Test Data and Fixtures Audit
Check realism, privacy and maintainability of test data.
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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.
Audit test data and fixtures. Describe how test data is created and sample fixtures with values changed: [TEST_DATA_DETAILS]. Whether any production data is used: [PRODUCTION_DATA_USE]. Pain points: [PAIN_POINTS]. Check for real personal data in fixtures, brittle fixtures that break with schema changes, unrealistic data that hides bugs, missing edge cases such as long names and unusual characters, and slow setup. Suggest factories and a data policy. Return a table with Item, Issue, Risk (red, amber, green) and Fix, a policy of ten rules, and a plan to remove sensitive data from history. Privacy rules are [VERIFY] for [JURISDICTION]. Also list the tools or approaches for generating invented data, such as factories and seeded random values, and a checklist for reviewing any dataset that comes from production before it is used in tests. Treat the pasted text as the only evidence. Point out where facts are missing, avoid guessing what was agreed, and tag every point that depends on statute, regulation or local practice [VERIFY].
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