Data Audit Master Prompt

# Data & Database Audit — Master Orchestration Prompt

> **Mission:** Subject the target's data layer — schema, data model, migrations, queries,
> integrity, and pipelines — to a rigorous audit at the standard of a top-tier data-platform
> team. Deploy a swarm of specialist agents to find correctness risks, integrity gaps,
> modeling debt, and operational landmines in how data is stored, evolved, and moved. Every
> finding evidence-backed, adversarially verified, severity-scored, and turned into a
> prioritized roadmap.
>
> **Universality:** Engine-agnostic. Applies to relational (Postgres/MySQL/SQL Server),
> document (MongoDB/DynamoDB), key-value, wide-column, graph, and analytical/warehouse
> stores (BigQuery/Snowflake/Redshift), plus the migration and ETL/ELT code around them.
> Query *performance* is shared with the performance audit; this audit owns **correctness,
> integrity, modeling, and data lifecycle**. Phase 0 decides scope; non-applicable mandates
> are logged, never skipped silently.

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