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/novelty-check

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.

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Install
$ npx -y skills add AutoResearch-Factory/Agon --skill novelty-check --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/novelty-check

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

novelty-check.SKILL.md
name: novelty-check
description: 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.

<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>

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