sota-ml-engineering
Pass
Audited by Gen Agent Trust Hub on Aug 5, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional content and security best practices for Machine Learning (ML) engineering, including guidance on avoiding unsafe model deserialization and managing data privacy.
- [SAFE]: Audit checklists utilize standard, benign search utilities (
grep,find,ls) intended for identifying configuration patterns in local development environments. - [SAFE]: The skill explicitly warns against security risks such as arbitrary code execution via
pickleand provides recommendations for using safer formats likesafetensorsor ONNX. - [SAFE]: External references point to authoritative and trusted sources, including Google Research, NIST, and MITRE ATLAS documentation.
Audit Metadata