fine-tuning-with-trl
Pass
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a comprehensive technical guide for Reinforcement Learning from Human Feedback (RLHF) workflows using the TRL library.
- [EXTERNAL_DOWNLOADS]: Fetches various instruction-following and preference datasets from established Hugging Face organizations such as
trl-libandargilla(e.g.,trl-lib/Capybara,trl-lib/ultrafeedback_binarized). - [COMMAND_EXECUTION]: Provides standard command-line instructions for installing dependencies through
pipand running training scripts using thetrlcommand-line interface and Python modules. - [SAFE]: No evidence of prompt injection, data exfiltration, or obfuscation was found. The skill does not attempt to access sensitive system files or environment variables.
Audit Metadata