gdpr-anonymizer
CommunityMask PII to protect privacy before analysis.
AuthorFolahanWilliams
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill acts as a pre-processing layer to ensure Data Minimisation by identifying and masking PII before content is sent to analysis agents, reducing privacy risk.
Core Features & Use Cases
- PII Identification: Detects Names, Email Addresses, Phone Numbers, specific Locations, Financial Account Numbers, and protected characteristics when irrelevant to the audit.
- Masking/Redaction: Replaces entities with deterministic tokens (e.g., [PERSON_1], [EMAIL_1], [LOCATION_OFFICE]) and maintains consistency across the document.
- Verification: Ensures no raw PII remains in the cleaned text and confirms proper handoff to bias_detective or noise_judge.
Quick Start
Apply the gdpr-anonymizer immediately after ingestion to mask PII in the incoming content before routing it to analysis agents.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: gdpr-anonymizer Download link: https://github.com/FolahanWilliams/decision-intel/archive/main.zip#gdpr-anonymizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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