awq-quantization
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides instructions for processing external text data through Large Language Models during inference and quantization.
- Ingestion points: Text prompts passed to
model.generatein SKILL.md and calibration samples passed tomodel.quantizein references/advanced-usage.md. - Boundary markers: Not present in the provided code snippets.
- Capability inventory: The skill focuses on model optimization and inference; it does not demonstrate access to shell execution, file-system writes, or network operations based on model output.
- Sanitization: Not applicable for the provided library usage examples.
- [EXTERNAL_DOWNLOADS]: The skill references standard machine learning libraries and model repositories.
- Downloads
autoawq,transformers, andtorchfrom the Python Package Index (PyPI). - Fetches model weights and configurations from well-known repositories on HuggingFace (e.g., TheBloke, mistralai).
- These actions are fundamental to the skill's purpose and utilize trusted, well-known services.
Audit Metadata