model-serving-kubernetes
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses official and well-known container images such as
nvcr.io/nvidia/tritonserverandvllm/vllm-openai. These are standard tools for LLM and ML model serving. - [SAFE]: Installation procedures follow industry standards, such as adding the official KServe Helm repository (
https://kserve.github.io/helm-charts). - [SAFE]: Sensitive data management is handled correctly using Kubernetes
secretKeyReffor theHUGGING_FACE_HUB_TOKEN. This avoids hardcoded credentials and aligns with standard security practices for managing secrets in Kubernetes. - [SAFE]: The skill defines explicit resource requests and limits for CPU, memory, and NVIDIA GPUs across all deployment examples, preventing potential Denial of Service (DoS) scenarios due to resource exhaustion.
- [SAFE]: No obfuscation, malicious persistence mechanisms, or privilege escalation patterns were detected. The commands provided are transparent and appropriate for the stated purpose of DevOps model serving operations.
Audit Metadata