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performing-privacy-impact-assessment

Automates privacy impact assessments with data flow mapping, risk scoring, and GDPR/CCPA compliance checks.

954|172|Updated Mar 13, 2026
Search Tags:#risk scoring#gdpr#ccpa#privacy impact assessment#dPIA#data flow mapping#nist privacy framework
One-click install
npx skills add https://github.com/xalgord/xalgorix --skill performing-privacy-impact-assessment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performing-privacy-impact-assessment
Source: https://github.com/xalgord/xalgorix/tree/main/internal/tools/skills/data/privacy-compliance/performing-privacy-impact-assessment
Command: npx skills add https://github.com/xalgord/xalgorix --skill performing-privacy-impact-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conducting Privacy Impact Assessments (PIAs) and GDPR Article 35 DPIAs manually is slow, error-prone, and often produces incomplete data flow maps or self-attested risk scores that fail regulatory scrutiny. This Skill automates the full assessment workflow so privacy teams can systematically identify, score, and remediate privacy risks across processing activities.

Core Features & Use Cases

  • Data Inventory & Flow Mapping: Register processing activities (ROPA entries) with data categories, legal basis, retention periods, and map every flow from collection to deletion, including cross-border transfers and third-party sharing.
  • Risk Scoring & Compliance Checks: Apply a NIST PRAM/ICO-aligned likelihood-impact scoring matrix across 10 risk categories, then run automated GDPR article-level and CCPA/CPRA section-level compliance checks.
  • Remediation & Reporting: Generate prioritized remediation plans with owners and deadlines, plus formal DPIA reports and NIST Privacy Framework tier profiles.
  • Use Case: A privacy team launching a customer analytics platform uses the Skill to register the activity, map flows to a US data warehouse and an Indian ML sub-processor, score risks like cross-border transfer and automated decision-making, and produce a signed-off DPIA report for auditors.

Quick Start

Ask the AI to run a privacy impact assessment on your new data processing activity, including data flow mapping, GDPR and CCPA compliance checks, and a remediation plan.

Frequently Asked Questions about performing-privacy-impact-assessment

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

FAQPage Schema
How do I conduct a GDPR Article 35 DPIA automatically?▼

Register the processing activity with its data categories, legal basis, and retention period, then run the full DPIA risk assessment. The engine scores risks across 10 categories, checks GDPR article-level compliance, and generates a formal DPIA report with a remediation plan.

How to determine if a DPIA is required for my processing activity?▼

Run the ICO screening checklist with flags like large-scale processing, systematic monitoring, automated decision-making, and cross-border transfers. The engine returns whether a DPIA is required and lists the specific triggering criteria.

Does this support CCPA and CPRA compliance checks?▼

Yes, the engine runs CCPA/CPRA compliance checks alongside GDPR, returning a compliance score out of 100 with section-level findings. Each processing activity is evaluated against consumer rights requirements.

What privacy risk categories does the assessment cover?▼

The scoring matrix covers 10 categories: data minimization, purpose limitation, cross-border transfer, automated decision-making, data subject rights, third-party risk, security controls, retention, consent management, and breach notification. Each risk gets likelihood, impact, and a score out of 25.

What are the prerequisites for running a privacy impact assessment?▼

You need Python 3.8+, familiarity with GDPR, CCPA/CPRA, and NIST Privacy Framework concepts, access to data processing inventories and architecture documentation, and authorization from the DPO or privacy team.

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