gke-ai-troubleshooting-tpu-metrics-monitoring
Pass
Audited by Gen Agent Trust Hub on Aug 21, 2026
Risk Level: SAFE
Full Analysis
- Standard Cloud Monitoring Integration: The skill uses standard GKE system metrics and PromQL queries for infrastructure observability. All metric paths (e.g.,
kubernetes.io/container/accelerator/duty_cycle) and monitored resources (k8s_node,k8s_node_pool) are official Google Cloud Monitoring schema components. - Controlled Data Access: The PromQL queries are scoped to infrastructure metrics rather than application-layer data or secrets. The diagnostics focus on hardware health, node readiness, and utilization metrics necessary for cluster maintenance.
- Safe Scripting Practices: The provided validation script (
scripts/validate_queries.sh) includes standard safety checks, such as requiring an explicitPROJECT_IDenvironment variable and usingset -eto handle execution errors safely. - Placeholder usage: The skill uses standard curly-brace placeholders (e.g.,
{project_id},{cluster_name}) for dynamic context, which is common for template-based diagnostic tools.
Audit Metadata