# radar

> radar — skyhook-io-radar. Use this tool when you need to gain visibility into your Kubernetes environment, as it provides topology, event timelines, and service traffic insights, along with resource browsing and Helm management capabilities. It solves problems related to cluster monitoring, troubleshooting, and management, allowing for more efficient resource utilization and issue resolution. Ideal for use cases involving complex Kubernetes deployments, it takes in cluster data and outputs actionable insights and visualizations.

Canonical page: https://skillsregistry.net/skills/skyhook-io-radar  
JSON: https://api.skillsregistry.net/v1/skills/skyhook-io-radar

## Description

The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/skyhook-io/radar)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "skyhook-io-radar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skyhook-io-radar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skyhook-io-radar/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt