alphaxiv-paper-lookup

alphaxiv-paper-lookup is a skill for Claude Code, Codex from ResearAI/DeepScientist. It costs 40 tokens per session (604 once invoked), scanned A, original, Apache-2.0.

A lookup tool for research papers hosted on arXiv, a public website for sharing scientific papers. It uses AlphaXiv to provide a structured, AI-generated overview instead of requiring you to read the paper's raw PDF.

In plain words
What is it for?
Use it to explain, summarize, or analyze an arXiv paper when you have its identifier or URL.
Why use it?
It gives you a quicker way to understand a paper's main ideas and findings. It also handles paper references supplied as arXiv IDs or links.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to explain, summarize, or analyze an arXiv paper when you have its identifier or URL.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak
About the project

DeepScientist is a local research studio that manages the cycle from baseline experiments through research findings and paper-ready outputs. Researchers use it to organize autonomous scientific investigations, review progress, and take control when needed. The catalogue add-ons provide workflows and agent integrations for running research projects with it.

ResearAI/DeepScientist · 3,323 stars · on GitHub

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 ResearAI/DeepScientist --skill alpharxiv-paper-loopup.rootbak
Clone the repo
git clone --depth 1 https://github.com/ResearAI/DeepScientist

Made for: Claude Code, Codex.

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 alphaxiv-paper-lookup

README.md
[![agentmods](https://agentmods.dev/badge/skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak/github.svg)](https://agentmods.dev/skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak)
Your own site
<a href="https://agentmods.dev/skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak/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 alphaxiv-paper-lookup

Your own site · 80×15
<a href="https://agentmods.dev/skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/alpharxiv-paper-loopup.rootbak.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 604 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00040 $0.00604
Opus 5 $0.00020 $0.00302
Sonnet 5 $0.00008 $0.00121
Haiku 4.5 $0.00004 $0.00060

Measured 11d ago against content hash ccef6ac5cb16, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

alphaxiv-paper-lookup scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

src/skills/.alpharxiv-paper-loopup.rootbak/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AlphaXiv Paper Lookup

Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.

When to Use

  • User shares an arxiv URL (e.g. arxiv.org/abs/2401.12345)
  • User mentions a paper ID (e.g. 2401.12345)
  • User asks you to explain, summarize, or analyze a research paper
  • User shares an alphaxiv URL (e.g. alphaxiv.org/overview/2401.12345)

Workflow

Step 1: Extract the paper ID

Parse the paper ID from whatever the user provides:

Input Paper ID
https://arxiv.org/abs/2401.12345 2401.12345
https://arxiv.org/pdf/2401.12345 2401.12345
https://alphaxiv.org/overview/2401.12345 2401.12345
2401.12345v2 2401.12345v2
2401.12345 2401.12345

Step 2: Fetch the machine-readable report

curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"

This returns the intermediate machine-readable report �� a structured, detailed analysis of the paper optimized for LLM consumption. One call, plain markdown, no JSON parsing.

If this returns 404, the report hasn't been generated for this paper yet.

Step 3: If you need more detail, fetch the full paper text

If the report doesn't contain the specific information the user is asking about (e.g. a particular equation, table, or section), fetch the full paper text:

curl -s "https://alphaxiv.org/abs/{PAPER_ID}.md"

This returns the full extracted text of the paper as markdown. Only use this as a fallback �� the report is usually sufficient.

If this returns 404, the full text hasn't been processed yet. As a last resort, direct the user to the PDF at https://arxiv.org/pdf/{PAPER_ID}.

Error Handling

  • 404 on Step 2: Report not generated for this paper.
  • 404 on Step 3: Full text not yet extracted for this paper.

Read the full file on GitHub · 60 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. 11d ago First seen · 60 lines · 40 tokens per session scan A ccef6ac5cb16

Subscribe to this mod's changes

alphaxiv-paper-lookup is a skill published in the GitHub repository ResearAI/DeepScientist (3,323 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 604 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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