serving-llms-vllm
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- Unverifiable Dependencies & Remote Code Execution (SAFE): The skill references standard, well-known libraries such as vLLM, PyTorch, and Transformers installed via the official PyPI registry.
- Privilege Escalation (SAFE): The use of sudo is appropriately limited to standard system administration tasks like configuring firewall rules for the model server.
- Dynamic Execution (SAFE): The documentation includes the trust-remote-code flag for compatibility with specific model architectures, which is a standard and expected feature in the machine learning ecosystem.
- Data Exposure & Exfiltration (SAFE): The guide suggests using official authentication methods (huggingface-cli login) to access gated models, with no evidence of credential harvesting or unauthorized data access.
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