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Agent skill

Chatpaper Guide

by wentorai in wentorai/research-plugins

Use ChatPaper to summarize and search arXiv papers with LLM assistance

MITAuto-check passedResearch & Science

Install Chatpaper Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill chatpaper-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/research-plugins chatpaper-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature/search/chatpaper-guide .claude/skills/chatpaper-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
chatpaper-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
626 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Use ChatPaper to summarize and search arXiv papers with LLM assistance

  • Research & Science work in your project
  • SKILL.md covers Overview, Installation and Setup, Core Features and Academic Workflow Integration, plus 2 more sections
  • Calls python, git and pip; reaches github.com; needs OPENAI_API_KEY

What it does

Chatpaper Guide is an agent skill from wentorai/research-plugins. Use ChatPaper to summarize and search arXiv papers with LLM assistance

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. It works with arXiv. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/chatpaper-guide”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python
    • git
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • info.arxiv.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Chatpaper Guide loads about 1.5k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 626 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 626 words, ~1,527 tokens.

Download SKILL.mdSave it as .claude/skills/chatpaper-guide/SKILL.md (or your agent's skills folder).
name
chatpaper-guide
description
Use ChatPaper to summarize and search arXiv papers with LLM assistance

ChatPaper Guide

Overview

ChatPaper is an open-source tool that leverages large language models to automatically summarize, search, and analyze academic papers from arXiv. It addresses a fundamental challenge in modern research: the overwhelming volume of new publications makes it nearly impossible for researchers to keep up with developments in their fields through manual reading alone.

The tool connects to the arXiv API to retrieve papers based on keyword queries, then uses LLM capabilities to generate structured summaries covering research motivation, methodology, key findings, and limitations. This enables researchers to rapidly triage large batches of papers and identify the most relevant ones for detailed study.

With over 19,000 GitHub stars, ChatPaper has become a widely adopted tool in the research community. It supports multiple LLM backends and offers both command-line and web-based interfaces, making it accessible to researchers with varying levels of technical expertise.

Installation and Setup

Clone the repository and install dependencies:

bash
git clone https://github.com/kaixindelele/ChatPaper.git
cd ChatPaper
pip install -r requirements.txt

Configure your LLM API access by setting environment variables:

bash
# For OpenAI API
export OPENAI_API_KEY=$OPENAI_API_KEY

# Optional: use a custom API endpoint
export OPENAI_BASE_URL=$OPENAI_BASE_URL

Alternatively, edit the configuration directly in the settings file to specify your preferred model and API parameters. The tool supports OpenAI models as well as compatible alternatives.

Verify the installation by running a test query:

bash
python chat_paper.py --query "transformer attention mechanism" --max_results 3

Core Features

Automated Paper Search and Summarization: ChatPaper queries arXiv based on your research interests and generates concise, structured summaries for each paper:

bash
# Search for recent papers on a topic
python chat_paper.py \
  --query "graph neural networks drug discovery" \
  --max_results 10 \
  --sort "Relevance" \
  --language "en"

Each summary is structured to highlight the core research question, proposed method, experimental results, and conclusions, saving significant reading time during literature reviews.

Batch Processing: Process multiple search queries or a list of arXiv paper IDs in a single run:

bash
# Summarize specific papers by arXiv ID
python chat_paper.py \
  --pdf_path "2301.00234,2302.01567,2303.04589" \
  --language "en"

Multi-Language Output: Generate summaries in your preferred language regardless of the source paper language. This is particularly useful for researchers who think and write in a language different from the papers they read:

bash
python chat_paper.py \
  --query "quantum computing optimization" \
  --language "zh" \
  --max_results 5

Research Report Generation: Beyond individual summaries, ChatPaper can compile comparative analysis reports across multiple papers on the same topic, identifying common themes, methodological differences, and research gaps.

Show full SKILL.md (307 more words)Show less

Academic Workflow Integration

ChatPaper integrates into research workflows at several critical stages:

Daily Literature Monitoring: Set up automated scripts to check for new papers in your research area each morning. Create a cron job or scheduled task that runs ChatPaper queries and delivers summaries to your inbox or a designated folder:

bash
# Example daily monitoring script
python chat_paper.py \
  --query "large language model reasoning" \
  --max_results 20 \
  --sort "LastUpdatedDate" \
  --days 1 \
  --save_path ./daily_summaries/

Systematic Review Support: When conducting systematic literature reviews, use ChatPaper to generate initial screening summaries for a large pool of candidate papers. This accelerates the title-and-abstract screening phase by providing structured, consistent summaries that highlight methodological details often buried in abstracts.

Research Group Discussions: Generate summary documents for journal club or lab meeting preparation. Share the structured summaries with your group so everyone arrives with baseline understanding of the papers under discussion.

Identifying Research Gaps: By summarizing many papers in a subfield simultaneously, patterns emerge in what has been studied and what remains unexplored. ChatPaper summaries can be analyzed collectively to map the landscape of a research area.

Advanced Usage and Tips

Custom Prompts: Modify the summarization prompts to focus on aspects most relevant to your research. For example, you might emphasize dataset details for data-centric work or focus on theoretical contributions for more mathematical fields.

Combining with Reference Managers: Export ChatPaper summaries alongside BibTeX entries for direct import into Zotero, Mendeley, or other reference management tools. This creates an annotated bibliography with minimal manual effort.

Rate Limiting Considerations: When processing large batches, be mindful of both arXiv API rate limits and your LLM provider quotas. Space requests appropriately and consider using local or self-hosted models for high-volume processing.

Quality Verification: LLM-generated summaries may occasionally contain inaccuracies. Always verify critical claims by checking the original paper, particularly for numerical results, statistical significance values, and methodological details that require precise interpretation.

References

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/literature/search/chatpaper-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Chatpaper Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Chatpaper Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Chatpaper Guide this skillwentorai/research-plugins2981 repos~1.5kAutomated safety check: PassMIT
Read arXiv Paperkarpathy/nanochat59k1 repos~494Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

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  • Academic Tone Guide

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Works with

Categories

Questions about Chatpaper Guide

What does Chatpaper Guide do?

Use ChatPaper to summarize and search arXiv papers with LLM assistance. Chatpaper Guide is an agent skill from wentorai/research-plugins.

When should I use Chatpaper Guide?

Chatpaper Guide fits situations like: research & Science work in your project.

How do I install Chatpaper Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill chatpaper-guide -a claude-code`. Or copy the skill folder (skills/literature/search/chatpaper-guide in wentorai/research-plugins) into .claude/skills/chatpaper-guide in your project. Claude Code loads it when a task matches its description.

How do I install Chatpaper Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill chatpaper-guide -a codex`. Or copy the skill folder (skills/literature/search/chatpaper-guide in wentorai/research-plugins) into .agents/skills/chatpaper-guide in your project. Codex loads it when a task matches its description.

Can I use Chatpaper Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill chatpaper-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chatpaper-guide, .gemini/skills/chatpaper-guide, .github/skills/chatpaper-guide and .opencode/skills/chatpaper-guide in your project.

What does Chatpaper Guide need to run?

Going by SKILL.md and its folder, Chatpaper Guide needs the command-line tools its instructions call (python, git and pip) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.

Does Chatpaper Guide access the network?

SKILL.md names 2 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: info.arxiv.org. This is read from the text; nothing was executed.

Is Chatpaper Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Chatpaper Guide use?

Chatpaper Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Chatpaper Guide use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Chatpaper Guide?

Skills that share tags, products or a category with Chatpaper Guide: Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars) and Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chatpaper Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.