scientific-reinforcement-learning
Pass
Audited by Gen Agent Trust Hub on Jun 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard reinforcement learning workflows using reputable scientific libraries such as stable-baselines3, gymnasium, and pufferlib.
- [COMMAND_EXECUTION]: The provided Python code performs local file system writes to save training checkpoints and logs in './models/' and './logs/' directories, which is consistent with the skill's stated purpose.
- [EXTERNAL_DOWNLOADS]: The documentation contains instructions for installing the 'pufferlib' library via standard package managers (pip), which is a common and expected dependency management practice.
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