preference-optimization
Pass
Audited by Gen Agent Trust Hub on Jul 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides Python configuration templates using standard libraries (trl, unsloth) for model fine-tuning. These templates use placeholders for models and data, following safe development practices.
- [SAFE]: Instructions for iterative training and data pair construction describe legitimate machine learning workflows without requesting excessive permissions or performing suspicious operations.
- [SAFE]: The external references (TRL, Unsloth, Hugging Face) are well-known, trusted entities in the machine learning ecosystem.
Audit Metadata