
cnki-paper-detail
Extract full paper details from a CNKI paper page including title, authors, affiliations, abstract, keywords, fund, classification. Use when the user needs detailed information about a specific paper.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/cookjohn/cnki-skills --skill cnki-paper-detail- 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-paper-detail 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 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 $ARGUMENTS contains a URL:
- Use
mcp__chrome-devtools__navigate_pagewith the URL. - Use
mcp__chrome-devtools__wait_forwith text["摘要"]and timeout 15000.
2. Check for captcha
Use mcp__chrome-devtools__take_snapshot. If "拖动下方拼图完成验证" found, notify user:
CNKI 正在显示滑块验证码。请在 Chrome 浏览器中手动完成拼图验证,完成后告诉我继续。
3. Extract paper metadata via JavaScript
Use mcp__chrome-devtools__evaluate_script with this function:
() => {
const brief = document.querySelector('.brief');
if (!brief) return { error: 'Paper detail section (.brief) not found' };
// Title
const title = brief.querySelector('h1')?.innerText?.trim()
?.replace(/\s*附视频\s*$/, '') // remove "附视频" suffix
?.replace(/\s*网络首发\s*$/, ''); // remove "网络首发" suffix
// Authors - first h3.author contains author links with sup tags
const authorH3s = brief.querySelectorAll('h3.author');
const authorSection = authorH3s[0];
const authors = [];
if (authorSection) {
const authorLinks = authorSection.querySelectorAll('a');
authorLinks.forEach(a => {
const name = a.innerText?.replace(/\d+$/, '').trim();
const supMatch = a.innerText?.match(/(\d+)$/);
const affiliationNum = supMatch ? supMatch[1] : '';
authors.push({ name, affiliationNum });
});
}
// Affiliations - second h3.author contains org links
const affiliations = [];
if (authorH3s.length > 1) {
const orgLinks = authorH3s[1].querySelectorAll('a');
orgLinks.forEach(a => {
affiliations.push(a.innerText?.trim());
});
}
// Abstract
const abstractEl = document.querySelector('.abstract-text');
const abstract = abstractEl?.innerText?.trim() || '';
// Keywords
const keywordsP = document.querySelector('p.keywords');
const keywords = keywordsP
? Array.from(keywordsP.querySelectorAll('a')).map(a => a.innerText?.replace(/;$/, '').trim())
: [];
// Fund
const fundsP = document.querySelector('p.funds');
const fund = fundsP?.innerText?.trim() || '';
// Classification code
const clcCode = document.querySelector('.clc-code');
const classification = clcCode?.innerText?.trim() || '';
// Journal/source
const docTop = document.querySelector('.doc-top');
const journal = docTop?.querySelector('a')?.innerText?.trim() || '';
// Online first / publication info
const headTime = document.querySelector('.head-time');
const pubInfo = headTime?.innerText?.trim() || '';
// Is online first?
const isOnlineFirst = !!brief.querySelector('.icon-shoufa');
// Article outline/TOC
const catalogList = document.querySelector('.catalog-list, .catalog-listDiv');
const toc = catalogList?.innerText?.trim() || '';
// Citation network counts
const citationTabs = document.querySelectorAll('ul.module-tab.tpl_lieteratures li');
const citationInfo = {};
citationTabs.forEach(li => {
const id = li.getAttribute('data-id');
const text = li.innerText?.trim();
const countMatch = text.match(/(\d+)/);
if (id) {
citationInfo[id] = {
label: text.replace(/\d+/, '').trim(),
count: countMatch ? parseInt(countMatch[1]) : 0
};
}
});
return {
title,
authors,
affiliations,
abstract,
keywords,
fund,
classification,
journal,
pubInfo,
isOnlineFirst,
toc,
citationInfo
};
}
4. Format and present the output
## {title} {isOnlineFirst ? "[网络首发]" : ""}
**Authors:**
{For each author: "- {name} ({affiliation})"}
**Affiliations:**
{For each affiliation: "- {affiliation}"}
**Journal:** {journal}
**Publication Info:** {pubInfo}
**Abstract:**
{abstract}
**Keywords:** {keywords joined by ", "}
**Fund:** {fund}
**Classification:** {classification}
**Citation Network:**
{For each citation type: "- {label}: {count}"}
5. Fallback: snapshot-based parsing
If JS extraction fails, use mcp__chrome-devtools__take_snapshot and parse the accessibility tree:
- Title:
headinglevel 1 element - Authors:
linkelements whose URLs containkcms2/author/detail - Affiliations:
linkelements whose URLs containkcms2/organ/detail - Abstract:
StaticTextfollowing "摘要:" - Keywords:
linkelements whose URLs containkcms2/keyword/detail - Fund:
linkelements following "基金资助:" - Classification:
StaticTextfollowing "分类号:"
Verified DOM Selectors
| Data | Selector | Notes |
|---|---|---|
| Paper section | .brief | Main paper info container |
| Title | .brief h1 | May contain icons, clean text needed |
| Authors | .brief h3.author:first-of-type a | Text has superscript numbers (e.g., "张三1") |
| Affiliations | .brief h3.author:nth-of-type(2) a | Text starts with "N." (e.g., "1.北京大学") |
| Abstract | .abstract-text | Full abstract text |
| Keywords | p.keywords a | Semicolon-separated keyword links |
| Fund | p.funds | Fund information text |
| Classification | .clc-code | CLC classification codes |
| Journal | .doc-top a | Source journal link |
| Online first | .brief .icon-shoufa | Present if paper is online first |
| Citation tabs | ul.module-tab.tpl_lieteratures li | data-id attr identifies type |
FAQ
What does the cnki-paper-detail skill do?
Extract full paper details from a CNKI paper page including title, authors, affiliations, abstract, keywords, fund, classification. Use when the user needs detailed information about a specific paper.
How do I install cnki-paper-detail?
Run npx skills add https://github.com/cookjohn/cnki-skills --skill cnki-paper-detail 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-paper-detail/ (personal) or .claude/skills/cnki-paper-detail/ (project).
Which AI agents can use cnki-paper-detail?
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-paper-detail 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-paper-detail?
It is published by cookjohn in cookjohn/cnki-skills. It has 656 recorded installs.
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