gptq
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- SAFE (SAFE): No security issues detected. The skill contains documentation and functional code snippets for model quantization using standard industry libraries like AutoGPTQ and Transformers.
- Unverifiable Dependencies & Remote Code Execution (SAFE): The installation instructions reference the official AutoGPTQ wheel index on GitHub Pages (huggingface.github.io), which is a trusted source. No piped shell scripts or suspicious remote execution patterns were found.
- Privilege Escalation (SAFE): While the troubleshooting guide mentions a sudo command for installing system-level dependencies (python3-dev), this is a standard administrative requirement for compiling Python extensions and is appropriate for the context.
- Data Exposure & Exfiltration (SAFE): The skill does not access sensitive local files or perform unauthorized network requests. All network operations are limited to downloading public models and datasets from Hugging Face.
Audit Metadata