novelty-check SKILL.md skillA

novelty-check from wanshuiyin/auto-claude-code-research-in-sleep is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add wanshuiyin/auto-claude-code-research-in-sleep/novelty-check@git:20260906.0472e53

Pins git:20260906.0472e53 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
wanshuiyin/auto-claude-code-research-in-sleep
Path
skills/novelty-check/SKILL.md
Versions recorded
5
Latest version
git:20260906.0472e53, committed Sep 6, 2026
First version recorded
Jul 10, 2026
Size
7,205 bytes
Repository stars
17,793
License
MIT

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

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 Skill

Check whether a proposed method/idea has already been done in the literature: **$ARGUMENTS**

## Constants

- REVIEWER_MODEL = `gpt-6-astra` — Model used via Codex MCP. Must be an OpenAI model (e.g., `gpt-6-astra`, `o3`, `gpt-4o`)

## Instructions

Given a method description, systematically verify its novelty:

### Phase A: Extract Key Claims
1. Read the user's method description
2. Identify 3-5 core technical claims that carry the claimed delta:
   - What is the method?
   - What problem does it solve?
   - What is the mechanism?
   - What makes it different from obvious baselines?

### Phase B: Multi-Source Literature Search
For EACH core claim, search using ALL available sources:

1. **Web Search** (via `WebSearch`):
   - Search arXiv, Google Scholar, Semantic Scholar
   - Use specific technical terms from the claim
   - Try at least 3 different query formulations per claim
   - Include year filters for 2024-2026

2. **Known paper databases**: Check against:
   - ICLR 2025/2026, NeurIPS 2025, ICML 2025/2026
   - Recent arXiv preprints (2025-2026)

3. **Read abstracts**: For each potentially overlapping paper, WebFetch its abstract and related work section
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wanshuiyin/auto-claude-code-research-in-sleep/novelty-check@sha256:7738e665e8a7ad35

The line at the top of this page pins the label git:20260906.0472e53, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uemtzd56y6zjf762.svg)](https://markdownregistry.com/a/art_uemtzd56y6zjf762)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jul 10, 2026 and Sep 6, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
git:20260906.0472e53 latest2026-09-06 0472e53 7,205 BA view · diff
git:20260826.014c16e2026-08-26 014c16e 7,205 BA view · diff
git:20260826.78ad58d2026-08-26 78ad58d 6,501 BA view · diff
git:20260713.e67ae162026-07-13 e67ae16 4,701 BA view · diff
git:20260710.61427152026-07-10 6142715 4,699 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7205 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

GitHub

wanshuiyin/auto-claude-code-research-in-sleep · 17,793 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uemtzd56y6zjf762
GET https://markdownregistry.com/api/v1/resolve?ref=wanshuiyin/auto-claude-code-research-in-sleep/novelty-check
GET https://markdownregistry.com/api/v1/blob/7738e665e8a7ad358e016ea3fcfa0f994e1f064f3626fe2fa454217a2750f3a0

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.

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