llm-inference-scaling
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security threats or malicious patterns were detected. The skill provides legitimate infrastructure-as-code templates and documentation for Kubernetes environments.\n- [CREDENTIALS_UNSAFE]: Sensitive information is handled using standard security practices.\n
- The
HUGGING_FACE_HUB_TOKENenvironment variable in the vLLM deployment uses asecretKeyRef, correctly referencing an external secret rather than hardcoding a token.\n - IAM role ARNs in the cluster-autoscaler helm command use generic placeholders (
ACCOUNT) rather than real identifiers.\n- [EXTERNAL_DOWNLOADS]: External resource references target well-known and reputable services.\n - Helm repositories used (
https://helm.ngc.nvidia.com/nvidia) belong to NVIDIA, a well-known technology provider.\n- [COMMAND_EXECUTION]: Command patterns are restricted to standard cluster management tasks.\n helmandkubectlusage is transparent and corresponds to the stated purpose of GPU operator and autoscaler installation.
Audit Metadata