# agent-scout

> agent-scout — 123jacj-agent-scout. Use this tool when you need to streamline AI asset research and evaluation, collecting and assessing Agent frameworks, components, MCP Server, and Claude Code Skill. It solves problems related to inefficient asset discovery and evaluation, providing a workflow for gathering and storing relevant information. The agent-scout tool takes in git repositories as input and outputs evaluated and cataloged AI assets.

Canonical page: https://skillsregistry.net/skills/123jacj-agent-scout  
JSON: https://api.skillsregistry.net/v1/skills/123jacj-agent-scout

## Description

AI 资产调研与评估工作流 - 搜集、评估、入库 Agent 框架、组件、MCP Server、Claude Code Skill

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **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/123jacj/agent-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": "123jacj-agent-scout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/123jacj-agent-scout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/123jacj-agent-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