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-exportgit 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-export)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-export"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-export/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-export"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-export.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 | $0.00040 | $0.01371 |
| Opus 5 | $0.00020 | $0.00685 |
| Sonnet 5 | $0.00008 | $0.00274 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
gs-export 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
92% identical to gs-export — 3 lines 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Scholar Export to Zotero
Export Google Scholar paper citation data via BibTeX extraction and push to Zotero desktop.
Arguments
$ARGUMENTS contains one or more data-cids (space-separated), e.g.:
TFS2GgoGiNUJ— single paperTFS2GgoGiNUJ abc123XYZ def456UVW— batch export
Steps
Step 1: Get BibTeX for each paper
For each data-cid, perform 3 tool calls to bypass CORS:
1a. Fetch cite dialog to get BibTeX link (evaluate_script)
async () => {
const cid = "DATA_CID_HERE";
const resp = await fetch(
`https://scholar.google.com/scholar?q=info:${cid}:scholar.google.com/&output=cite`,
{ credentials: 'include' }
);
const html = await resp.text();
const doc = new DOMParser().parseFromString(html, 'text/html');
// Extract export links
const links = Array.from(doc.querySelectorAll('#gs_citi a')).map(a => ({
format: a.textContent.trim(),
url: a.href
}));
// Extract citation format texts
const citations = Array.from(doc.querySelectorAll('#gs_citt tr')).map(tr => {
const cells = tr.querySelectorAll('td');
return {
style: cells[0]?.textContent?.trim() || '',
text: cells[1]?.textContent?.trim() || ''
};
});
const bibtexLink = links.find(l => l.format === 'BibTeX');
return { cid, bibtexLink: bibtexLink?.url || '', links, citations };
}
1b. Navigate to BibTeX URL (navigate_page)
Use mcp__chrome-devtools__navigate_page:
- url: the
bibtexLinkURL from step 1a (onscholar.googleusercontent.com)
This bypasses CORS restrictions that block fetch() to googleusercontent.com.
1c. Read BibTeX content (evaluate_script)
async () => {
return { bibtex: document.body.innerText || document.body.textContent || '' };
}
Step 2: Parse BibTeX and push to Zotero
Save the BibTeX data as JSON, then call the push script:
python scripts/push_to_zotero.py /tmp/gs_papers.json
Before calling the script, construct a JSON file at /tmp/gs_papers.json containing paper data parsed from BibTeX. Parse the BibTeX yourself and create the JSON array:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 155 lines · 40 tokens per session scan A 8c8c97f9acde
gs-export is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 21d ago), licensed MIT. It adds 40 tokens to every session and 1,371 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to gs-export, differing in 3 lines, and is treated as a copy.
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