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Baixiao Mcp Skill

Community
infometa
baixiao-mcp-skill

百晓智能 —— 学术检索技能: 中文人文社科文献与政策检索、参考文献核实、引用追溯、投稿期刊与审稿人推荐

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namebaixiao-mcp-skill
Stars
376
Forks
124
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by infometa on GitHub. Read the source before you install it.

Installation

Install the Baixiao Mcp Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/baixiao-mcp/skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/baixiao-mcp/skills .claude/skills/baixiao-mcp-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Baixiao Mcp Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Baixiao Mcp Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Baixiao Mcp Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

百晓智能

本 Skill 指导 AI 使用百晓智能的学术检索能力,服务于中文人文社科(公共管理、政治学、社会学、经济学、法学、教育学等)的文献调研、写作与投稿。

能做什么 / 不能做什么

能做:检索中文人文社科期刊论文、政策文件、基金申报与立项记录;检索国际英文文献;核实参考文献真伪;追溯引用关系;推荐投稿期刊与审稿人;检索用户自己在百晓的知识库。

不能做:不生成综述或论文正文(本服务只返回结构化检索结果,写作由你自己完成);不提供文献全文正文;不做数据统计分析;不检索理工医科为主的中文文献。

工具路由:先选对工具,再调用

用户想做什么用这个工具
找中文人文社科论文baixiao_corpus_search
找英文/国际文献baixiao_external_search
按标题/作者/期刊/年份等具体字段精确查baixiao_advanced_search
查政府政策文件baixiao_policy_search
查基金申报机会(还能投的)baixiao_grants_cfp_search
查基金立项/中标记录(谁拿到过)baixiao_grants_award_search
查香港科研基金baixiao_hk_grants_search
查新思想相关理论文献baixiao_xi_thought_search
核实一条参考文献真伪baixiao_verify_reference
核实整份参考文献表baixiao_verify_references
把残缺引文补全成规范元数据(单条)baixiao_fetch_metadata
批量补全多条残缺引文baixiao_fetch_metadata_batch
顺着一篇文献找上下游引用baixiao_citation_graph
这篇稿子投哪个期刊baixiao_journal_fit
找审稿人baixiao_find_reviewers
搜用户自己的知识库baixiao_my_kb_search
用户有哪些知识库baixiao_list_my_kbs

⚠️ 最常见的错误:中文文献去调 baixiao_external_search。中文人文社科一律先用 baixiao_corpus_search;只有用户明确要英文/国际文献时才用 baixiao_external_search。

工具说明

baixiao_corpus_search — 中文人文社科文献检索

百晓自建的中文人文社科语料库检索,是本服务的核心能力。

参数类型必填说明
querystring✅检索式,用中文自然语言或关键词
collection_idsstring[]-限定检索的子库,不填即全库
page_sizeinteger-返回条数,默认适中,最多按服务端上限

baixiao_external_search — 国际英文文献检索

跨多个开放学术数据源检索英文文献。

参数类型必填说明
querystring✅英文检索词
limitinteger-返回条数
from_year / to_yearinteger-年份区间

baixiao_advanced_search — 字段精确检索

已知标题/作者/期刊等具体信息时用,比关键词检索更准。

参数类型必填说明
title / author / journal / publisherstring-字段值,至少给一个
year / year_from / year_tointeger-年份或区间
doc_type / languagestring-文献类型 / 语种
limitinteger-返回条数

baixiao_verify_reference — 单条参考文献核实

核对一条引文是否真实存在,用于抓编造/张冠李戴的参考文献。

参数类型必填说明
titlestring✅文献标题
year / journal / doi / authors / language--已知的都填上,命中率更高
is_bookboolean-是否为专著

baixiao_verify_references — 整份参考文献表批量核实

审稿、查重、核对书稿参考文献表时用这个,一次跑完整份。

参数类型必填说明
referencesarray✅参考文献数组
max_concurrencyinteger-并发度

baixiao_fetch_metadata / baixiao_fetch_metadata_batch — 引文补全

把残缺、格式混乱的引文整理成规范元数据。query(单条)/ queries(批量)为必填。

baixiao_citation_graph — 引用关系追溯

顺着一篇文献往上(被引)或往下(引用)扩展,做文献综述滚雪球。

参数类型必填说明
paper_idstring✅文献标识
directionstring-追溯方向
limitinteger-返回条数

baixiao_journal_fit — 投稿期刊推荐

参数类型必填说明
keywordsstring[]✅稿件主题关键词,建议 3~6 个
languagestring-目标语种
top / roundsinteger-返回数量 / 检索轮次

baixiao_find_reviewers — 审稿人推荐

参数同上,另有 exclude_authors 用于排除作者本人及利益相关者。

baixiao_policy_search — 政策文件检索

中央与地方政府政策文件。支持 query / author / issuer(发文机关)/ year / year_from / year_to / doc_type / limit。

baixiao_grants_cfp_search — 基金申报机会

参数说明
query / region / funder / status主题 / 地区 / 资助机构 / 状态
deadline_from / deadline_to截止日期区间
amount_min最低资助额

baixiao_grants_award_search — 基金立项/中标记录

支持按 person / institution / region / funder / program / discipline / outcome_grade / 年份区间检索。适合查"某人/某单位拿过哪些项目"。

baixiao_hk_grants_search — 香港科研基金

香港研究资助局(RGC)资助项目检索。

baixiao_xi_thought_search — 新思想文献

重要理论文献专库检索。

baixiao_get_pdf — 获取公开文献的 PDF 下载链接

对百晓语料库中已公开的文献,返回一个有时效的签名下载链接。

参数类型必填说明
identifierstring✅文献标识,取自检索结果条目里的 external_id
  • 必须先检索、再取链接:identifier 只能来自 baixiao_corpus_search 等检索工具返回的条目,不要自行拼造。
  • 仅对公开语料有效。非公开文献会返回 {"available": false, "reason": "..."}, 这是正常业务响应,如实告诉用户该文献暂无公开下载,不要重试,也不要改用其他工具去"绕"。
  • 对非百晓语料的检索结果(如国际数据源返回的条目),请直接使用条目自带的 url 或 DOI,不要调用本工具。
  • 该工具不消耗通晓币,但会占用用户的下载流量额度。

baixiao_my_kb_search / baixiao_list_my_kbs — 用户自己的知识库

检索用户在百晓智能上自建或所属团队的知识库。只能访问该 API 密钥所属账号有权限的知识库,无法访问他人数据。baixiao_list_my_kbs 无参数,先列出知识库再用 baixiao_my_kb_search 检索。

凭证

  • 用户需在 https://chat.know-pa.cn/settings/mcp 登录后生成 API 密钥(bxk_ 开头),填入 WorkBuddy 的连接表单。
  • 密钥仅存放在用户本机 ~/.workbuddy 目录下。
  • ⚠️ 鉴权失败不会返回 HTTP 错误码:HTTP 状态仍是 200,错误在工具返回内容里,形如 {"error": "unauthorized", "message": "missing API key ...", "items": []}。 看到 error: "unauthorized" 时不要把它当成"没有检索结果",而要按下面处理:
    • missing API key → 用户还没填密钥,引导他到 https://chat.know-pa.cn/settings/mcp 生成后填入 WorkBuddy 连接表单。
    • unknown or revoked API key → 密钥失效或已撤销,引导用户重新生成并更新连接设置。
  • 返回额度不足的错误 → 提示用户到账号页面查看余额,不要反复重试同一请求。
  • 凡是返回体里带 error 字段的,一律如实转述给用户,不要静默忽略后继续编造结果。

计费与调用纪律

  • 按次计费,调用失败不计费。
  • 不同工具单价不同,其中批量类(baixiao_verify_references、baixiao_fetch_metadata_batch)和聚合类(baixiao_journal_fit、baixiao_find_reviewers)开销较高。
  • 同一个问题不要反复重复调用。先用一次检索拿到结果,再基于结果推进;确需换角度时应改写检索式,而不是原样重试。
  • 批量核实整份参考文献表时,用 baixiao_verify_references 一次提交,不要对每条分别调用单条接口。

结果呈现

  • 检索结果里的题录信息(标题、作者、期刊、年份)原样引用,不要改写或"润色",否则会破坏引文准确性。
  • 核实类工具返回"未命中"时,如实告诉用户"未能核实到该文献",不要据此断言文献一定不存在,也不要替用户编造一条看起来合理的引文。
  • 返回条目较多时,先给用户一个精炼列表,再按用户要求展开。

Frequently asked questions

What does the Baixiao Mcp Skill AI skill do?

百晓智能 —— 学术检索技能: 中文人文社科文献与政策检索、参考文献核实、引用追溯、投稿期刊与审稿人推荐

Why use Baixiao Mcp Skill on TypingMind?

Because you install it once and use it with any model. Baixiao Mcp Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Baixiao Mcp Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/baixiao-mcp/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Baixiao Mcp Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Baixiao Mcp Skill?

As many as you like. As long as a model supports skills, you can use Baixiao Mcp Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Baixiao Mcp Skill AI skill free?

It is published on GitHub by infometa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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