peft-fine-tuning
Pass
Audited by Gen Agent Trust Hub on May 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructions and code for legitimate machine learning development using well-known, industry-standard libraries including
peft,transformers,torch, andbitsandbytes. - [EXTERNAL_DOWNLOADS]: The skill references external resources from trusted domains such as GitHub (huggingface), Hugging Face documentation, and arXiv research papers. These are standard references for the library's official documentation and scientific context.
- [COMMAND_EXECUTION]: Installation commands use standard package managers (pip) for known libraries. Examples of command-line tools like the llama.cpp converter are documented for legitimate model format conversion tasks.
- [DATA_EXFILTRATION]: While the skill includes functionality to upload models to the Hugging Face Hub (
push_to_hub), this is an intended and documented feature of the library used for sharing or backing up fine-tuned models. No sensitive local file access or unauthorized data transmission was found. - [PROMPT_INJECTION]: No patterns of prompt injection, instruction overrides, or safety bypasses were detected in the instructions or metadata.
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