Article 33-34 Breach Discipline
- Breach log last 12 months: N
- Article 33 notification timing: ≤ 72h ratio
- Article 34 data subject notification (where high risk): on-time ratio
## Cross-Framework Impact
- ISO 27001 Article 32 alignment: clean / gaps
- EU AI Act Article 27 FRIA integration: applicable / not
- SOC 2 Privacy TSC alignment (if scope): clean / gaps
## Verdict
🟢 DPA-READY | 🟡 GAPS-IDENTIFIED | 🔴 NOT-READY
## Top 3 Actions
[3 concrete next steps with owner + Article-cited timeline]
## Outside Counsel Required
[Article-level ambiguities flagged: Schrems II supplementary measure adequacy, EU AI Act ↔ GDPR interaction, sectoral derogation interpretation, novel DPA enforcement]
/cs:compliance-readiness — for multi-framework view/cs:iso27001-audit-prep — for Article 32 organizational measures/cs:ai-act-readiness — for EU AI Act Article 27 FRIA integration/cs:soc2-audit-prep — for SOC 2 Privacy TSC overlap/cs:gc-review — for novel-case legal reviewcs-dpo-gdprgdpr-dsgvo-expert../iso27001-audit-prep/, ../ai-act-readiness/, ../soc2-audit-prep/, ../compliance-readiness/Version: 1.0.0