benchmark-vllm-model

Pass

Audited by Gen Agent Trust Hub on Oct 2, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides a methodology for performance benchmarking using standard infrastructure tools like chalk container and kubectl for their intended monitoring purposes.
  • [CREDENTIALS_UNSAFE]: Sensitive tokens, including Hugging Face and API keys, are handled securely through environment variables and CLI arguments rather than being hardcoded in the skill.
  • [EXTERNAL_DOWNLOADS]: The skill utilizes uv for managing the httpx dependency and pulls container images from official vLLM repositories, which are well-known and reputable sources.
  • [COMMAND_EXECUTION]: Shell commands are used appropriately for container deployment, local port-forwarding for telemetry metrics, and cost calculation queries without evidence of malicious intent.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 2, 2026, 11:17 PM