multiclass-classification

Pass

Audited by Gen Agent Trust Hub on Sep 25, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate instructions and code templates for building machine learning models. The logic focuses entirely on data science workflows, including model training, evaluation metrics (F1 macro/micro), and SHAP-based explanations. No malicious patterns, such as command injection, exfiltration, or persistence mechanisms, were detected.
  • [EXTERNAL_DOWNLOADS]: The scripts/demo.py file declares standard dependencies via a PEP 723 metadata block. The listed packages (xgboost, scikit-learn, shap, pandas, numpy, matplotlib, and marimo) are well-known, industry-standard libraries for data science and are expected in this context.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 25, 2026, 11:18 PM