scikit-learn
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate documentation and utilities for the scikit-learn library. All external links point to the official scikit-learn documentation site (scikit-learn.org).
- [SAFE]: The skill utilizes standard and reputable Python packages such as 'scikit-learn', 'pandas', and 'numpy', managing them through the 'uv' package manager.
- [DYNAMIC_EXECUTION]: Reference documentation includes instructions for model persistence using 'pickle' and 'joblib'. This is a standard practice for saving and loading machine learning models locally and is presented in a purely educational and functional context.
- [INDIRECT_PROMPT_INJECTION]: The skill documents methods for ingesting data from external files (e.g., CSV files) using 'pandas'. While this represents a data ingestion surface, the skill focuses on legitimate data analysis and does not contain instructions that would lead to the unsafe execution of data content.
Audit Metadata