acm-cluster-health

Official

Assess ACM hub cluster health with a 12-layer diagnostic model.

Authorstolostron
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the need for a comprehensive health assessment of ACM hub clusters, enabling users to identify and diagnose issues within the cluster's infrastructure and applications.

Core Features & Use Cases

  • 12-Layer Diagnostic Model: Offers a systematic approach to cluster health assessment, covering compute, control plane, network, storage, configuration, authentication, RBAC, webhooks, operators, cross-cluster, data flow, and UI layers.
  • Trap Detection: Identifies common pitfalls that can lead to misdiagnosis, such as stale MCH/MCE operators or console plugin backend crashes.
  • Dependency Chain Verification: Provides a framework to trace symptoms to their root causes by following component dependencies.
  • Evidence Tier Framework: Uses a tiered system to weigh the reliability of evidence in conclusions.
  • MCP Tools: Integrates with acm-search, acm-kubectl, and neo4j-rhacm for enhanced diagnostics.
  • Quick Sanity Mode: Offers a lightweight health check for quick go/no-go assessments.

Quick Start

Run the 'acm-cluster-health' skill to perform a comprehensive health check on your ACM hub cluster.

Dependency Matrix

Required Modules

acm-searchacm-kubectlneo4j-rhacm

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: acm-cluster-health
Download link: https://github.com/stolostron/acm-ai-qe/archive/main.zip#acm-cluster-health

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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