db-sanitization
CommunitySafely sanitize sensitive data in SQL Server databases.
Legal & Compliance#pii#batch-processing#sql-server#data-masking#referential-integrity#privacy-compliance
Authordeepanshu0504
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides guidelines and implementation patterns for building robust database sanitization logic in Python, enabling deterministic masking of PII while preserving referential integrity across SQL Server databases and ensuring rollback safety.
Core Features & Use Cases
- Deterministic masking for emails, names, phones, SSNs, and other PII to generate realistic test data without exposing sensitive information.
- Referential integrity preservation through foreign key aware updates and batched processing to maintain data relationships.
- Production-grade safeguards including data backups, safe rollback mechanisms, and post-sanitization validation to ensure data quality.
Quick Start
Provide a concrete sanitization task (e.g., mask emails and names in the Users table) and specify your target tables, columns, and determinism preferences to generate a complete Python sanitization script.
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: db-sanitization Download link: https://github.com/deepanshu0504/DB-Sanitization/archive/main.zip#db-sanitization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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