skills/qcmuu/ai-research-skills/gptq/Gen Agent Trust Hub

gptq

Pass

Audited by Gen Agent Trust Hub on Sep 9, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill provides instructions and examples for downloading pre-quantized models and datasets from well-known services such as HuggingFace and GitHub repositories. These are standard procedures for the described quantization and inference tasks.
  • [COMMAND_EXECUTION]: Includes standard shell commands for environment setup, specifically using pip for Python package management and apt-get for system-level dependency installation.
  • [PRIVILEGE_ESCALATION]: Mentions the use of sudo specifically for installing necessary system development headers (python3-dev) required for building C++ extensions. This is a routine administrative task in a development environment and is presented in a troubleshooting context.
  • [INDIRECT_PROMPT_INJECTION]: The skill outlines the process for loading external datasets (e.g., C4, ShareGPT) to be used for model calibration. While this involves processing external data, the activity is confined to technical quantization workflows using established open-source libraries, presenting no significant risk to agent behavior.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 9, 2026, 07:07 PM
Security Audit — agent-trust-hub — gptq