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-advanced-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-advanced-search)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-advanced-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-advanced-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-advanced-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-advanced-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 | $0.00040 | $0.01320 |
| Opus 5 | $0.00020 | $0.00660 |
| Sonnet 5 | $0.00008 | $0.00264 |
| Haiku 4.5 | $0.00004 | $0.00132 |
Grade A, and why
gs-advanced-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
100% identical to gs-advanced-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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Scholar Advanced Search
Construct and execute a Google Scholar search using URL parameters based on the user's natural language description.
Arguments
$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"
Step 1: Parse search criteria into URL parameters
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,qcan be omitted or used for additional keywords - Always include
hl=enfor consistent results - Use
num=10(default) to minimize CAPTCHA risk
Step 2: Navigate
Use mcp__chrome-devtools__navigate_page:
- url:
https://scholar.google.com/scholar?{CONSTRUCTED_PARAMS}
Step 3: Extract results (evaluate_script)
Same extraction script as gs-search step 2:
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 · 120 lines · 40 tokens per session scan A 85a07411c548
gs-advanced-search is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 40 tokens to every session and 1,320 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gs-advanced-search, differing in 1 line, and is treated as a copy.
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