gs-fulltext

gs-fulltext is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 41 tokens per session (1,142 once invoked), scanned A, a copy of gs-fulltext, MIT.

A tool for finding ways to access the full text of a paper listed in Google Scholar, a search engine for academic research. It can return PDF, DOI, publisher, and other access links.

In plain words
What is it for?
Use it after finding a paper to locate its PDF, publisher page, DOI, or other full-text access options.
Why use it?
It gathers the paper's available reading or download links in one place instead of making you inspect search results manually.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the gs-fulltext plugin — 1 skill shipped together

Good fit Use it after finding a paper to locate its PDF, publisher page, DOI, or other full-text access options.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuanyuanma03/academic-research-skills/gs-fulltext
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 YuanyuanMa03/academic-research-skills --skill gs-fulltext
Clone the repo
git clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skills

Made for: Claude Code.

Or install gs-fulltext, the plugin that ships this one along with the rest of its 1 skill.

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-fulltext

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-fulltext/github.svg)](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-fulltext)
Your own site
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-fulltext"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-fulltext/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-fulltext

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/gs-fulltext"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/gs-fulltext.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 1,142 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.
Origin 97% copy Near-identical to another mod 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 $0.01142
Opus 5 $0.00020 $0.00571
Sonnet 5 $0.00008 $0.00228
Haiku 4.5 $0.00004 $0.00114

Measured 13d ago against content hash 4aa4f38c8c8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gs-fulltext 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 13d 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

This is a copy

97% identical to gs-fulltext — 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.

plugins/gs-fulltext/skills/gs-fulltext/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Scholar Full Text Access

Resolve and present all full-text access options for a paper found in Google Scholar search results.

Arguments

$ARGUMENTS can be:

  • A data-cid from a previous search result
  • A result number (e.g., 3) referring to a previous search result

Prerequisites

This skill works best after a previous gs-search or gs-advanced-search call, which already extracts fullTextUrl and href for each result. If those are available, use them directly.

Steps

Step 1: Collect links from search results

From the previous search result, extract these fields for the target paper:

  • fullTextUrl: direct PDF/HTML link (from .gs_ggs a)
  • href: link to the paper's publisher page (from .gs_rt a)
  • dataCid: cluster ID

If no previous search context is available, search for the paper first using gs-search.

Step 2: Resolve additional links (evaluate_script)

Navigate to the Google Scholar results page (if not already there), then extract full-text links for the specific paper:

async () => {
  const cid = "DATA_CID_HERE";

  // Find the result item by data-cid
  const item = document.querySelector(`.gs_r.gs_or.gs_scl[data-cid="${cid}"]`);
  if (!item) return { error: 'not_found', message: 'Paper not found on current page. Try searching again.' };

  const titleEl = item.querySelector('.gs_rt a');
  const title = titleEl?.textContent?.trim() || item.querySelector('.gs_rt')?.textContent?.trim() || '';
  const paperUrl = titleEl?.href || '';

  // Full-text PDF/HTML link (shown on the right side of results)
  const fullTextEl = item.querySelector('.gs_ggs a') || item.querySelector('.gs_or_ggsm a');
  const fullTextUrl = fullTextEl?.href || '';
  const fullTextType = fullTextEl?.querySelector('span.gs_ctg2')?.textContent?.trim() || '';

  // Meta info for context
  const meta = item.querySelector('.gs_a')?.textContent || '';
  const parts = meta.split(' - ');
  const authors = parts[0]?.trim() || '';
  const journalYear = parts[1]?.trim() || '';

  // Try to extract DOI from paper URL
  let doi = '';
  if (paperUrl.includes('doi.org/')) {
    doi = paperUrl.replace(/^https?:\/\/(dx\.)?doi\.org\//, '');
  }

  // Build access links
  const links = {};

  if (fullTextUrl) {
    links.fullText = fullTextUrl;
    links.fullTextType = fullTextType || (fullTextUrl.endsWith('.pdf') ? '[PDF]' : '[HTML]');
  }

  if (paperUrl) {
    links.publisher = paperUrl;
  }

  if (doi) {
    links.doi = `https://doi.org/${doi}`;
    links.scihub = `https://sci-hub.ru/${doi}`;
  } else if (paperUrl) {
    // Sci-Hub also works with direct URLs
    links.scihub = `https://sci-hub.ru/${paperUrl}`;
  }

  return {
    dataCid: cid,
    title,
    authors,
    journalYear,
    doi,
    fullTextUrl,
    fullTextType,
    paperUrl,
    links
  };
}

Read the full file on GitHub · 135 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. 13d ago First seen · 135 lines · 41 tokens per session scan A 4aa4f38c8c8b

Subscribe to this mod's changes

gs-fulltext 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 1,142 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to gs-fulltext, differing in 1 line, and is treated as a copy.

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