fine-tuning-expert

Pass

Audited by Gen Agent Trust Hub on Mar 27, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: A thorough analysis of the skill's instructions and reference files revealed no malicious patterns such as prompt injection, data exfiltration, or obfuscation.
  • [COMMAND_EXECUTION]: The skill contains Python code snippets in references/deployment-optimization.md that use the subprocess module to execute local scripts for model conversion and quantization (specifically for the llama.cpp project). These commands are standard for the described workflow and are used for the skill's primary purpose.
  • [EXTERNAL_DOWNLOADS]: The skill references and imports established machine learning libraries (such as Hugging Face Transformers, PEFT, and vLLM). It uses standard methods like load_dataset to fetch training data from Hugging Face, which is expected behavior for a fine-tuning expert tool.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 27, 2026, 07:23 AM