ml-experiment-tracker
Pass
Audited by Gen Agent Trust Hub on Sep 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues detected. The skill consists of documentation and best-practice code examples for machine learning development. The content is educational and follows industry standards for ML experiment tracking and versioning.
- [COMMAND_EXECUTION]: The skill provides implementation patterns for collecting git metadata using the subprocess module in Python (e.g., in references/reproducibility-checklist.md). These examples correctly use structured argument lists rather than raw shell strings, which is a safe practice that prevents command injection.
Audit Metadata