# subradar

> Use this tool when you need to analyze and understand complex systems or networks, as it provides core functionality for mapping and tracking subtle relationships and patterns. Subradar solves problems related to data visualization, system monitoring, and anomaly detection, offering use cases in fields like cybersecurity, finance, and logistics. It accepts various data inputs and outputs visual representations and alerts, making it an ideal solution in contexts where real-time monitoring and swift decision-making are crucial.

Canonical page: https://skillsregistry.net/skills/colossal-api-subradar  
JSON: https://api.skillsregistry.net/v1/skills/colossal-api-subradar

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/colossal-api/subradar)

## 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": "colossal-api-subradar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/colossal-api-subradar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/colossal-api-subradar/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