What types of data can the Data Privacy Scanner detect?

The skill identifies various forms of Personally Identifiable Information (PII), including email addresses, phone numbers, financial data, and other sensitive user records.

How does it help with GDPR or HIPAA compliance?

It analyzes code and configurations for common violations, such as insufficient data anonymization or improper consent management patterns required by these regulations.

Can I scan specific directories instead of the whole project?

Yes, you can specify individual files or directories to narrow the scope of the scan, which improves performance and provides more focused results.

Does this skill provide remediation advice?

Yes, the generated report includes a description of the potential impact, helping developers understand and implement appropriate remediation measures.

Data Privacy Scanner

Name: Data Privacy Scanner
Author: intent-solutions-io

byintent-solutions-io

Security & Testing

Scans codebases and configurations to identify PII leaks, compliance violations, and potential data privacy vulnerabilities.

About

This skill empowers Claude to perform automated privacy audits by scanning source code and configuration files for sensitive data exposure. It specifically looks for Personally Identifiable Information (PII) leaks and verifies compliance with major regulations like GDPR, CCPA, and HIPAA. By providing detailed reports on potential risks and their locations, it helps developers proactively protect user data and maintain high security standards throughout the software development lifecycle.

Key Features

Automated PII leak detection in source code
Comprehensive configuration file analysis
0 GitHub stars
Context-aware identification of sensitive data patterns
GDPR, CCPA, and HIPAA compliance verification
Detailed risk reporting with vulnerability mapping

Use Cases

Performing a privacy audit before deploying a new production feature
Scanning legacy codebases for exposed PII or sensitive user data
Verifying application configurations against regulatory data standards

About

Key Features

Automated PII leak detection in source code
Comprehensive configuration file analysis
0 GitHub stars
Context-aware identification of sensitive data patterns
GDPR, CCPA, and HIPAA compliance verification
Detailed risk reporting with vulnerability mapping

Use Cases

Performing a privacy audit before deploying a new production feature
Scanning legacy codebases for exposed PII or sensitive user data
Verifying application configurations against regulatory data standards