The Agent Skills Directory

[COMMAND_EXECUTION]: The script scripts/run_training.py utilizes subprocess.run to execute commands provided via the --command argument. While this is central to the skill's functionality, it allows the agent to execute arbitrary shell commands within the host environment.
[DYNAMIC_EXECUTION]: The script scripts/write_outputs.py uses importlib.util to dynamically load and execute a Python module from a computed relative path: ../../../shared/scripts/write_run_bundle.py. Loading code from outside the skill's local directory structure at runtime is a high-risk pattern as it depends on external files that are not part of the analyzed bundle.
[DATA_EXPOSURE]: The execution logic in scripts/run_training.py captures all stdout and stderr from the training process and writes it to train_outputs/LOG.md. If the training command or environment variables leak sensitive data (such as API keys or paths) to the console, this information will be persisted and potentially processed by the agent.

run-train