Cnki Paper Detail

Pulls complete metadata from CNKI paper detail pages, including title, authors with affiliations, abstracts, keywords, funding info, and citation counts. Uses JavaScript extraction to parse the DOM structure, with fallback to accessibility tree parsing if that fails. Handles CNKI's captcha verification by pausing and asking you to solve it manually in Chrome. The skill knows about CNKI's quirks like the "网络首发" (online first) indicators and cleans up title suffixes. Works either by navigating to a paper URL or extracting from whatever page you're already on. Most useful when you need structured data from Chinese academic papers without manually copying fields.

skills.sh installs: 679
GitHub stars: 1.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add cookjohn/cnki-skills --skill cnki-paper-detail --agent claude-code

Installs into .claude/skills of the current project.

Files

CNKI Paper Detail Extraction

Extract complete metadata from a CNKI paper detail page.

Arguments

$ARGUMENTS is optionally a CNKI paper detail URL (containing kcms2/article/abstract). If not provided, assumes the current page is already a paper detail page.

Steps

1. Navigate to the paper page (if URL provided)

If $ARGUMENTS contains a URL:

Use mcp__chrome-devtools__navigate_page with the URL.
Use mcp__chrome-devtools__wait_for with text ["摘要"] and timeout 15000.

2. Check for captcha

Use mcp__chrome-devtools__take_snapshot. If "拖动下方拼图完成验证" found, notify user:

CNKI 正在显示滑块验证码。请在 Chrome 浏览器中手动完成拼图验证，完成后告诉我继续。

3. Extract paper metadata via JavaScript

Use mcp__chrome-devtools__evaluate_script with this function:

() => {
  const brief = document.querySelector('.brief');
  if (!brief) return { error: 'Paper detail section (.brief) not found' };

  // Title
  const title = brief.querySelector('h1')?.innerText?.trim()
    ?.replace(/\s*附视频\s*$/, '')  // remove "附视频" suffix
    ?.replace(/\s*网络首发\s*$/, ''); // remove "网络首发" suffix

SKILL.md on GitHub