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Cnki Journal Search

Community
cookjohn
cnki-journal-search

Search for journals/publications on CNKI by name, ISSN, CN, or sponsor. Use when the user wants to find a specific journal or browse publications.

Overview

Publishercookjohn
Repositorycnki-skills
Skill namecnki-journal-search
Stars
984
Forks
84
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cookjohn on GitHub. Read the source before you install it.

Installation

Install the Cnki Journal Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cookjohn/cnki-skills/tree/master/skills/cnki-journal-search
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cookjohn/cnki-skills.git /tmp/cnki-skills
mkdir -p .claude/skills
cp -r /tmp/cnki-skills/skills/cnki-journal-search .claude/skills/cnki-journal-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cnki Journal Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cnki Journal Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cnki Journal Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CNKI Journal Search (期刊检索)

Arguments

$ARGUMENTS is a journal name, ISSN, CN number, or sponsor name.

Steps

1. Navigate

Use mcp__chrome-devtools__navigate_page → https://navi.cnki.net/knavi

2. Search + extract results (single evaluate_script, NO wait_for)

Use mcp__chrome-devtools__evaluate_script. Replace QUERY_HERE with actual search term:

javascript
async () => {
  const query = "QUERY_HERE";

  // Wait for page load
  await new Promise((r, j) => {
    let n = 0;
    const c = () => { if (document.querySelector('input.researchbtn')) r(); else if (++n > 30) j('timeout'); else setTimeout(c, 500); };
    c();
  });

  // Check captcha (visible on screen, not hidden SDK at top:-1000000)
  const outer = document.querySelector('#tcaptcha_transform_dy');
  if (outer && outer.getBoundingClientRect().top >= 0) return { error: 'captcha' };

  // Auto-detect search type and fill
  const select = document.querySelector('select');
  if (select) {
    if (/^\d{4}-\d{3}[\dXx]$/.test(query)) select.value = 'ISSN';
    else if (/^\d{2}-\d{4}/.test(query)) select.value = 'CN';
    select.dispatchEvent(new Event('change', { bubbles: true }));
  }

  const input = document.querySelector('input[placeholder*="检索词"]');
  if (input) input.value = query;

  // Click search button (verified selector: input.researchbtn)
  document.querySelector('input.researchbtn')?.click();

  // Wait for results
  await new Promise((r, j) => {
    let n = 0;
    const c = () => { if (document.body.innerText.includes('条结果')) r(); else if (++n > 30) j('timeout'); else setTimeout(c, 500); };
    c();
  });

  // Click 期刊 tab to filter journals only
  const tabs = document.querySelectorAll('li a');
  for (const a of tabs) { if (a.innerText.trim() === '期刊') { a.click(); break; } }
  await new Promise(r => setTimeout(r, 1500));

  // Extract journal results
  const body = document.body.innerText;
  const countMatch = body.match(/共\s*(\d+)\s*条结果/) || body.match(/找到\s*(\d+)\s*条结果/);
  const count = countMatch ? parseInt(countMatch[1]) : 0;

  const results = [];
  const titleLinks = document.querySelectorAll('a[href*="knavi/detail"]');
  titleLinks.forEach(link => {
    const text = link.innerText?.trim();
    if (!text || text.length < 2) return;
    const parent = link.closest('li, .list-item') || link.parentElement?.parentElement;
    const pt = parent?.innerText || '';
    results.push({
      name: text.split('\n')[0]?.trim(),
      url: link.href,
      issn: pt.match(/ISSN[::]\s*(\S+)/)?.[1] || '',
      cn: pt.match(/CN[::]\s*(\S+)/)?.[1] || '',
      cif: pt.match(/复合影响因子[::]\s*([\d.]+)/)?.[1] || '',
      aif: pt.match(/综合影响因子[::]\s*([\d.]+)/)?.[1] || '',
      citations: pt.match(/被引次数[::]\s*([\d,]+)/)?.[1] || '',
      downloads: pt.match(/下载次数[::]\s*([\d,]+)/)?.[1] || '',
      sponsor: pt.match(/主办单位[::]\s*(.+?)(?=\n|ISSN)/)?.[1]?.trim() || ''
    });
  });

  return { query, count, results };
}

3. Present results

期刊检索 "$ARGUMENTS"(共 {count} 条):

1. {name}
   ISSN: {issn} | CN: {cn}
   复合影响因子: {cif} | 综合影响因子: {aif}
   被引: {citations} | 下载: {downloads}

Notes

  • Journal detail pages open in new tab — use list_pages + select_page
  • If only 1 journal result, can auto-navigate to detail page for cnki-journal-index
  • Search button selector: input.researchbtn (not generic button)

Captcha detection

Check #tcaptcha_transform_dy element's getBoundingClientRect().top >= 0. Tencent captcha SDK preloads DOM at top: -1000000px (off-screen, not active). Only return error: 'captcha' when top >= 0 (actually visible to user).

Tool calls: 2 (navigate + evaluate_script)

Frequently asked questions

What does the Cnki Journal Search AI skill do?

Search for journals/publications on CNKI by name, ISSN, CN, or sponsor. Use when the user wants to find a specific journal or browse publications.

Why use Cnki Journal Search on TypingMind?

Because you install it once and use it with any model. Cnki Journal Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cnki Journal Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cookjohn/cnki-skills/tree/master/skills/cnki-journal-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cnki Journal Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cnki Journal Search?

As many as you like. As long as a model supports skills, you can use Cnki Journal Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cnki Journal Search AI skill free?

It is published on GitHub by cookjohn. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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