The Agent Skills Directory

[SAFE]: The skill is a legitimate technical resource providing documentation and Python templates for reinforcement learning with the Stable Baselines3 library.
[COMMAND_EXECUTION]: The SKILL.md file includes standard installation commands using uv pip install stable-baselines3 to set up the necessary environment.
[INDIRECT_PROMPT_INJECTION]: The skill implements a data ingestion surface through the Gymnasium environment interface, where the agent processes observations and rewards.
Ingestion points: scripts/custom_env_template.py, scripts/train_rl_agent.py, and scripts/evaluate_agent.py define or use methods that receive external data from environment simulations.
Boundary markers: The templates do not define explicit delimiters for environment observations.
Capability inventory: The skill includes file system operations for logging and model persistence (os.makedirs, model.save, model.load) and uses multiprocessing (SubprocVecEnv) for parallel environment execution.
Sanitization: The skill relies on standard data types (NumPy arrays) handled by the core libraries and does not implement custom sanitization for environment data.
[DYNAMIC_EXECUTION]: The skill utilizes standard Gymnasium registration and Stable Baselines3's vectorized environment features, which involves spawning subprocesses for parallel training. These are routine operations for the intended use case and are implemented safely using established APIs.

stable-baselines3