scikit-learn-machine-learning

Pass

Audited by Gen Agent Trust Hub on May 6, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill recommends installing standard, well-known Python packages for machine learning (scikit-learn, numpy, pandas, matplotlib, seaborn) via pip. These are legitimate, widely-used libraries from official registries.
  • [COMMAND_EXECUTION]: Includes standard commands for package installation and model persistence (joblib). Model loading (joblib.load) is a standard practice in scikit-learn workflows for persisting trained models. While loading untrusted pickle/joblib files can be a vector for arbitrary code execution, the example provided demonstrates a safe local round-trip (saving and loading the same pipeline).
Audit Metadata
Risk Level
SAFE
Analyzed
May 6, 2026, 01:49 AM
Security Audit — agent-trust-hub — scikit-learn-machine-learning