Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

yuque-knowledge-base语雀知识库

Agent Skill

用于搭建或维护带检索增强的 RAG 工作流,适合让 Agent 处理知识库问答、向量检索、来源引用和事实核查。它可以辅助整理数据接入、Embedding、向量库、召回参数和回答生成流程。使用时需要确认数据来源、更新频率、召回阈值和引用展示方式,避免把未命中的资料或过期内容包装成确定事实。

总安装

5,268

周安装

224

GitHub Stars

1

下载量

1,846
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:yuque-knowledge-base(语雀知识库)
来源仓库:https://github.com/lt5227/yuque-knowledge-base
安装命令:
openclaw skills install yuque-knowledge-base
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install yuque-knowledge-base

简介

yuque-knowledge-base 用于构建基于向量检索的 RAG 问答系统,支持知识库内容理解与引用溯源。

  • 它可辅助数据接入、Embedding 处理、召回优化及回答生成全流程。
  • 安装命令为 openclaw skills install yuque-knowledge-base,需配置语雀 API 与向量库连接。
  • 使用时需设定合理召回阈值,避免将未命中内容包装为确定事实。
  • 建议明确数据来源更新机制,确保答案时效性与准确性。

SKILL.md

name
yuque
description
>

This skill enables AI agents to interact with Yuque (语雀) — a Chinese knowledge management platform — through its OpenAPI. It works across Claude Code, opencode, openclaw, and any agent with shell access.

Quick Start

Install this skill, then tell your AI agent:

帮我配置语雀 API,我的 token 是 xxxxxxxx

The agent will automatically create config.json and verify connectivity.

How to get your API Token

  1. Login to Yuque
  2. Click Avatar → Settings (设置) → Developer (开发者) → Personal Access Token (个人访问令牌)
  3. Create a new token, copy it

Setup Details

Authentication requires a Yuque API token. The scripts look for it in this order:

  1. config.json (preferred): Create config.json in this skill's root directory:
   {
     "api_token": "your-yuque-api-token",
     "base_url": "https://www.yuque.com"
   }

See config.example.json for the template.

  1. Environment variable (fallback): export YUQUE_TOKEN="your-token"

When the user provides their API token, create config.json by copying config.example.json and filling in the token, then run python scripts/get_user.py to verify. If verification succeeds, show the user's name to confirm.

Verify setup: python scripts/get_user.py

Scripts

All scripts are in the scripts/ directory. They use only Python standard library (zero dependencies). Output is JSON to stdout, errors go to stderr.

Search & Read (RAG)

ScriptUsageDescription
search.pypython scripts/search.py "keyword"Search docs or repos
get_doc.pypython scripts/get_doc.py --repo REPO --doc DOCGet full document content
list_docs.pypython scripts/list_docs.py --repo REPOList all docs in a repo
doc_versions.pypython scripts/doc_versions.py --doc DOCDocument version history

Create & Edit

ScriptUsageDescription
create_doc.pypython scripts/create_doc.py --repo REPO --title "Title" --body-file file.mdCreate a document
update_doc.pypython scripts/update_doc.py --repo REPO --doc DOC --body-file file.mdUpdate a document
delete_doc.pypython scripts/delete_doc.py --repo REPO --doc DOCDelete a document

Knowledge Base

ScriptUsageDescription
list_repos.pypython scripts/list_repos.pyList user's repos
create_repo.pypython scripts/create_repo.py --name "Name" --slug slugCreate a new repo

Table of Contents

ScriptUsageDescription
get_toc.pypython scripts/get_toc.py --repo REPOGet repo TOC tree
update_toc.pypython scripts/update_toc.py --repo REPO --action appendNode ...Update TOC structure

User

ScriptUsageDescription
get_user.pypython scripts/get_user.pyGet current user info

Workflows

Search & Read (RAG)

When the user asks to find or read content from Yuque:

  1. Search: python scripts/search.py "keyword" — returns titles, IDs, and summaries
  2. Present the search results to the user as a numbered list
  3. Once the user selects a document, fetch the full content:

python scripts/get_doc.py --repo REPO_ID --doc DOC_ID

  1. The response data.body field contains the markdown content. If body is empty, use body_html or body_lake as fallback.

Write & Upload

When the user asks to write content and upload it to Yuque (e.g., "write a dev doc and upload to Yuque"):

  1. Write the content locally as a markdown file (e.g., /tmp/yuque_doc.md)
  2. Find the target repo: python scripts/list_repos.py — ask the user which repo to use
  3. Upload: python scripts/create_doc.py --repo REPO_ID --title "Title" --body-file /tmp/yuque_doc.md
  4. The response includes the document URL in data.slug — combine with repo namespace to form the full URL

Edit Existing Document

When the user asks to update an existing Yuque document:

  1. Find the doc: python scripts/search.py "doc title" or python scripts/list_docs.py --repo REPO_ID
  2. Read current content: python scripts/get_doc.py --repo REPO_ID --doc DOC_ID
  3. Modify the content locally
  4. Update: python scripts/update_doc.py --repo REPO_ID --doc DOC_ID --body-file /tmp/updated.md

Organize Notes

When the user asks to organize or restructure their knowledge base:

  1. View current structure: python scripts/get_toc.py --repo REPO_ID
  2. Plan the reorganization based on user instructions
  3. Apply changes: python scripts/update_toc.py --repo REPO_ID --action appendNode --action-mode child --doc-ids DOC_ID
  4. Use --action removeNode to remove nodes, --action editNode to rename

Script Details

Body input for create/update

Documents support three ways to provide body content:

  • --body "inline content" — for short content
  • --body-file /path/to/file.md — for files (recommended for long content)
  • Pipe via stdin: echo "content" | python scripts/create_doc.py ...

Pagination

List endpoints support --offset and --limit parameters. Default limit is 100.

Repository identifiers

The --repo parameter accepts either:

  • Numeric ID: --repo 12345
  • Namespace path: --repo group_login/book_slug (more readable)

Document format

Default format is markdown. All scripts default to creating/updating in markdown format. Use --format html or --format lake if needed.

User Intent Mapping

User saysAction
"搜索/查找语雀上关于 X 的文档"search.py "X"get_doc.py
"读取/打开这篇语雀文档"get_doc.py --repo R --doc D
"写一篇文档上传到语雀"Write locally → list_repos.pycreate_doc.py
"更新/修改语雀上的文档"search.pyget_doc.py → edit → update_doc.py
"列出我的知识库"list_repos.py
"查看知识库目录"get_toc.py --repo R
"整理/重新组织笔记"get_toc.pyupdate_toc.py
"创建新的知识库"create_repo.py --name "X" --slug x
"删除这篇文档"delete_doc.py --repo R --doc D
"查看文档历史版本"doc_versions.py --doc D

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.9%
按下载量换算1,567

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills