ray-train
Pass
Audited by Gen Agent Trust Hub on Mar 28, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [SAFE]: The skill uses industry-standard libraries and established patterns for distributed machine learning without any evidence of malicious behavior or obfuscation.\n- [EXTERNAL_DOWNLOADS]: Facilitates the installation of trusted machine learning dependencies.\n
- Evidence: pip installation commands for
ray[train],torch, andtransformersare present inSKILL.mdandreferences/multi-node.md.\n- [COMMAND_EXECUTION]: Provides shell commands for managing infrastructure lifecycle.\n - Evidence: Includes commands for starting Ray head and worker nodes (
ray start), checking status (ray status), and stopping the cluster (ray stop).\n - Evidence: Submits training tasks to remote compute nodes using
ray job submit.\n- [DATA_EXFILTRATION]: Utilizes network operations for coordination between distributed compute nodes.\n - Evidence: Establishes network connections between cluster nodes via
ray.init(address='auto')and remote head node addresses.
Audit Metadata