neuroarxiv — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by UditAkhourii · LLM Plugin · ★ 423

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is neuroarxiv safe to install? View the security audit →

About neuroarxiv

NeuroArxiv — a skill to kill from-scratch coding ### 🎮 Join the Discord → This is where the real-time thinking happens: arXiv category coverage, eval design, prior-art hunting, and neurodivergence-inspired research on reasoning architectures — shared with the ADHD community. Got opinions on isolation discipline, corpus gaps, or just want to argue about the next eval problem — come argue with us live. 👉 Join the community → as a contributor, maintainer, early adopter, or just a member. One short form. We coordinate category-taxonomy contributions, eval problems, integrations, and adopter onboarding there. Before Claude designs something new, it checks arXiv first. Real papers, fetched over real HTTP, read in isolation so no source anchors another, converged into ONE recommendation — cited, with a first step and the known ways this has already gone wrong for somebody else. Not a search wrapper: search

arxivarxiv-apillmplanningreasoningreasoning-language-modelsreasoning-modelsworkflow

Quick Facts

Stars423
Forks44
LanguageTypeScript
CategoryLLM Plugin
LicenseMIT
Quality Score73.2286449561734/100
Open Issues2
Last Updated2026-09-17
Created2026-08-05
Platformsclaude-code, node
Est. Tokens~15k

Compatible Skills

These tools work well together with neuroarxiv for enhanced workflows:

  • paper-search-mcp-nodejs — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • cognition-wheel — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • arxiv-latex-mcp — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • mcp-atom-of-thoughts — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

neuroarxiv alternative? Top 6 similar tools

Looking for a neuroarxiv alternative? If you're comparing neuroarxiv with other llm plugin tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • flock by Onelevenvy · ⭐ 1.1k

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  • claude-forge by sangrokjung · ⭐ 822

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  • open-webui-tools by Haervwe · ⭐ 801

    Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into

  • flow-next by gmickel · ⭐ 705

    Faster than your agent alone. And better. A workflow plugin that takes a bug, idea or ticket to a verified pul

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Frequently Asked Questions

What is neuroarxiv?

neuroarxiv is A skill to kill from-scratch coding — Claude checks real arXiv prior art before it designs a new architecture.. It is categorized as a LLM Plugin with 423 GitHub stars.

What programming language is neuroarxiv written in?

neuroarxiv is primarily written in TypeScript. It covers topics such as arxiv, arxiv-api, llm.

How do I install or use neuroarxiv?

You can find installation instructions and usage details in the neuroarxiv GitHub repository at github.com/UditAkhourii/neuroarxiv. The project has 423 stars and 44 forks, indicating an active community.

What license does neuroarxiv use?

neuroarxiv is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to neuroarxiv?

The top alternatives to neuroarxiv on Agent Skills Hub include agentic-ai, flock, flow-like. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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