# wikisearch

> wikisearch — quantumxiaol-wikisearch. Use this tool when you need to quickly access Wikipedia content offline or with limited internet connectivity. It solves the problem of searching and retrieving information from Wikipedia without relying on an internet connection by utilizing local ZIM files. The tool takes search queries as input and outputs relevant Wikipedia articles, making it ideal for research and information gathering in resource-constrained environments.

Canonical page: https://skillsregistry.net/skills/quantumxiaol-wikisearch  
JSON: https://api.skillsregistry.net/v1/skills/quantumxiaol-wikisearch

## Description

search wikipedia via local zim files

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/quantumxiaol/wikisearch)

## 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": "quantumxiaol-wikisearch"
    }
  }
}
```

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