Skip to content
OpenSmartRoute
Skillv1.0.0

kubestellar-console

Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills

by sickn33(0) 0 installs
Free
Sign in to install

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Imported from sickn33/agentic-awesome-skills (skills/kubestellar-console/SKILL.md). Install upstream with npx skills add sickn33/agentic-awesome-skills --skill kubestellar-console. Copyright stays with the author (Apache-2.0).

KubeStellar Console

Overview

KubeStellar Console is an open-source multi-cluster Kubernetes dashboard (CNCF project) with AI-powered operations. It ships with kc-agent, an MCP server that bridges coding agents to kubeconfig and Kubernetes APIs, plus 10+ built-in agent skills for development, testing, and operations.

When to Use This Skill

  • Use when managing multiple Kubernetes clusters across edge and cloud
  • Use when you need AI-assisted Kubernetes troubleshooting and debugging
  • Use when running performance tests, cache compliance checks, or CI debugging on a Kubernetes dashboard
  • Use when integrating with CNCF projects (Argo, Kyverno, Istio, and 20+ others)

How It Works

Step 1: Install kc-agent

brew tap kubestellar/tap && brew install kc-agent

Step 2: Start the MCP server

kc-agent

This bridges the active kubeconfig context to any MCP-compatible coding agent. Do not start it from a cluster-admin or write-capable context unless the user explicitly accepts that risk.

Step 3: Use built-in agent skills

The project ships with agent skills accessible via CLAUDE.md and AGENTS.md:

  • @perf-test — Dashboard performance testing and TTFI analysis
  • @cache-test — Card cache compliance testing (IndexedDB warm return)
  • @nav-test — Navigation performance testing
  • @ui-compliance-test — Card loading compliance (8 criteria, 150+ cards)
  • @ci-status — CI pipeline monitoring and status checks
  • @rca — Root cause analysis for CI/test failures
  • @tdd — Test-driven development workflow
  • @k8s-debug — Kubernetes debugging and troubleshooting

Key Features

  • Multi-cluster management across edge and cloud
  • Real-time streaming observability
  • 20+ CNCF project integrations (Argo, Kyverno, Istio, etc.)
  • GitHub OAuth authentication
  • Supply chain security (SBOM, SLSA)
  • SQLite WASM caching with stale-while-revalidate pattern
  • 15+ themes with dark/light mode

Security & Safety Notes

  • Critical risk: kc-agent bridges your active kubeconfig context to MCP-compatible agents. If that context carries cluster-admin, write permissions, or secret read access, agents inherit those capabilities.
  • Do not rely on RBAC objects alone: creating a ServiceAccount or ClusterRoleBinding does not change the credentials kc-agent uses. Start kc-agent only after switching KUBECONFIG/context to dedicated least-privilege credentials and verifying them.
  • Recommended read-only scope: avoid resources='*', because it includes sensitive objects such as Secrets. Prefer an explicit non-secret resource list and verify access before starting the MCP server:
    kubectl create serviceaccount kc-agent -n default
    kubectl create clusterrole kc-agent-readonly \
      --verb=get,list,watch \
      --resource=pods,services,deployments.apps,replicasets.apps,statefulsets.apps,daemonsets.apps,namespaces,nodes,events,configmaps
    kubectl create clusterrolebinding kc-agent-readonly \
      --clusterrole=kc-agent-readonly \
      --serviceaccount=default:kc-agent
    kubectl auth can-i get secrets --as=system:serviceaccount:default:kc-agent
    kubectl auth can-i list pods --as=system:serviceaccount:default:kc-agent
  • The first can-i command must return no; the second should return yes. Then create or select a kubeconfig that actually authenticates as that ServiceAccount before running kc-agent.
  • Do not expose kc-agent on a public network without authentication.
  • Review SECURITY-AI.md for prompt injection and agent drift mitigations.

Limitations

  • This skill requires an external binary (kc-agent) installed separately via Homebrew.
  • Do not treat agent output as a substitute for environment-specific validation or expert review.
  • Stop and ask for clarification if required permissions or safety boundaries are unclear.

Links

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/sickn33-agentic-awesome-skills-kubestellar-console/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

sickn33-agentic-awesome-skills-kubestellar-console.ocm.jsonjson
{
  "ocm": "1",
  "id": "sickn33-agentic-awesome-skills-kubestellar-console",
  "kind": "skill",
  "name": "kubestellar-console",
  "description": "Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills",
  "publisher": "sickn33",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding",
      "data_analysis"
    ],
    "tags": [
      "skill-md",
      "kubernetes",
      "multi-cluster",
      "mcp",
      "dashboard",
      "cncf",
      "devops",
      "observability",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/sickn33/agentic-awesome-skills",
      "path": "skills/kubestellar-console/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/sickn33/agentic-awesome-skills/blob/HEAD/skills/kubestellar-console/SKILL.md",
      "key": "sickn33/agentic-awesome-skills/skills/kubestellar-console/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# KubeStellar Console\n\n## Overview\n\nKubeStellar Console is an open-source multi-cluster Kubernetes dashboard (CNCF project) with AI-powered operations. It ships with `kc-agent`, an MCP server that bridges coding agents to kubeconfig and Kubernetes APIs, plus 10+ built-in agent skills for development, testing, and operations.\n\n## When to Use This Skill\n\n- Use when managing multiple Kubernetes clusters across edge and cloud\n- Use when you need AI-assisted Kubernetes troubleshooting and debugging\n- Use when running performance tests, cache compliance checks, or CI debugging on a Kubernetes dashbo",
  "cost": {
    "context_tokens": 1050
  }
}

Fetch it by URL: GET /api/v1/registry/sickn33-agentic-awesome-skills-kubestellar-console/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.