anonymize-pii
CommunityAnonymize PII, protect privacy.
Legal & Compliance#compliance#GDPR#data privacy#data security#data masking#faker#PII anonymization#hashing
Authorpauljbernard
Version1.0.0
Installs0
System Documentation
What problem does it solves? Manually identifying and anonymizing PII across large datasets is a labor-intensive and high-risk process, often leading to data leaks or broken relationships. This Skill automates secure anonymization, ensuring privacy compliance without compromising data utility.
Core Features & Use Cases
- Configurable PII Detection: Loads customizable anonymization rules to automatically detect PII fields based on patterns and column names.
- Consistent Anonymization Strategies: Applies strategies like consistent hashing, Faker-based generation, tokenization, and nullification, maintaining a cross-table consistency map to preserve referential integrity.
- Use Case: Automatically transform sensitive production data into privacy-compliant test data. This ensures that all PII is anonymized consistently across all tables while maintaining referential integrity, making the data safe and realistic for testing.
Quick Start
Anonymize all PII in the extracted data for 'district-001' using the configured rules, ensuring no data leaks.
Dependency Matrix
Required Modules
pandasfakercryptographypyyaml
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: anonymize-pii Download link: https://github.com/pauljbernard/datamig/archive/main.zip#anonymize-pii Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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