reinforcement-learning
Pass
Audited by Gen Agent Trust Hub on Mar 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill's primary purpose is educational, providing clear documentation and best-practice templates for Reinforcement Learning (RL) developers.
- [SAFE]: All referenced Python dependencies (Gymnasium, Stable-Baselines3, TensorBoard, Optuna, Torch, ONNX, Weights & Biases, MLflow) are industry-standard tools within the AI/ML ecosystem.
- [SAFE]: Code snippets for environment creation and algorithm training follow standard patterns and do not involve dangerous operations or arbitrary command execution.
- [SAFE]: Deployment guidance includes security-positive practices such as action constraints, safety margins, and fallback policies for production agents.
- [SAFE]: No evidence of prompt injection, data exfiltration, or credential exposure was found in any of the skill's files.
- [SAFE]: No obfuscation techniques or suspicious remote code execution patterns were detected.
Audit Metadata