gke-ai-troubleshooting-handle-disruption-gpu-tpu

Pass

Audited by Gen Agent Trust Hub on Jul 25, 2026

Risk Level: SAFE
Full Analysis
  • Diagnostic Workflow: The skill defines a logical troubleshooting process that prioritizes gathering mandatory environment context (project, location, cluster) before offering theories, which is a security best practice for managing cloud environments.
  • Command Execution: The provided kubectl and PromQL commands are static, diagnostic in nature, and limited to gathering status information about node maintenance labels and interruption counts. They do not perform modifications or execute arbitrary scripts.
  • External References: The skill includes links to official Google Cloud documentation for implementing workload protection strategies such as graceful termination and opportunistic maintenance. These are recognized, safe resources within the vendor's domain.
  • Workload Protection Recommendations: The remediation strategies (graceful termination, PodDisruptionBudgets, and opportunistic maintenance) follow standard Kubernetes and GKE operational guidelines for high-availability workloads.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 25, 2026, 09:25 PM
Security Audit — agent-trust-hub — gke-ai-troubleshooting-handle-disruption-gpu-tpu