fine-tuning-expert

Pass

Audited by Gen Agent Trust Hub on Aug 2, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns, obfuscation, or unauthorized data access were detected. The skill provides legitimate machine learning workflows using industry-standard libraries and follows best practices by providing validation scripts to check dataset quality before training.- [COMMAND_EXECUTION]: The skill includes reference code that utilizes subprocess.run to invoke external model conversion tools (llama.cpp). This is a standard operation for model deployment and is performed using controlled arguments.- [EXTERNAL_DOWNLOADS]: The skill fetches datasets and pre-trained model weights from the Hugging Face Hub, which is a well-known and widely used service in the machine learning community.- [PROMPT_INJECTION]: The skill processes external datasets, which constitutes a potential indirect prompt injection surface. However, the author mitigates this by providing specific functions to sanitize and validate input data, and by utilizing structured templates for prompt formatting.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 2, 2026, 08:51 PM
Security Audit — agent-trust-hub — fine-tuning-expert