cnki-parse-results

Q: How do I install cnki-parse-results?

Run npx skills add https://github.com/cookjohn/cnki-skills --skill cnki-parse-results in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/cnki-parse-results/ (personal) or .claude/skills/cnki-parse-results/ (project).

by cookjohnEducation & Science

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.

Installs: 386
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/cookjohn/cnki-skills --skill cnki-parse-results

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads cnki-parse-results automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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) → link with URL containing kcms2/article/abstract (title) → links with URL containing kcms2/author/detail (authors) → link with URL containing navi.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

FAQ

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 https://github.com/cookjohn/cnki-skills --skill cnki-parse-results in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/cnki-parse-results/ (personal) or .claude/skills/cnki-parse-results/ (project).

Which AI agents can use cnki-parse-results?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is cnki-parse-results safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains cnki-parse-results?

It is published by cookjohn in cookjohn/cnki-skills. It has 386 recorded installs.

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cnki-parse-results

Install

Install

Describe the task

Review the result

SKILL.md

CNKI Parse Search Results

Prerequisites

Steps

1. Verify we are on a results page

2. Extract results via JavaScript

3. Present results

4. Fallback: snapshot-based parsing

Verified DOM Selectors (CNKI uses jQuery, stable semantic class names)

FAQ

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