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Cnki Export

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cookjohn
cnki-export

Export paper from CNKI and push to Zotero, or save as RIS file. Use when user wants to save a paper to Zotero or export citation data.

Overview

Publishercookjohn
Repositorycnki-skills
Skill namecnki-export
Stars
984
Forks
84
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Cnki Export 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/cookjohn/cnki-skills/tree/master/skills/cnki-export
  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/cookjohn/cnki-skills.git /tmp/cnki-skills
mkdir -p .claude/skills
cp -r /tmp/cnki-skills/skills/cnki-export .claude/skills/cnki-export
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cnki Export 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 Cnki Export 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 Cnki Export 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.

CNKI Export & Zotero Integration

Export paper citation data from CNKI and push directly to Zotero, or save as RIS file.

Arguments

  • zotero (default) — push to Zotero desktop via local API
  • ris — save as .ris file
  • gb — output GB/T 7714 citation text
  • Optionally include a paper URL

Mode Selection

Choose the right mode based on context:

ContextModeTool calls
On a paper detail pageSingle export (Step 1A)1 evaluate + 1 bash = 2
On a search results page, save all/selectedBatch export (Step 1B)1 evaluate + 1 bash = 2
Need to search then saveUse cnki-search first, then batch export4 total

Always prefer batch export (1B) when multiple papers need saving. It avoids navigating to each detail page (saves ~3 calls per paper).

Steps

1A. Single export: from paper detail page

Use mcp__chrome-devtools__evaluate_script:

javascript
async () => {
  const url = document.querySelector('#export-url')?.value;
  const params = document.querySelector('#export-id')?.value;
  const uniplatform = new URLSearchParams(window.location.search).get('uniplatform') || 'NZKPT';
  if (!url || !params) return { error: 'Not on a paper detail page' };

  const resp = await fetch(url, {
    method: 'POST',
    headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
    body: new URLSearchParams({ filename: params, displaymode: 'GBTREFER,elearning,EndNote', uniplatform })
  });
  const data = await resp.json();
  if (data.code !== 1) return { error: data.msg };

  const result = {};
  for (const item of data.data) {
    result[item.mode] = item.value[0];
  }

  const body = document.body.innerText;
  result.pageUrl = window.location.href;
  result.issn = body.match(/ISSN[::]\s*(\S+)/)?.[1] || '';
  result.dbcode = document.querySelector('#paramdbcode')?.value || '';
  result.dbname = document.querySelector('#paramdbname')?.value || '';
  result.filename = document.querySelector('#paramfilename')?.value || '';

  return result;
}

1B. Batch export: from search results page (PREFERRED for multiple papers)

On any CNKI search results page, extract checkbox values and call the export API directly — no need to navigate to detail pages.

Key discovery: input.cbItem checkbox value === detail page #export-id (same encrypted ID).

Use mcp__chrome-devtools__evaluate_script:

javascript
async () => {
  const API_URL = 'https://kns.cnki.net/dm8/API/GetExport';

  // Get all checkbox values (= export encrypted IDs)
  const checkboxes = document.querySelectorAll('.result-table-list tbody input.cbItem');
  const rows = document.querySelectorAll('.result-table-list tbody tr');

  if (checkboxes.length === 0) return { error: 'No results on page' };

  const allPapers = [];
  for (let i = 0; i < checkboxes.length; i++) {
    const exportId = checkboxes[i].value;
    const paperUrl = rows[i]?.querySelector('td.name a.fz14')?.href || '';

    const resp = await fetch(API_URL, {
      method: 'POST',
      headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
      body: new URLSearchParams({ filename: exportId, displaymode: 'GBTREFER,elearning,EndNote', uniplatform: 'NZKPT' })
    });
    const data = await resp.json();
    if (data.code === 1) {
      const result = {};
      for (const item of data.data) { result[item.mode] = item.value[0]; }
      result.pageUrl = paperUrl;
      // Extract ISSN from ENDNOTE %@ field
      const issnMatch = result.ENDNOTE?.match(/%@\s*([^\s<]+)/);
      result.issn = issnMatch ? issnMatch[1] : '';
      result.dbcode = 'CJFQ';
      result.dbname = '';
      result.filename = '';
      allPapers.push(result);
    }
  }

  return allPapers; // JSON array, directly writable to file for Python script
}

To export only specific papers (e.g. #1, #3, #5), filter by index:

javascript
// Replace the for loop condition:
const indices = [0, 2, 4]; // 0-indexed: papers #1, #3, #5
for (let i = 0; i < checkboxes.length; i++) {
  if (!indices.includes(i)) continue;
  // ... rest same
}

2. Push to Zotero

Save the export data (single object or JSON array) to a temp file, then run the Python script:

bash
python "e:/cnki/.claude/skills/cnki-export/scripts/push_to_zotero.py" /tmp/papers.json

The Python script handles both single paper {} and batch [{}, {}, ...] JSON input.

  • UTF-8 encoding (avoids Windows encoding issues)
  • Parsing ELEARNING format into Zotero item fields
  • Calling POST http://127.0.0.1:23119/connector/saveItems
  • Returns: 201 = success, 500 = error, 0 = Zotero not running

3. Report result

Single:

已将论文添加到 Zotero:
  标题: {title}
  作者: {authors}
  期刊: {journal}

GB/T 7714 引用: {gbt_citation}

Batch:

已批量添加 {count} 篇论文到 Zotero:
  1. {title1} ({journal1})
  2. {title2} ({journal2})
  ...

Export API Reference

ParameterValueSource
API URLhttps://kns.cnki.net/dm8/API/GetExportFixed, works from any page
filenameEncrypted IDDetail page: #export-id; Results page: input.cbItem value
displaymodeGBTREFER,elearning,EndNoteComma-separated modes
uniplatformNZKPTRequired

Verified selectors

ElementSelectorPage
Export URL#export-urlDetail page only
Export ID#export-idDetail page only
Checkbox (= export ID)input.cbItemSearch results page
Result rows.result-table-list tbody trSearch results page
Title linktd.name a.fz14Search results page

Zotero API Reference

POST http://127.0.0.1:23119/connector/saveItems
Content-Type: application/json
X-Zotero-Connector-API-Version: 3

Response: 201 = created, 500 = error Collection: Saves to Zotero's currently selected collection.

Query collections:

bash
python "e:/cnki/.claude/skills/cnki-export/scripts/push_to_zotero.py" --list

Important Notes

  • Windows encoding: Must use Python script, cannot pass Chinese JSON via bash/curl directly
  • Zotero must be running: localhost:23119 requires Zotero desktop in background
  • Chinese authors: Use name field (single field, not split), creatorType: "author"
  • Batch export saves ~90% tool calls: 9 papers: 33 calls → 3 calls
  • CNKI Export API: filename must be encrypted ID (#export-id or input.cbItem value), NOT #paramfilename

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cnki Export AI skill do?

Export paper from CNKI and push to Zotero, or save as RIS file. Use when user wants to save a paper to Zotero or export citation data.

Why use Cnki Export on TypingMind?

Because you install it once and use it with any model. Cnki Export 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 Cnki Export in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cookjohn/cnki-skills/tree/master/skills/cnki-export. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cnki Export?

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 Cnki Export?

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

Is the Cnki Export AI skill free?

It is published on GitHub by cookjohn. 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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