ml-experiment-standards
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is primarily instructional, providing best practices for ML model training, evaluation, and reporting.
- [SAFE]: Python code snippets provided for configuration management, random seed setting, and spatial data grouping utilize standard, safe libraries (numpy, scikit-learn) and exhibit no dangerous behaviors.
- [SAFE]: External references are limited to official documentation for reputable machine learning frameworks (scikit-learn and PyTorch).
- [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found across the files.
Audit Metadata