gs-advanced-search

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English

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Chinese

Google Scholar Advanced Search

Google Scholar 高级搜索

Construct and execute a Google Scholar search using URL parameters based on the user's natural language description.

根据用户的自然语言描述，构建并执行基于URL参数的Google Scholar搜索。

Arguments

输入参数

$ARGUMENTS is a natural language description of the search criteria, e.g.:

"Search for Einstein's papers on relativity after 2020"
"Find reviews about CRISPR in Nature"
"Search for exact phrase 'machine learning' in title only"

$ARGUMENTS是搜索条件的自然语言描述，例如：

"搜索爱因斯坦2020年以后关于相对论的论文"
"查找《Nature》期刊中关于CRISPR的综述"
"仅在标题中精确搜索'machine learning'"

Step 1: Parse search criteria into URL parameters

步骤1：将搜索条件解析为URL参数

Map the user's intent to Google Scholar URL parameters:

Criteria	Parameter	Example
Keywords	`q`	`q=gastric+cancer`
Author	`as_sauthors`	`as_sauthors="Albert Einstein"`
Journal/Source	`as_publication`	`as_publication=Nature`
Start year	`as_ylo`	`as_ylo=2020`
End year	`as_yhi`	`as_yhi=2025`
Exact phrase	`as_epq`	`as_epq=machine+learning`
Any of these words (OR)	`as_oq`	`as_oq=immunotherapy+checkpoint`
Exclude words	`as_eq`	`as_eq=review`
Search scope	`as_occt`	`as_occt=title` (title only) / `as_occt=any` (anywhere)
Results per page	`num`	`num=10` (default) or `num=20` (max)
Language	`hl`	`hl=en` or `hl=zh-CN`

Construction examples:

"Einstein 2020 年以后在 Nature 上的论文" →

scholar?as_sauthors=Einstein&as_publication=Nature&as_ylo=2020&hl=en

"标题包含 CRISPR 的论文" →
```
scholar?q=CRISPR&as_occt=title&hl=en
```
"精确搜索 'deep learning' 排除 review" →
```
scholar?as_epq=deep+learning&as_eq=review&hl=en
```
"搜索 immunotherapy 或 checkpoint 相关论文" →
```
scholar?as_oq=immunotherapy+checkpoint&hl=en
```

Notes:

When
```
as_sauthors
```
,
```
as_publication
```
, etc. are used,
```
q
```
can be omitted or used for additional keywords
Always include
```
hl=en
```
for consistent results
Use
```
num=10
```
(default) to minimize CAPTCHA risk

将用户需求映射为Google Scholar的URL参数：

筛选条件	URL参数	示例
关键词	`q`	`q=gastric+cancer`
作者	`as_sauthors`	`as_sauthors="Albert Einstein"`
期刊/来源	`as_publication`	`as_publication=Nature`
起始年份	`as_ylo`	`as_ylo=2020`
结束年份	`as_yhi`	`as_yhi=2025`
精确短语	`as_epq`	`as_epq=machine+learning`
任意关键词（或）	`as_oq`	`as_oq=immunotherapy+checkpoint`
排除关键词	`as_eq`	`as_eq=review`
搜索范围	`as_occt`	`as_occt=title` （仅标题）/ `as_occt=any` （全文范围）
每页结果数	`num`	`num=10` （默认）或 `num=20` （最大值）
语言	`hl`	`hl=en` 或 `hl=zh-CN`

参数构建示例：

"Einstein 2020 年以后在 Nature 上的论文" →

scholar?as_sauthors=Einstein&as_publication=Nature&as_ylo=2020&hl=en

"标题包含 CRISPR 的论文" →
```
scholar?q=CRISPR&as_occt=title&hl=en
```
"精确搜索 'deep learning' 排除 review" →
```
scholar?as_epq=deep+learning&as_eq=review&hl=en
```
"搜索 immunotherapy 或 checkpoint 相关论文" →
```
scholar?as_oq=immunotherapy+checkpoint&hl=en
```

注意事项：

使用
```
as_sauthors
```
、
```
as_publication
```
等参数时，
```
q
```
可省略或用于补充关键词
始终添加
```
hl=en
```
以保证结果一致性
使用默认值
```
num=10
```
来降低触发CAPTCHA验证的风险

Step 2: Navigate

步骤2：访问页面

Use

mcp__chrome-devtools__navigate_page

url:

https://scholar.google.com/scholar?{CONSTRUCTED_PARAMS}

调用

mcp__chrome-devtools__navigate_page

工具：

url:

https://scholar.google.com/scholar?{CONSTRUCTED_PARAMS}

Step 3: Extract results (evaluate_script)

步骤3：提取结果（执行脚本）

Same extraction script as gs-search step 2:

javascript

async () => {
  for (let i = 0; i < 20; i++) {
    if (document.querySelector('#gs_res_ccl') || document.querySelector('#gs_captcha_ccl')) break;
    await new Promise(r => setTimeout(r, 500));
  }

  if (document.querySelector('#gs_captcha_ccl') || document.body.innerText.includes('unusual traffic')) {
    return { error: 'captcha', message: 'Google Scholar requires CAPTCHA verification. Please complete it in your browser, then tell me to continue.' };
  }

  const items = document.querySelectorAll('#gs_res_ccl .gs_r.gs_or.gs_scl');
  const results = Array.from(items).map((item, i) => {
    const titleEl = item.querySelector('.gs_rt a');
    const meta = item.querySelector('.gs_a')?.textContent || '';
    const parts = meta.split(' - ');
    const authors = parts[0]?.trim() || '';
    const journalYear = parts[1]?.trim() || '';
    const citedByEl = item.querySelector('.gs_fl a[href*="cites"]');

    return {
      n: i + 1,
      title: titleEl?.textContent?.trim() || item.querySelector('.gs_rt')?.textContent?.trim() || '',
      href: titleEl?.href || '',
      authors,
      journalYear,
      citedBy: citedByEl?.textContent?.match(/\d+/)?.[0] || '0',
      citedByUrl: citedByEl?.href || '',
      dataCid: item.getAttribute('data-cid') || '',
      fullTextUrl: (item.querySelector('.gs_ggs a') || item.querySelector('.gs_or_ggsm a'))?.href || '',
      snippet: item.querySelector('.gs_rs')?.textContent?.trim()?.substring(0, 200) || ''
    };
  });

  const totalText = document.querySelector('#gs_ab_md')?.textContent?.trim() || '';
  const currentUrl = window.location.href;
  return { total: totalText, resultCount: results.length, currentUrl, results };
}

使用与gs-search步骤2相同的提取脚本：

javascript

async () => {
  for (let i = 0; i < 20; i++) {
    if (document.querySelector('#gs_res_ccl') || document.querySelector('#gs_captcha_ccl')) break;
    await new Promise(r => setTimeout(r, 500));
  }

  if (document.querySelector('#gs_captcha_ccl') || document.body.innerText.includes('unusual traffic')) {
    return { error: 'captcha', message: 'Google Scholar requires CAPTCHA verification. Please complete it in your browser, then tell me to continue.' };
  }

  const items = document.querySelectorAll('#gs_res_ccl .gs_r.gs_or.gs_scl');
  const results = Array.from(items).map((item, i) => {
    const titleEl = item.querySelector('.gs_rt a');
    const meta = item.querySelector('.gs_a')?.textContent || '';
    const parts = meta.split(' - ');
    const authors = parts[0]?.trim() || '';
    const journalYear = parts[1]?.trim() || '';
    const citedByEl = item.querySelector('.gs_fl a[href*="cites"]');

    return {
      n: i + 1,
      title: titleEl?.textContent?.trim() || item.querySelector('.gs_rt')?.textContent?.trim() || '',
      href: titleEl?.href || '',
      authors,
      journalYear,
      citedBy: citedByEl?.textContent?.match(/\d+/)?.[0] || '0',
      citedByUrl: citedByEl?.href || '',
      dataCid: item.getAttribute('data-cid') || '',
      fullTextUrl: (item.querySelector('.gs_ggs a') || item.querySelector('.gs_or_ggsm a'))?.href || '',
      snippet: item.querySelector('.gs_rs')?.textContent?.trim()?.substring(0, 200) || ''
    };
  });

  const totalText = document.querySelector('#gs_ab_md')?.textContent?.trim() || '';
  const currentUrl = window.location.href;
  return { total: totalText, resultCount: results.length, currentUrl, results };
}

Step 4: Report

步骤4：生成报告

Advanced search on Google Scholar:
Query parameters: {list the parameters used}
{total}

1. {title}
   Authors: {authors} | {journalYear}
   Cited by: {citedBy} | [Full text]({fullTextUrl})
   Data-CID: {dataCid}

2. ...

Always show the constructed URL parameters so the user understands how the query was built.

Google Scholar 高级搜索结果：
查询参数：{列出使用的参数}
{total}

1. {title}
   作者：{authors} | {journalYear}
   被引用次数：{citedBy} | [全文链接]({fullTextUrl})
   Data-CID：{dataCid}

2. ...

需始终展示构建好的URL参数，以便用户理解查询逻辑。

Notes

补充说明

This skill uses 2 tool calls:
```
navigate_page
```
+
```
evaluate_script
```
Google Scholar does NOT support publication type filtering (review, clinical trial, etc.) — use keywords instead
Impact factor is not available in Google Scholar — use citation count as a proxy
The key difference from gs-search is URL parameter construction — this skill translates natural language to Google Scholar query parameters

本技能调用2个工具：
```
navigate_page
```
+
```
evaluate_script
```
Google Scholar不支持文献类型筛选（综述、临床试验等）——需通过关键词实现
Google Scholar无法获取影响因子——可将被引用次数作为替代指标
与gs-search的核心区别在于URL参数构建——本技能可将自然语言转换为Google Scholar查询参数