The Agent Skills Directory

[SAFE]: The skill is a legitimate resource for distributed ML training orchestration. It provides standard configuration examples and implementation details for Ray Train.
[EXTERNAL_DOWNLOADS]: The skill references standard machine learning libraries including ray[train], torch, and transformers, which are fetched from official package registries (PyPI).
[COMMAND_EXECUTION]: Includes documented shell commands for Ray cluster lifecycle management (ray start, ray up, ray stop) and job submission (ray job submit). These are standard operational procedures for the Ray framework and are used within their intended context.
[DATA_EXPOSURE]: No hardcoded credentials or unauthorized access to sensitive files were found. Documentation for cloud providers (AWS, GCP, Azure) and Kubernetes uses standard placeholders (e.g., xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx, my-project-id) for identifiers.

ray-train