# argo

> argo — zielinski2880-argo. Use this tool when you need to perform comprehensive searches across multiple sources and languages, including Chinese, English, academic, code, shopping, finance, news, and encyclopedia. Argo provides access to 200+ search sources, making it an ideal solution for agents requiring extensive information gathering capabilities. It is particularly useful in contexts where multilingual search and diverse content coverage are essential.

Canonical page: https://skillsregistry.net/skills/zielinski2880-argo  
JSON: https://api.skillsregistry.net/v1/skills/zielinski2880-argo

## Description

专门为 agent 打造的开源 agent 搜索工具，具备 200+的搜索源及多语言搜索能力，覆盖中文/英文/学术/代码/购物/金融/新闻/百科。

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-17

## Source

- **Source listing:** [GitHub](https://github.com/zielinski2880/argo)

## 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": "zielinski2880-argo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zielinski2880-argo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zielinski2880-argo/pull`

---
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