# openground

> Use this tool when you need to quickly find relevant information within on-device documentation, solving problems such as knowledge gaps and inefficient information retrieval. It provides a search interface that takes in queries and returns relevant documentation results, streamlining the process of finding answers. Ideal for use cases where agents require rapid access to specific information to complete tasks or resolve issues.

Canonical page: https://skillsregistry.net/skills/poweroutlet2-openground  
JSON: https://api.skillsregistry.net/v1/skills/poweroutlet2-openground

## Description

On-device documentation search for agents

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wooc9u9iql)
- **Repository:** <https://github.com/poweroutlet2/openground>

## 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": "poweroutlet2-openground"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/poweroutlet2-openground` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/poweroutlet2-openground/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