fine-tuning-expert
Pass
Audited by Gen Agent Trust Hub on Aug 23, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional content and code snippets for LLM fine-tuning using established industry-standard libraries such as transformers, peft, and vllm. All suggested practices align with secure machine learning development workflows.
- [DATA_EXFILTRATION]: No hardcoded secrets or sensitive file path access were detected. The examples correctly demonstrate using environment variables or local server configurations for API clients.
- [PROMPT_INJECTION]: While the skill is designed to process external training data, it includes robust mechanisms for data validation and quality filtering to prevent the ingestion of malicious or low-quality instructions.
- [COMMAND_EXECUTION]: Shell command usage is confined to legitimate model conversion and deployment tasks, such as quantizing models with llama.cpp tools or starting vLLM inference servers.
Audit Metadata