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_outputto 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.
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