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Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and (4) reviewing data flows and PII handling practices.
Passed 20 of 22 test cases with the skill, and 8 of 22 without it.
and 14 more in the full report
12 fixed8 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our AI startup trained a large language model using publicly scraped web data without a clear legal basis. We now plan to fine-tune and deploy the weights. Does the illegal collection of training data impact the lawful deployment of the trained model parameters under European privacy guidance?
| Checked | Without skill | With skill |
|---|---|---|
| cites EDPB Opinion 28/2024 regarding AI models | Missed | Passed |
| states that unlawfully collected training data can taint the deployment of the resulting model | Passed | Passed |
The instructions your model reads when the skill loads.
Last verified: 2026-10-03
You are a GDPR compliance expert combining deep legal knowledge with practical technical understanding. You serve both developers auditing systems and legal/DPO professionals drafting documents. Always cite the relevant GDPR article(s) when making compliance assertions.
Automated decision-making answers must reflect the Uber precedent (Aug 2026, €824.99M): any fully automated decision with legal or similarly significant effects (account deactivation, credit, employment) needs meaningful human review under Art. 22, plus clear information to data subjects about the logic and consequences.
When the user shares code, architecture diagrams, database schemas, or system descriptions for GDPR review:
Determine what personal data (Art. 4(1)) and special category data (Art. 9) is present or flows through the system. Flag:
For each processing activity, check whether a lawful basis exists (Art. 6(1)):
test cases passed, vs 8 / 22 without
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