evaluating-ml-models
Pass
Audited by Gen Agent Trust Hub on Oct 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and Python code templates for machine learning evaluation workflows. It utilizes standard, well-known libraries such as scikit-learn for metrics and cross-validation, Optuna and Ray Tune for hyperparameter optimization, and MLflow and Weights & Biases for experiment tracking.
- [SAFE]: All external links and documentation references target official domains of established open-source projects or reputable machine learning services (scikit-learn.org, optuna.readthedocs.io, docs.ray.io, mlflow.org, docs.wandb.ai).
- [SAFE]: No evidence of prompt injection, data exfiltration patterns, credential exposure, or malicious command execution was found in the instructions or the provided reference files.
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