/cnki-export

name: cnki-export
description: 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.
argument-hint: "[zotero|ris|gb] [paper URL or blank if on detail page]"

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:

| Context | Mode | Tool calls | |---------|------|-----------| | On a paper detail page | Single export (Step 1A) | 1 evaluate + 1 bash = **2** | | On a search results page, save all/selected | **Batch export (Step 1B)** | 1 evaluate + 1 bash = **2** | | Need to search then save | Use cnki-search first, then batch export | **4 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`:

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`:

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:

// 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:

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

| Parameter | Value | Source | |-----------|-------|--------| | API URL | `https://kns.cnki.net/dm8/API/GetExport` | Fixed, works from any page | | filename | Encrypted ID | Detail page: `#export-id`; Results page: `input.cbItem` value | | displaymode | `GBTREFER,elearning,EndNote` | Comma-separated modes | | uniplatform | `NZKPT` | Required |

Verified selectors

| Element | Selector | Page | |---------|----------|------| | Export URL | `#export-url` | Detail page only | | Export ID | `#export-id` | Detail page only | | Checkbox (= export ID) | `input.cbItem` | Search results page | | Result rows | `.result-table-list tbody tr` | Search results page | | Title link | `td.name a.fz14` | Search results page |

Zotero API Reference

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