gke-inference
Pass
Audited by Gen Agent Trust Hub on Jun 25, 2026
Risk Level: SAFE
Full Analysis
- Command Execution: The skill uses standard command-line tools such as
gcloudandkubectlto interact with Google Cloud services and Kubernetes clusters. These operations are within the scope of managing inference workloads on GKE. - Credential Management: For models requiring authentication tokens (such as Hugging Face), the skill correctly advises creating a Kubernetes Secret rather than hardcoding credentials, which aligns with standard security practices for secret management.
- Infrastructure Configuration: The skill includes templates for Kubernetes resources like
ComputeClassandHorizontalPodAutoscaler. These are standard manifests used to configure hardware accelerators and scaling behavior in a cloud environment. - User-Controlled Parameters: While the workflow involves generating manifests based on user-provided model and hardware parameters, the process includes a manual review step (
cat inference.yaml) before deployment, allowing for verification of the generated content.
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