Audit data handling for privacy and retention compliance.
npx skills add https://github.com/oalansilva/crypto --skill data-governance-check
Please help me install this Agent Skill. Skill: data-governance-check Source: https://github.com/oalansilva/crypto/tree/main/.codex/skills/data/data-governance-check Command: npx skills add https://github.com/oalansilva/crypto --skill data-governance-check
Review and validate data handling for privacy and retention to ensure compliance across systems and teams.
Assess your current data landscape by mapping data types, sensitivity, retention policies, and access paths to begin governance validation.
High-intent search queries and answers about installing and using this skill.
To audit data handling for privacy and retention compliance, you map data types and sensitivity across your data stores, assess retention and deletion requirements, and generate a governance risks and controls checklist identifying ownership and access paths.
Data governance validation is the process of reviewing data flows, retention schedules, and access controls to ensure regulatory compliance. You need it for regulated projects to identify owners, map sensitivity, and validate data handling across legal, finance, and engineering teams.
Yes, governance validation applies directly to data-rich applications across legal, finance, and engineering teams. It maps data types and sensitivity, assesses audit requirements, and produces a controls checklist to manage compliance risks for complex data flows.
You map data types and sensitivity by assessing your current data landscape, evaluating retention policies, and tracing access paths. This process identifies ownership and audit requirements, which are then consolidated into a governance risks and controls checklist.
The best way to assess retention, deletion, and audit requirements is to map data types across data stores, evaluate access controls, and validate data flows. This generates a governance checklist that identifies risks and assigns ownership for compliance.
fajjarnrEstablish a data governance framework covering cataloging, lineage, PII classification, and compliance.
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SSiertsemaClassify data sensitivity to generate security requirements and control mappings.
martinholovskyAudit codebases for privacy and compliance gaps with remediation steps.
