secret-leak-detector

Scans Python codebases for security vulnerabilities like SQL injection, unsafe deserialization, and hardcoded secrets to enhance project security.

Scans AI agent skill instructions for potential prompt injection vulnerabilities, providing security insights and mitigation strategies.

Identifies discrepancies between declared privacy policies and actual web application data collection practices, flagging potential regulatory risks.

Generates optimized Python ETL workflows with robust data validation using Pandas, Dask, or PySpark for scalable data processing systems.

Agent skills for specialized compliance and security auditing, including HIPAA technical safeguard checks for healthcare applications covering encryption, audit logging, and ePHI protection.

Scans all skill directories in a repository to generate a comprehensive map of agent capabilities, inputs, and outputs. Serves as the brain of a multi-agent system for routing decisions and system initialization.

Redacts personally identifiable information from text, logs, and datasets to ensure privacy compliance with GDPR and CCPA standards.

Validates agent skill definitions against agentskills.io standards, ensuring machine-readability and documentation completeness for AI skills.

Automatically scans and validates software project dependencies against a predefined whitelist of approved open-source licenses to ensure legal compliance.

Generates comprehensive technical documentation and architecture diagrams by analyzing source code, ensuring engineering teams have up-to-date API references and onboarding materials.