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Gs Fulltext

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cookjohn
gs-fulltext

Get full-text access links for a Google Scholar paper - PDF, DOI, Sci-Hub, and publisher links. Use when user wants to read or download a paper's full text.

Overview

Publishercookjohn
Repositorygs-skills
Skill namegs-fulltext
Stars
529
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cookjohn on GitHub. Read the source before you install it.

Installation

Install the Gs Fulltext AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cookjohn/gs-skills/tree/master/skills/gs-fulltext
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cookjohn/gs-skills.git /tmp/gs-skills
mkdir -p .claude/skills
cp -r /tmp/gs-skills/skills/gs-fulltext .claude/skills/gs-fulltext
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gs Fulltext in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gs Fulltext on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gs Fulltext is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

javascript
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
  };
}

Step 3: Report

## Full Text Links — {title}

**Authors:** {authors} | {journalYear}

**Direct Full Text:**
{links.fullText ? "- " + links.fullTextType + " " + links.fullText : "No direct full text link available"}

**Publisher Page:**
{links.publisher ? "- " + links.publisher : "N/A"}

**DOI:**
{links.doi ? "- " + links.doi : "No DOI detected"}

**Sci-Hub:**
{links.scihub ? "- " + links.scihub : "N/A"}

Step 4: Open full text (optional)

If the user wants to read the paper immediately, use mcp__chrome-devtools__new_page to open the preferred link in this priority:

  1. fullTextUrl (direct PDF/HTML, usually free)
  2. DOI link (may require subscription)
  3. Sci-Hub link (fallback)
  4. Publisher page

Notes

  • This skill uses 1-2 tool calls: evaluate_script (if already on results page) or navigate_page + evaluate_script
  • Google Scholar's full-text links (.gs_ggs) are usually free/open-access PDFs
  • DOI may not always be extractable from the paper URL
  • Sci-Hub works with both DOI and direct URL
  • Opening full text in a new tab adds 1 more tool call (new_page)

Frequently asked questions

What does the Gs Fulltext AI skill do?

Get full-text access links for a Google Scholar paper - PDF, DOI, Sci-Hub, and publisher links. Use when user wants to read or download a paper's full text.

Why use Gs Fulltext on TypingMind?

Because you install it once and use it with any model. Gs Fulltext is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gs Fulltext in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cookjohn/gs-skills/tree/master/skills/gs-fulltext. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gs Fulltext?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gs Fulltext?

As many as you like. As long as a model supports skills, you can use Gs Fulltext with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gs Fulltext AI skill free?

Yes. It is published on GitHub by cookjohn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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