cookjohn
Install Cnki Parse Results
Pick your agent. Every command is ready to paste.
npx skills add cookjohn/cnki-skills --skill cnki-parse-resultsThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads cnki-parse-results when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the cnki-parse-results skill”. In Codex, type $cnki-parse-results.
CNKI Parse Search Results
Extract structured paper data from the current CNKI search results page.
Prerequisites
The current Chrome page must be a CNKI search results page (URL contains kns.cnki.net and page shows "条结果").
Steps
1. Verify we are on a results page
Use mcp__chrome-devtools__take_snapshot. Verify the page contains "条结果". If not, inform the user that no search results page is currently open.
Check for captcha ("拖动下方拼图完成验证") - if found, notify user to solve it manually.
2. Extract results via JavaScript
Use mcp__chrome-devtools__evaluate_script with this function:
() => {
const rows = document.querySelectorAll('.result-table-list tbody tr');
const checkboxes = document.querySelectorAll('.result-table-list tbody input.cbItem');
const results = Array.from(rows).map((row, index) => {
const nameCell = row.querySelector('td.name');
const titleLink = nameCell?.querySelector('a.fz14');
const authorCell = row.querySelector('td.author');
const sourceCell = row.querySelector('td.source');
const dateCell = row.querySelector('td.date');
const dataCell = row.querySelector('td.data');
const quoteCell = row.querySelector('td.quote');
const downloadCell = row.querySelector('td.download');
const isOnlineFirst = !!nameCell?.querySelector('.marktip');
return {
number: index + 1,
title: titleLink?.innerText?.trim() || '',
url: titleLink?.href || '',
exportId: checkboxes[index]?.value || '',
authors: Array.from(authorCell?.querySelectorAll('a.KnowledgeNetLink') || []).map(a => a.innerText?.trim()),
journal: sourceCell?.querySelector('a')?.innerText?.trim() || '',
date: dateCell?.innerText?.trim() || '',
database: dataCell?.innerText?.trim() || '',
citations: quoteCell?.innerText?.trim() || '',
downloads: downloadCell?.innerText?.trim() || '',
isOnlineFirst: isOnlineFirst
};
});
const totalText = document.querySelector('.pagerTitleCell')?.innerText || '';
const totalMatch = totalText.match(/([\d,]+)/);
const pageInfo = document.querySelector('.countPageMark')?.innerText || '';
return {
papers: results,
totalCount: totalMatch ? totalMatch[1] : 'unknown',
pageInfo: pageInfo
};
}
3. Present results
Format as a numbered list:
CNKI search results ({totalCount} total, page {pageInfo}):
1. {title} {isOnlineFirst ? "[网络首发]" : ""}
Authors: {authors joined by "; "}
Journal: {journal} | Date: {date} | Type: {database}
Citations: {citations} | Downloads: {downloads}
URL: {url}
2. ...
4. Fallback: snapshot-based parsing
If JavaScript returns empty (DOM structure changed), use mcp__chrome-devtools__take_snapshot and parse the accessibility tree manually:
Look for the repeating pattern:
checkbox→StaticText(number) →linkwith URL containingkcms2/article/abstract(title) →links with URL containingkcms2/author/detail(authors) →linkwith URL containingnavi.cnki.net/knavi/detail(journal) →StaticText(date) →StaticText(database type)
Verified DOM Selectors (CNKI uses jQuery, stable semantic class names)
| Data | Selector | Notes |
|---|---|---|
| Table | .result-table-list tbody tr |
Each row = one paper |
| Checkbox | input.cbItem |
value = export encrypted ID |
| Number | td.seq |
Row sequence number |
| Title | td.name a.fz14 |
Paper title link |
| Authors | td.author a.KnowledgeNetLink |
Author name links |
| Journal | td.source a |
Journal/source link |
| Date | td.date |
Publication date text |
| DB Type | td.data |
Database type (期刊/学位论文) |
| Citations | td.quote |
Citation count |
| Downloads | td.download |
Download count |
| Online 1st | td.name .marktip |
"网络首发" label |
| Total | .pagerTitleCell |
"共找到 X 条结果" |
| Page | .countPageMark |
"1/300" format |
Tips for Cnki Parse Results
- • Start a fresh session after installing so your agent picks up the new skill.
- • It is part of a pack with 10 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Cnki Parse Results
What does the Cnki Parse Results skill do?
Parse current CNKI search results page into structured paper data (title, authors, journal, date, citations). Use after a search has been performed and you need to extract the results.
How do I install Cnki Parse Results?
Run "npx skills add cookjohn/cnki-skills --skill cnki-parse-results" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Cnki Parse Results work in Cursor and Codex?
Yes. Cnki Parse Results uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Cnki Parse Results free?
Cnki Parse Results is open source on GitHub. It is free to install; check the license before commercial use.
Who made Cnki Parse Results?
Cnki Parse Results is published by cookjohn in the cookjohn/cnki-skills repository, together with 9 other skills.
