llm-fine-tuning
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical reference for Large Language Model (LLM) fine-tuning strategies such as LoRA and QLoRA. It contains no executable code or dangerous system commands.
- [SAFE]: All code snippets provided in the reference files are educational examples demonstrating standard usage of trusted machine learning libraries like Hugging Face Transformers and PEFT.
- [SAFE]: No evidence of data exfiltration, hardcoded credentials, or suspicious network activity was found. References to external models (e.g., Meta's Llama-2) target well-known and trusted entities.
- [SAFE]: The validation logic in
references/validations.mduses standard regular expressions to identify best-practice violations in user-provided training scripts without executing the scripts themselves.
Audit Metadata