novelty-assessment

Compare research contributions against prior works and classify novelty.

Updated Mar 27, 2026
One-click install
npx skills add https://github.com/EmaRimoldi/Claude-scholar-extended --skill novelty-assessment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: novelty-assessment
Source: https://github.com/EmaRimoldi/Claude-scholar-extended/tree/main/skills/novelty-assessment
Command: npx skills add https://github.com/EmaRimoldi/Claude-scholar-extended --skill novelty-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researchers often struggle to determine whether a proposed contribution truly advances the field or merely restates existing work. This skill provides a structured novelty assessment that benchmarks against closest prior works, highlights overlap, and suggests concrete differentiation strategies.

Core Features & Use Cases

  • Related Work Identification: extracts 3-5 closest related works from literature review outputs, or uses WebSearch or user-provided lists to identify candidates.
  • Contribution Comparison Matrix: builds a table comparing problem setting, method, key insights, and evaluation for each related work versus the proposal.
  • Novelty Classification: assigns a category (novel method, novel application, novel analysis, scale improvement, incremental) based on the delta.
  • Venue Calibration: assesses whether the delta meets the novelty requirements of target venues.
  • Output Enforcement: ensures the pipeline proceeds only when novelty is non-NOT NOVEL and records findings in novelty-assessment.md.
  • Differentiation Suggestions: proposes concrete strategies to increase novelty when needed.

Quick Start

Provide your literature review and your proposed contribution to receive a novelty assessment.

Frequently Asked Questions about novelty-assessment

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

FAQPage Schema
How do I assess the novelty of my research against existing literature?

You can assess research novelty by extracting 3-5 closest related works from an existing literature review or manual inputs. The evaluation builds a contribution comparison matrix and assigns a novelty classification ranging from novel method to incremental.

What is a contribution comparison matrix for evaluating prior work?

A contribution comparison matrix benchmarks your proposed research against prior works by tabulating differences in problem setting, method, key insights, and evaluation. It reveals overlap and guides differentiation strategies to increase novelty.

Can I evaluate research novelty without a completed literature review?

Yes, you can evaluate research novelty without a completed literature review by using Standalone mode. This mode accepts manual inputs or uses web search to identify candidate related works, whereas Pipeline mode processes existing literature review outputs.

How do I know if my research contribution meets the novelty requirements of a target venue?

You can determine if your contribution meets target venue novelty requirements through venue calibration. This assesses the novelty delta of your work against the specific acceptance criteria of the publication venue.

What should I do if my research is classified as incremental rather than novel?

If your research is classified as incremental, you should apply the proposed differentiation strategies to increase novelty. The assessment provides concrete suggestions to elevate the contribution towards a novel method, application, or analysis category.

How is novelty classification determined from a literature comparison?

Novelty classification is determined by calculating the delta between your proposal and prior works within the contribution comparison matrix. This process assigns categories including novel method, novel application, novel analysis, scale improvement, or incremental.