The Agent Skills Directory

[SAFE]: The skill follows established machine learning best practices for hyperparameter optimization, including structured search spaces, strategy selection based on trial budgets, and framework configuration.
[SAFE]: All code snippets provided for Optuna, Ray Tune, and Hyperopt are educational and use standard patterns. No dangerous execution patterns such as arbitrary shell command construction from user input were found.
[SAFE]: Credential patterns identified (e.g., PostgreSQL connection strings) are clearly marked as placeholders and examples for distributed tuning configuration, following official documentation standards.
[SAFE]: The extensive reference documentation, while containing significant repetitive boilerplate, focuses on advanced engineering concepts like concurrency, resilience, and performance optimization without introducing security risks.
[SAFE]: No obfuscation, data exfiltration, or persistence mechanisms were detected across the skill files.

ml-hyperparameter-tuning