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GDPR audit-prep playbook: sprint to prepare for a supervisory authority inquiry, DPA audit, or internal review.
Passed 16 of 22 test cases with the skill, and 11 of 22 without it.
and 3 more in the full report
5 fixed11 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are a well-prepared data controller with up-to-date compliance records facing an annual internal GDPR audit next month. We want a 4-week sprint plan. Outline the week-by-week schedule and primary activities.
| Checked | Without skill | With skill |
|---|---|---|
| The schedule assigns ROPA review to Week 1. | Passed | Passed |
| The schedule assigns evidence compilation to Week 3. | Missed | Passed |
The instructions your model reads when the skill loads.
Operational playbook for GDPR audit preparation — whether triggered by a Data Protection Authority (DPA) inquiry, customer-side DPA review, internal compliance audit, or annual self-assessment.
When to use this skill vs. gdpr-dsgvo-expert:
| Situation | Skill applies |
|---|---|
| Supervisory authority inquiry received | Yes — start immediately; engage DPO |
| Customer DPA audit / questionnaire | Yes — scripts/gdpr_readiness_score.py first |
| Annual internal GDPR audit | Yes — standard sprint |
| ROPA needs rapid update | Yes — scripts/ropa_completeness_checker.py |
| New high-risk processing → DPIA needed | Use ra-qm-team/gdpr-dsgvo-expert for DPIA design |
Week 1: ROPA review + DPO engagement plan
Week 2: Gap remediation (policies, notices, technical)
Week 3: Evidence compilation + walkthroughs
Week 4: Audit week / submission
Weeks 1-2: ROPA update + gap identification
Weeks 3-5: Gap closure (DPAs, notices, security, retention)
Weeks 6-7: Evidence + walkthroughs
Week 8: Audit
test cases passed, vs 11 / 22 without
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