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.
npx skills add YuanyuanMa03/academic-research-skills --skill gs-searchgit clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skillsWrote 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.
[](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-search)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-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.
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01070 |
| Opus 5 | $0.00020 | $0.00535 |
| Sonnet 5 | $0.00008 | $0.00214 |
| Haiku 4.5 | $0.00004 | $0.00107 |
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.
This is a copy
95% identical to gs-search — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Scholar Basic Search
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 };
}
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.
- 12d ago First seen · 115 lines · 41 tokens per session scan A 1a8fcaa37757
gs-search is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 41 tokens to every session and 1,070 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to gs-search, differing in 1 line, and is treated as a copy.
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