# linglong-scout

> linglong-scout — xinovate-linglong-scout. Use this tool when you need to collect and gather information from various sources to fuel AI workflows, solving problems related to data scarcity and workflow inefficiency. It takes in git repository data and other relevant inputs, outputting structured information to inform AI-driven decision-making. Ideal for use cases where automated data collection and workflow optimization are crucial.

Canonical page: https://skillsregistry.net/skills/xinovate-linglong-scout  
JSON: https://api.skillsregistry.net/v1/skills/xinovate-linglong-scout

## Description

Linglong Scout — information collection agent for AI workflows

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/xinovate/linglong-scout)

## 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": "xinovate-linglong-scout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xinovate-linglong-scout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xinovate-linglong-scout/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