nav-pvk

Analyze code repositories and documentation to identify privacy risks and generate GDPR compliance reports.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/navikt/dab-copilot-config --skill nav-pvk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nav-pvk
Source: https://github.com/navikt/dab-copilot-config/tree/main/copilot-config/all/skills/nav-pvk
Command: npx skills add https://github.com/navikt/dab-copilot-config --skill nav-pvk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps teams conduct comprehensive privacy risk assessments by analyzing code, repository structure, and documentation to identify potential privacy risks and suggest mitigation actions.

Core Features & Use Cases

  • Privacy Impact Analysis: Inspects repositories and code to identify data flow, storage, and processing of personal data.
  • Documentation Support: Generates detailed reports aligned with the PVK process, including risk scenarios and mitigation plans.
  • Use Case: A team analyzing a new system can quickly generate a privacy risk profile, identify data handling concerns, and prepare documentation for audit or compliance.

Quick Start

Command the AI to review the repository and generate a privacy risk assessment report based on the source code and documentation.

Frequently Asked Questions about nav-pvk

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

FAQPage Schema
How do I conduct a GDPR privacy risk assessment from a code repository?

To conduct a GDPR privacy risk assessment, the system analyzes your code repositories and documentation to identify personal data flows, evaluate storage and processing risks, and generate a detailed compliance report with mitigation plans.

What is a privacy impact analysis and when do I need one for data protection?

A privacy impact analysis inspects repositories to identify how personal data flows, is stored, and is processed across systems. You need one when evaluating a new system to identify data handling concerns and prepare documentation for audit or compliance.

Can I generate compliance documentation for audits by analyzing source code?

Yes, you can generate compliance documentation by analyzing source code. The system evaluates data flows and processing across multiple systems to produce detailed reports aligned with the PVK process, including risk scenarios and mitigation plans for audits.

Does this privacy assessment approach work for evaluating data flows across multiple systems?

Yes, this privacy assessment approach works for multiple systems. It evaluates data flows, storage, and processing across multiple systems to ensure risk identification aligns with legal and technical standards for comprehensive data protection analysis.

What's the best way to identify privacy risks in a new software system?

The best way to identify privacy risks is to analyze the system's code repository and documentation. This process identifies potential privacy risks by inspecting data flow and storage, generating a privacy risk profile with suggested mitigation actions.