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.
How do I install this agent skill?
npx skills add https://github.com/cookjohn/cnki-skills --skill cnki-exportIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill facilitates the export of academic paper metadata from CNKI to a local Zotero desktop application. It uses browser automation to scrape paper details and a bundled Python script to interface with Zotero's local API and download associated PDF files.
- Socketwarn
1 alert: gptAnomaly
- Snykwarn
Risk: MEDIUM · 1 issue
- Runlayerfail
2/2 files flagged
What does this agent skill do?
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 APIris— save as .ris filegb— 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-API-Version: 3
Response: 201 = created, 500 = error Collection: Saves to Zotero's currently selected collection.
Query collections:
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:23119requires Zotero desktop in background - Chinese authors: Use
namefield (single field, not split),creatorType: "author" - Batch export saves ~90% tool calls: 9 papers: 33 calls → 3 calls
- CNKI Export API:
filenamemust be encrypted ID (#export-idorinput.cbItemvalue), NOT#paramfilename
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/cookjohn/cnki-skills/cnki-export">View cnki-export on skillZs</a>