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data-retention-auditorlisted

Audit where personal or sensitive data is collected, copied, retained, backed up, logged, exported, and deleted, then compare actual lifecycle behavior with stated policy. Use when adding a data field, preparing a privacy review, implementing account deletion, reducing stored data, or checking whether retention controls work across primary and secondary systems.
imtiazrayhan/agentscamp-library · ★ 1 · AI & Automation · score 77
Install: claude install-skill imtiazrayhan/agentscamp-library
Trace real data copies and controls; do not infer compliance from a policy document. ## Workflow 1. **Define scope and authority.** Identify data subjects, systems, environments, policy sources, contractual requirements, owners, and review boundary. Mark legal conclusions as out of scope unless supplied by qualified authority. 2. **Inventory data elements.** Classify direct identifiers, quasi-identifiers, credentials, financial or health data, content, telemetry, model inputs and outputs, and derived attributes. Record purpose and collection source. 3. **Trace every copy.** Follow writes and replication into databases, blobs, caches, queues, logs, traces, analytics, warehouses, search indexes, feature stores, exports, backups, local files, and third parties. 4. **Map retention rules.** For each copy, identify owner, purpose, legal or business basis supplied, creation time, retention clock, deletion trigger, hold or exception, and maximum duration. Flag indefinite or undocumented storage. 5. **Inspect enforcement.** Locate TTLs, partitions, lifecycle policies, deletion jobs, anonymization, key destruction, vendor APIs, and access controls. Verify whether controls apply to historical records and failure retries. 6. **Test subject workflows.** Trace access, correction, export, and deletion identifiers across aliases, tenant moves, merged accounts, and derived data. Check authorization, auditability, partial failure, retry, and completion evidence. 7. **Handle backups honestly.