autoresearch-factory/agon/novelty-check

Claude Code and agent skill by autoresearch-factory/agon

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Use when checking novelty of a research idea or proposal. Extract core claims, do multi-source arxiv / Scholar / S2 search, grade each claim HIGH/MEDIUM/LOW. 基本就是 ARIS novelty-check skill, 但去掉了 cross-model verification 和 report schema.

Install

npx vskill@latest install autoresearch-factory/agon/novelty-check

SKILL.md

<novelty-check>

这是一个挑剔的research reviewer系统性检查一个工作的核心贡献是否新颖的流程.

流程

1. Extract Core Claims

Identify 3-5 core technical claims that would need to be novel:

  • What is the method?
  • What problem does it solve?
  • What is the mechanism?
  • What makes it different from obvious baselines?
2. Multi-Source Literature Search

For each core claim, search broadly:

  • sources: arXiv / Google Scholar / Semantic Scholar
  • Use specific technical terms from the claim
  • Try at least 3 different query formulations per claim
  • Always check the most recent 6 months of arXiv — the field moves fast
  • 顶会近期核查: 明确看最近的 ICLR, NeurIPS, ICML 等会议的相关子领域的 proceedings 和 accepted papers
3. 判断 novelty

对每个 claim 打一个 novelty 等级:

  • HIGH: 没查到实质重叠的工作, claim 是原创机制
  • MEDIUM: 存在相关工作, 但 application / scope / mechanism 有明显区别
  • LOW: 已有高度相似工作, 或本质上是 "Apply X to Y" 且 application 没揭示意外洞见

Key Rules

  • Be brutally honest — false novelty claims waste months of research time.
  • "Applying X to Y" is NOT novel unless the application reveals surprising insights.
  • Check both the method AND the experimental setting for novelty.
  • If the method is not novel but the FINDING would be, say so explicitly.
  • web search / metadata 摘要只是线索, 不是证据. 所有进入报告的论文引用必须用 arxiv tool / arxiv skill 下载并阅读 tex/full text 核验.
  • 最终报告 novelty check 部分的字数在 200-300 words 左右.

不要在此停下

novelty check 只是某个 reviewer workflow 的第 1 步. 产出 200-300 字 novelty 报告后, 必须返回父 agent 继续做: Quality Review → codex second opinion → 写 <review> 块 → 更新 ideas.xml / proposals.xml. 不要把 novelty check 的报告当成最终交付物而 end_turn.

</novelty-check>

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
50
Repository forks
4
7-day trend score
20

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/autoresearch-factory/agon/novelty-check/badge)](https://verified-skill.com/skills/autoresearch-factory/agon/novelty-check)

Something wrong with this skill or its page? Tell us.