novelty-check SKILL.md skillA
novelty-check from autoresearch-factory/agon is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add autoresearch-factory/agon/novelty-check@git:20260704.689b6baPins git:20260704.689b6ba in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- autoresearch-factory/agon
- Path
skills/novelty-check/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260704.689b6ba, committed Jul 4, 2026
- Size
- 2,292 bytes
- Repository stars
- 54
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
<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. …
Read the whole file at its exact version.
How to install
mdr add autoresearch-factory/agon/novelty-check@sha256:8d28a17693aa6d3fThe line at the top of this page pins the label git:20260704.689b6ba, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_kb62ag3c324fgpj6)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 4, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2292 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
autoresearch-factory/agon · 54 stars · license MIT · pushed 2026-10-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_kb62ag3c324fgpj6 GET https://markdownregistry.com/api/v1/resolve?ref=autoresearch-factory/agon/novelty-check GET https://markdownregistry.com/api/v1/blob/8d28a17693aa6d3f3ab67f2afb8307454afdc44d9879ff7f229d814cc3e67819
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from autoresearch-factory/agon
Every file in autoresearch-factory/agon