gs-search

gs-search is a skill for Claude Code from cookjohn/gs-skills. It costs 41 tokens per session (1,061 once invoked), scanned A, original, MIT.

A search tool for Google Scholar, a website that indexes academic papers and related research. It finds papers by keywords and returns details such as authors, publication year, citations, and available full-text links.

In plain words
What is it for?
Use it to find research papers on a topic, compare relevant publications, check citation counts, and locate links to PDFs or other full text.
Why use it?
It removes the need to search through Google Scholar results manually and copy paper details one by one.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to find research papers on a topic, compare relevant publications, check citation counts, and locate links to PDFs or other full text.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cookjohn/gs-skills/gs-search
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add cookjohn/gs-skills --skill gs-search
Clone the repo
git clone --depth 1 https://github.com/cookjohn/gs-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gs-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/cookjohn/gs-skills/gs-search/github.svg)](https://agentmods.dev/skills/cookjohn/gs-skills/gs-search)
Your own site
<a href="https://agentmods.dev/skills/cookjohn/gs-skills/gs-search"><img src="https://agentmods.dev/badge/skills/cookjohn/gs-skills/gs-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gs-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/cookjohn/gs-skills/gs-search"><img src="https://agentmods.dev/badge/skills/cookjohn/gs-skills/gs-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,061 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 4 Mar 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.01061
Opus 5 $0.00020 $0.00531
Sonnet 5 $0.00008 $0.00212
Haiku 4.5 $0.00004 $0.00106

Measured 12d ago against content hash 20874caa2b04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gs-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • gs-search — 95% identical, 1 lines differ
skills/gs-search/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Google Scholar for papers using keyword(s). Returns structured result list via DOM scraping.

Arguments

$ARGUMENTS contains the search keyword(s).

Steps

1. Navigate

Use mcp__chrome-devtools__navigate_page:

  • url: https://scholar.google.com/scholar?q={URL_ENCODED_KEYWORDS}&hl=en&num=10

2. Extract results (evaluate_script)

Wait for results to load, check for CAPTCHA, then scrape the DOM:

async () => {
  // Wait for results or CAPTCHA
  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));
  }

  // CAPTCHA check
  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 || '';
    // Parse "Author1, Author2 - Journal, Year - publisher"
    const parts = meta.split(' - ');
    const authors = parts[0]?.trim() || '';
    const journalYear = parts[1]?.trim() || '';
    const citedByEl = item.querySelector('.gs_fl a[href*="cites"]');
    const relatedEl = item.querySelector('.gs_fl a[href*="related"]');
    const versionsEl = item.querySelector('.gs_fl a[href*="cluster"]');

    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) || '',
      relatedUrl: relatedEl?.href || '',
      versionsUrl: versionsEl?.href || '',
      versions: versionsEl?.textContent?.match(/\d+/)?.[0] || ''
    };
  });

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

Read the full file on GitHub · 114 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 114 lines · 41 tokens per session scan A 20874caa2b04

Subscribe to this mod's changes

gs-search is a skill published in the GitHub repository cookjohn/gs-skills (506 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 1,061 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

miniapp

Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.

yc-software/qm · 25 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

deck-course-module

A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.

nexu-io/html-anything · 25 tokens

master-yinguang

A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.

xr843/Master-skill · 274 tokens