Verified:GitHub

novelty-analyst

Classify code modules as NOVEL, INCREMENTAL, STANDARD, or NONE with evidence mapping.

Updated Nov 25, 2025

Search Tags:#evidence #code-analysis #experimentation #publications #novelty #research-evaluation #academic-contribution

Ready to run

npx skills add https://github.com/NikhilVijayakumar/Yantra --skill novelty-analyst

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: novelty-analyst
Source: https://github.com/NikhilVijayakumar/Yantra/tree/main/.agent/skills/novelty-analyst
Command: npx skills add https://github.com/NikhilVijayakumar/Yantra --skill novelty-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and quantify novel scientific contributions in code modules to strengthen academic value.

Core Features & Use Cases

Automated novelty classification per module (NOVEL, INCREMENTAL, STANDARD, NONE) with evidence mapping.
Output generation of a novelty document per module at docs/paper/modules/{module}/novelty.md including Contribution sections and Novelty Gaps.
Comparative guidance and actionable recommendations to strengthen research value and framing.

Quick Start

Run novelty analysis on a module to generate its novelty.md documentation.

Frequently Asked Questions about novelty-analyst

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

FAQPage Schema

How do I assess the academic novelty of code modules in a research project?▼

To assess academic novelty of code modules, this Skill classifies contributions as NOVEL, INCREMENTAL, STANDARD, or NONE using evidence-backed claims to distinguish novel ideas from incremental changes across domains.

What is the best way to quantify novel scientific contributions in software libraries?▼

Quantifying novel scientific contributions requires analyzing code modules against related work to generate explicit differentiation and evidence mapping, strengthening the academic value of software research projects.

How do I generate novelty documentation for my research codebase?▼

Generating novelty documentation involves running an automated analysis that outputs a per-module novelty.md file at docs/paper/modules/{module}/novelty.md, including detailed Contribution sections and identified Novelty Gaps.

Does novelty analysis require specific formatting to evaluate academic contribution?▼

Yes, novelty analysis requires a frontmatter with name and description, a per-module novelty.md document, evidence-backed claims, and explicit differentiation from related work to properly evaluate academic contribution.

Can I use this to strengthen the research value and framing of my software project?▼

Yes, you can strengthen research value and framing by using the comparative guidance and actionable recommendations generated during the novelty evaluation to better position your software's scientific contributions.