gs-fulltext

gs-fulltext is a skill for Claude Code from cookjohn/gs-skills. It costs 41 tokens per session (1,133 once invoked), scanned A, original, MIT.

A tool that finds ways to access the full text of a paper listed in Google Scholar, including PDF, publisher, and DOI links. Google Scholar is a search site for academic research.

In plain words
What is it for?
Use it after finding a paper to locate its PDF or web version, publisher page, DOI, or other available full-text options.
Why use it?
It gathers the available reading links for a paper so you do not have to open each result and search for the document yourself.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

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

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/cookjohn/gs-skills/gs-fulltext/github.svg)](https://agentmods.dev/skills/cookjohn/gs-skills/gs-fulltext)
Your own site
<a href="https://agentmods.dev/skills/cookjohn/gs-skills/gs-fulltext"><img src="https://agentmods.dev/badge/skills/cookjohn/gs-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/cookjohn/gs-skills/gs-fulltext"><img src="https://agentmods.dev/badge/skills/cookjohn/gs-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 1,133 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 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 $0.01133
Opus 5 $0.00020 $0.00566
Sonnet 5 $0.00008 $0.00227
Haiku 4.5 $0.00004 $0.00113

Measured 10d ago against content hash 43ff7d4d17fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 10d 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:

skills/gs-fulltext/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 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 · 134 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. 10d ago First seen · 134 lines · 41 tokens per session scan A 43ff7d4d17fa

Subscribe to this mod's changes

gs-fulltext is a skill published in the GitHub repository cookjohn/gs-skills (505 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 1,133 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens