novelty-check

Identify novel research ideas via structured literature search and cross-model verification.

5|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/llv22/AutoResearchWithEyes --skill novelty-check-llv22
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: novelty-check
Source: https://github.com/llv22/AutoResearchWithEyes/tree/main/skills/novelty-check
Command: npx skills add https://github.com/llv22/AutoResearchWithEyes --skill novelty-check-llv22

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers confirm whether a proposed idea is novel by conducting structured literature searches, cross-model evaluation, and summarizing results into a formal novelty report.

Core Features & Use Cases

  • Structured literature search across arXiv, Google Scholar, and major databases
  • Phase-based extraction of core claims and cross-model verification
  • Formal novelty report with closest prior work and delta
  • Use Case: early-stage evaluation for grant proposals, conference submissions, or project proposals

Quick Start

Provide your method description and ask the skill to verify its novelty against recent literature.

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 research idea is novel against existing literature?

To check idea novelty, extract core claims from your proposal and perform structured searches across arXiv and recent preprints. Cross-referencing multiple query formulations per claim identifies closest prior work and produces a formal novelty report.

What is cross-model verification for a literature review?

Cross-model verification for a literature review validates search results by applying multiple query formulations per core claim against different sources. This structured search ensures early-stage research ideas are thoroughly evaluated against current literature.

How do I conduct a novelty check for an early-stage grant proposal?

Conduct a novelty check for a grant proposal by extracting core claims and searching major databases and recent 2024-2026 preprints. The process generates a formal novelty report highlighting the delta between your idea and closest prior work.

Can I verify the novelty of a method description against recent arXiv preprints?

Yes, you can verify novelty against recent arXiv preprints by inputting your method description. The skill performs structured searches with multiple query formulations to identify matching prior work and summarize the novelty delta.

Does a structured literature search cover major conferences and recent preprints?

A structured literature search covers major conferences and recent preprints from 2024-2026. It extracts core claims and cross-references sources to ensure comprehensive novelty evaluation for conference submissions.

What are the limitations of using automated novelty checks for research evaluation?

Automated novelty checks are limited to identifying closest prior work based on extracted claims and recent preprints. They serve early-stage idea evaluation and may not capture nuanced conceptual overlaps without formal cross-referencing.