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 containerandkubectlfor 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
uvfor managing thehttpxdependency 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