Data retention policy checker

Skill sisodiabhumca/agent-skills/skills/data-retention-policy-checker

Production-Ready Agent Skills : product analytics, growth experiments, CRM, research synthesis, postmortems, data contracts, SaaS spend, compliance, architecture maps, and LLM eval and many more.

Install

npx -y skills add sisodiabhumca/agent-skills --skill data-retention-policy-checker

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Vendor-neutral skill to check a data retention schedule for completeness and risk (coverage, deletion handling, legal holds) and produce a structured findings report.

SKILL.md

1.3 KB, as published. Nobody here has run it

When to invoke

You are drafting or reviewing a data retention policy / schedule.
You need a quick gap analysis before legal/security review.

Inputs needed

A JSON policy with:
- datasets (name, data_class, system, retention_days, deletion_method)
- legal_hold_supported (bool)
- backup_retention_days (int)
- notes (optional)

Workflow

Validate schema and required fields.
Flag missing or inconsistent retention values.
Check for common high-risk patterns:
- indefinite retention for personal data without justification
- missing deletion method
- backup retention longer than primary without rationale
- no legal hold process
Output a human-readable report (Markdown) plus a machine-readable summary section.

Output format

Markdown with:

Summary (counts by severity)
Findings table (severity, dataset, issue, recommendation)
Notes and assumptions

Guardrails

This is not legal advice; report must say it is a preliminary check.
Do not claim compliance with any specific regulation.

Reference code

check_retention_policy.py reads JSON policy and writes Markdown findings.