# wenlan

> wenlan — 7xuanlu-wenlan. Use this tool when you need to maintain a reliable and up-to-date knowledge base for your AI agents, capturing and distilling learned information into trustworthy wiki pages with source citations. It solves the problem of outdated and unverified knowledge by keeping information current and organized. With git capabilities, Wenlan integrates seamlessly into your existing workflows, accepting inputs from AI agents and outputting verified wiki pages.

Canonical page: https://skillsregistry.net/skills/7xuanlu-wenlan  
JSON: https://api.skillsregistry.net/v1/skills/7xuanlu-wenlan

## Description

Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/7xuanlu/wenlan)

## 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": "7xuanlu-wenlan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/7xuanlu-wenlan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/7xuanlu-wenlan/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