SkillsLib.ai

Privacy Compliance Checker

Audit code and data flows for GDPR/CCPA compliance violations

4.5(53 reviews)
500+ downloads
Updated Sep 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You can systematically audit your code and data flows to uncover privacy compliance risks across GDPR, CCPA, and other regulatory frameworks. The skill maps where personally identifiable information is collected, processed, stored, and transmitted—then validates that consent mechanisms, data minimization practices, retention policies, and deletion implementations meet legal requirements. This catches compliance gaps early, before they result in regulatory fines or enforcement actions.

Features

PII mapping

Identifies all collection, processing, storage, and transmission points for personal data

Consent validation

Checks that consent mechanisms are properly implemented, documented, and auditable

Data minimization audit

Verifies you're only collecting and retaining data necessary for stated purposes

Retention policy verification

Ensures data retention schedules align with GDPR/CCPA timelines and legal holds

Right-to-deletion checks

Confirms GDPR Article 17 and CCPA deletion request implementations work end-to-end

Orphaned data detection

Flags unreachable or undocumented data storage locations

Third-party risk assessment

Identifies privacy gaps created by vendor integrations and APIs

Lawful basis documentation

Validates documented legal grounds for each data processing activity

Example Output

Example 1: PII Collection Gap

code
- ⚠️ FINDING: Uncontrolled PII Collection
Location: /src/signup.js, line 47
Issue: Email collected without explicit opt-in consent checkbox
Severity: HIGH (GDPR Art. 7 violation)
Fix: Add checkbox for marketing consent before form submission

Example 2: Retention Policy Issue

code
✗ FINDING: Missing Data Retention Policy
Location: user_analytics_pipeline.sql
Issue: No deletion trigger for inactive user records after 36 months
Severity: MEDIUM (CCPA non-compliance)
Fix: Implement automated purge job for records > 3 years old
Recommendation: Document retention rationale in DPA

Example 3: Vendor Risk

code
- ⚠️ FINDING: Unvetted Third-Party Data Flow
Location: config/integrations.json
Issue: User events sent to analytics vendor without DPA in place
Severity: CRITICAL (GDPR Art. 28 violation)
Fix: Execute Data Processing Agreement before data transfer resumes

What's Included

  • SKILL.md: Full compliance checker instruction set with GDPR/CCPA framework
  • PII Mapping Template: Spreadsheet to catalog all data flows and processing activities
  • Consent Mechanism Checklist: Step-by-step validation framework for consent collection
  • Data Retention Policy Worksheet: Table for documenting legal retention periods per data type
  • Compliance Audit Report Template: Structured findings format with severity levels and remediation steps

Who It's For

  • Compliance Officers — Conducting privacy audits and building compliance frameworks
  • Privacy Engineers — Building privacy-by-design into data architectures
  • Security Teams — Assessing privacy and data protection risk in code reviews
  • General Counsel & Legal — Preparing compliance evidence and DPA documentation
  • Product Managers — Vetting new features for privacy violations before launch

Best For

  • Privacy compliance audits — Quarterly or bi-annual reviews of code and data flows
  • Third-party vendor assessments — Checking integrations before adding analytics, CRM, or payment processors
  • New feature launches — Reviewing data collection, consent forms, and preference centers before shipping
  • Incident response — Validating deletion request implementations and tracking down orphaned data
  • Regulatory preparation — Building evidence packages for GDPR/CCPA assessments and audits

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