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 pickle and provides recommendations for using safer formats like safetensors or ONNX.
  • [SAFE]: External references point to authoritative and trusted sources, including Google Research, NIST, and MITRE ATLAS documentation.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 5, 2026, 10:16 PM
Security Audit — agent-trust-hub — sota-ml-engineering