hyperparameter-tuning
Pass
Audited by Gen Agent Trust Hub on May 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documentation describes a legitimate machine learning workflow for hyperparameter optimization without any malicious instructions.\n- [SAFE]: The provided Python code examples utilize industry-standard libraries such as Optuna, Ray, and scikit-learn for their intended purposes.\n- [SAFE]: No security threats such as prompt injection, data exfiltration, obfuscation, or unauthorized command execution were detected in the skill content or metadata.
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