novelty-check

Extract core technical claims and verify novelty against 2024–2026 literature.

Updated May 25, 2026
One-click install
npx skills add https://github.com/duypham2801/ThS_LLM --skill novelty-check-duypham2801
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: novelty-check
Source: https://github.com/duypham2801/ThS_LLM/tree/main/.claude/skills/novelty-check
Command: npx skills add https://github.com/duypham2801/ThS_LLM --skill novelty-check-duypham2801

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

You need fast, evidence-based assurance that a proposed research method is not already well-covered in recent literature, avoiding wasted months on false novelty claims.

Core Features & Use Cases

  • Claim-driven novelty assessment: Breaks your idea into 3–5 core technical claims to test for novelty rather than relying on high-level descriptions.
  • Multi-source literature searching: Searches across web indexes (arXiv/Scholar/Semantic Scholar style), recent venue windows (ICLR/NeurIPS/ICML 2025–2026), and fresh arXiv preprints (2024–2026).
  • Cross-model reviewer synthesis: Uses a specified reviewer model via Codex MCP to compare your claims against found prior work and produce a delta.
  • Closest prior work anti-hallucination protocol: Requires pre-search verification for cited “closest prior work,” surfacing [UNVERIFIED] when resolution fails instead of fabricating citations.

Quick Start

Ask the skill to check novelty by describing your method and its experimental setting, for example: “查新:我们的方法是……,主要贡献是……,实验设置是……,请核查 2024-2026 是否已有最接近的工作以及整体新颖性评估。”

Frequently Asked Questions about novelty-check

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

FAQPage Schema
How do I verify if my research method is novel against recent literature?

To verify research method novelty, you can assess your proposed method by breaking it down into core technical claims and checking them against multi-source literature from 2024 to 2026. This process extracts 3 to 5 core technical claims and searches recent venues to ensure your contribution has not been previously established.

How does claim extraction work for research novelty assessment?

Claim extraction for research novelty assessment works by breaking your proposed method into 3 to 5 core technical claims rather than relying on high-level descriptions. This ensures the novelty verification tests specific technical contributions and experimental settings against existing literature.

Can I check my method's novelty against specific arXiv preprints and 2025 venues?

Yes, you can check your method's novelty against specific sources by running multi-query searches across web indexes, recent venue windows like ICLR and NeurIPS 2025 to 2026, and fresh arXiv preprints from 2024 to 2026 to find closest prior work.

What is the best way to avoid citation hallucination during a literature review?

The best way to avoid citation hallucination during a literature review is to use a closest prior work anti-hallucination protocol. This requires pre-search verification for cited works and surfaces an unverified tag when resolution fails instead of fabricating citations.

How to synthesize a novelty report comparing a new method to prior work?

To synthesize a novelty report, a cross-model reviewer compares your extracted technical claims against found prior work and produces a structured delta. This structured novelty report details the exact differences between your contribution and existing literature.

What should I provide to start checking if my experimental setting is novel?

To start checking if your experimental setting is novel, you should provide a description of your method, its main contributions, and the experimental setting. This allows the assessment to extract technical claims and verify them against recent multi-source literature.