novelty-check

Verify research idea novelty against arXiv, Google Scholar, and conference proceedings.

14.4k|1.3k|Updated Mar 10, 2026

Search Tags:#prior art #literature review #academic search #ml research #research idea #novelty check

Ready to run

npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill novelty-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: novelty-check
Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/novelty-check
Command: npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill novelty-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps researchers and developers determine if their proposed research ideas or methods are novel by systematically checking against existing literature.

Core Features & Use Cases

Literature Search: Conducts multi-source searches across academic databases and pre-print servers.
Claim Identification: Breaks down a research idea into core technical claims for targeted verification.
Cross-Model Review: Utilizes a separate, powerful LLM to critically assess novelty against found literature.
Use Case: Before investing significant time into a new machine learning algorithm, use this Skill to ensure it hasn't already been published, saving resources and preventing redundant work.

Quick Start

Use the novelty-check skill to verify if the idea of using diffusion models for protein folding prediction is novel.

Frequently Asked Questions about novelty-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check if my machine learning research idea is already published?▼

To verify research idea novelty, this Skill breaks down concepts into core technical claims and searches arXiv, Google Scholar, and major conference proceedings to identify existing prior art.

What is the best way to perform an academic search for prior art on a new method?▼

The best way to perform an academic search for prior art is using a system that conducts multi-source literature searches and employs a separate LLM to critically assess originality against found papers.

How does a literature review tool identify the closest prior work to a research idea?▼

A literature review tool identifies closest prior work by extracting core technical claims from your idea and matching them against recent academic literature retrieved from multiple pre-print servers.

Can I use an automated novelty check for machine learning algorithms before starting development?▼

Yes, you can use an automated novelty check for machine learning algorithms to verify originality, preventing redundant work and saving resources before you invest significant development time.

Does this novelty verification process search across arXiv and Google Scholar?▼

Yes, this novelty verification process searches across arXiv and Google Scholar, in addition to querying major conference proceedings to comprehensively assess the originality of your technical claims.

What are the limitations of using an LLM to assess research idea originality?▼

A limitation of using an LLM to assess research idea originality is that it relies on search results from arXiv and Google Scholar, meaning very recent unpublished methods or paywalled papers might be missed.