Privacy Checker & Anonymizer

概要

The Privacy Checker skill is a comprehensive toolkit for developers managing sensitive datasets within Claude Code. It automates the detection of Personally Identifiable Information (PII), applies advanced anonymization techniques like pseudonymization and perturbation, and performs rigorous privacy risk assessments using metrics such as k-anonymity and differential privacy. By integrating compliance checks for GDPR, HIPAA, and CCPA, this skill ensures that synthetic data generation and data processing workflows remain secure, preventing accidental data leakage and meeting strict regulatory requirements.

主な機能

• Automated PII detection for direct identifiers, quasi-identifiers, and sensitive attributes
• Privacy risk assessment metrics including K-Anonymity, L-Diversity, and T-Closeness
• Comprehensive anonymization techniques including suppression, generalization, and tokenization
• Advanced data leakage detection to prevent synthetic data from mirroring real-world records
• Regulatory compliance checking for GDPR, HIPAA, CCPA, and SOC 2
• 0 GitHub stars

ユースケース

• Validating synthetic datasets for machine learning to ensure zero leakage of source data
• Sanitizing production datasets for safe use in development and testing environments
• Automating privacy audits and compliance reporting for sensitive data pipelines