ai-model-training

Pass

Audited by Gen Agent Trust Hub on Jun 13, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: The skill includes scripts that use subprocess.check_output to capture the current environment state (e.g., pip freeze, git rev-parse HEAD). This is a standard practice in machine learning for experiment reproducibility and does not pose a security risk in this context.
  • [EXTERNAL_DOWNLOADS]: The documentation and code snippets reference integration with well-known third-party experiment tracking services such as Weights & Biases (W&B), MLflow, and Neptune. These are well-known technology services used for logging training metrics and are considered safe.
  • [DATA_EXPOSURE]: The skill explicitly includes a security-enhancing 'PII removal' pipeline within its data preparation references to prevent sensitive information from entering training datasets.
  • [SAFE]: No prompt injection, obfuscation, unauthorized privilege escalation, or persistence mechanisms were found across the skill's instructions and reference files.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 13, 2026, 09:11 AM
Security Audit — agent-trust-hub — ai-model-training