kube-agents-observability

Audit logs, metrics, and traces for Platform Agent on GKE.

42|32|Updated May 7, 2026
One-click install
npx skills add https://github.com/gke-labs/kube-agents --skill kube-agents-observability
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kube-agents-observability
Source: https://github.com/gke-labs/kube-agents/tree/main/agents/platform/skills/kube-agents-observability
Command: npx skills add https://github.com/gke-labs/kube-agents --skill kube-agents-observability

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill addresses the complexity of monitoring autonomous agents by providing a unified interface to audit logs, analyze distributed traces, and verify system metrics across GKE and cloud-native observability stacks.

Core Features & Use Cases

  • Log Auditing: Centralizes the inspection of agent logs, sidecar aggregators, and user interaction history via Google Cloud Logging.
  • Performance Analysis: Identifies latency bottlenecks by analyzing distributed traces and span distributions.
  • Resource Monitoring: Tracks LLM token usage and infrastructure metrics to ensure operational efficiency and cost control.

Quick Start

Use the kube-agents-observability skill to analyze the last 24 hours of trace latency for the platform agent in the current project.

Frequently Asked Questions about kube-agents-observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug Kubernetes agent performance bottlenecks using distributed tracing?

Yes, you can monitor LLM token usage and infrastructure metrics to ensure operational efficiency and cost control. It tracks resource consumption across Google Cloud Monitoring to prevent unexpected scaling expenses.

What's the best way to audit Kubernetes agent logs and user interactions in GKE?

Audit Kubernetes agent logs by centralizing the inspection of agent logs, sidecar aggregators, and user interaction history. It queries Google Cloud Logging to provide a unified view of agent behavior within your GKE environment.

Do I need Google Cloud SDK and IAM permissions to query Cloud Logging and Cloud Trace?

Yes, you need the Google Cloud SDK and appropriate IAM permissions configured. Access is required to successfully query the Cloud Logging, Cloud Trace, and Monitoring APIs to retrieve your Kubernetes observability data.

How does observability for autonomous agents work in a cloud-native stack?

Observability for autonomous agents works by providing a unified interface to audit logs, analyze distributed traces, and verify system metrics. This addresses the complexity of monitoring autonomous agents across GKE and cloud-native stacks.

Can I analyze the last 24 hours of trace latency for my platform agent?

Yes, you can analyze the last 24 hours of trace latency for the platform agent in your current project. This facilitates the identification of recent performance bottlenecks and operational anomalies.