data-governance-check

Name: data-governance-check
Availability: InStock
Author: oalansilva

Audit data handling for privacy and retention compliance.

Updated Dec 28, 2025

Search Tags:#audit #compliance #governance #risk-assessment #retention #privacy #data-management

Ready to run

npx skills add https://github.com/oalansilva/crypto --skill data-governance-check

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review and validate data handling for privacy and retention to ensure compliance across systems and teams.

Core Features & Use Cases

Map data types and sensitivity across data stores.
Assess retention, deletion, and audit requirements; generate a governance checklist.
Use case: for a regulated project, run governance validation to identify owners and controls for data flows.

Quick Start

Assess your current data landscape by mapping data types, sensitivity, retention policies, and access paths to begin governance validation.

Frequently Asked Questions about data-governance-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit data handling for privacy and retention compliance across my systems?▼

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.

What is data governance validation and when do I need it for regulated projects?▼

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.

Can I use this governance validation for data-rich applications in finance and engineering?▼

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.

How do I map data types and sensitivity to produce a governance risks and controls checklist?▼

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.

What is the best way to assess retention, deletion, and audit requirements for compliance?▼

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.