ml-engineer
Pass
Audited by Gen Agent Trust Hub on Mar 1, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill consists of standard machine learning implementation patterns and architectural guidelines. No malicious behavior, obfuscation, hardcoded credentials, or unauthorized network operations were detected.
- [EXTERNAL_DOWNLOADS]: The skill references a variety of well-known and trusted machine learning libraries, including Scikit-learn, PyTorch, MLflow, FastAPI, and Great Expectations. These are used for their intended purposes in model development and deployment.
- [COMMAND_EXECUTION]: The provided Python code focuses on data science and machine learning operations. It does not contain any high-risk command execution patterns, such as the use of shell=True in subprocesses or attempts to modify system-level configurations.
Audit Metadata