vllm-server

Pass

Audited by Gen Agent Trust Hub on Oct 29, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill utilizes standard package managers and container registries to download well-known, reputable software components.
  • Installs the vllm package via pip.
  • Pulls official Docker images from vllm/vllm-openai.
  • [INDIRECT_PROMPT_INJECTION]: The skill describes how to deploy a server that ingests untrusted data for LLM inference, creating a surface for indirect prompt injection.
  • Ingestion points: User prompts are accepted via the /v1/chat/completions API endpoint.
  • Boundary markers: Includes a "Version and exposure boundary" section that instructs users to use loopback-only addresses (127.0.0.1) and warns against using sample keys.
  • Capability inventory: The skill utilizes subprocess execution for model serving (vllm serve) and container management (docker run).
  • Sanitization: Documentation explicitly recommends implementing approved authentication, TLS, and network policies before exposing the service remotely.
  • [SAFE]: The skill uses placeholders such as your-secret-key, ${HF_TOKEN}, and ${VLLM_API_KEY} instead of hardcoding sensitive credentials.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 29, 2026, 06:59 AM