tao-train-metric-learning-recognition

Pass

Audited by Gen Agent Trust Hub on Sep 22, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns such as prompt injection, unauthorized data exfiltration, or persistence mechanisms were detected. The skill is consistent with its stated purpose of managing TAO Toolkit workflows.
  • [COMMAND_EXECUTION]: The skill facilitates the execution of model training and deployment tasks using the ml_recog CLI tool, typically within Docker containers. These operations are the primary intended function of the skill.
  • [EXTERNAL_DOWNLOADS]: The skill documentation and metadata reference container images from nvcr.io (NVIDIA Container Registry). These are official vendor resources and are documented neutrally as requirements for the skill's operation.
  • [DYNAMIC_EXECUTION]: The skill identifies a specific technical issue with PyTorch 2.6 checkpoint loading and provides a workaround using the TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD environment variable. Notably, the skill includes a safety warning advising users not to apply this setting to untrusted checkpoints, demonstrating best practice for mitigating potential security risks associated with full-object serialization.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 22, 2026, 01:54 PM