data_masking

Official

Protect sensitive data with character masking in structured files.

Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill offers an easy solution to mask sensitive information in structured data files, ensuring privacy and compliance.

Core Features & Use Cases

  • Sensitive Data Masking: Masks phone numbers, IDs, names, emails, and bank details with character replacement.
  • Data Security: Helps in data anonymization and privacy protection for PII handling.
  • Use Case: For example, a company might use this Skill to anonymize employee data before sharing it for compliance purposes.

Quick Start

Run the data_masking skill with the command: 'data_masking --input employee_data.csv --output anonymized.csv --masking_rules "phone:phone,idcard:idcard,name:name,email:email" --mask_char "*'

Dependency Matrix

Required Modules

pandasopenpyxl

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: data_masking
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#data-masking

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.