aris-novelty-check SKILL.md skillA

aris-novelty-check from jzkk720/cubecloud-skills-bundle-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jzkk720/cubecloud-skills-bundle-kit/aris-novelty-check@git:20260723.723e6c6

Pins git:20260723.723e6c6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jzkk720/cubecloud-skills-bundle-kit
Path
upstream/aris-novelty-check/SKILL.md
Versions recorded
1
Latest version
git:20260723.723e6c6, committed Jul 23, 2026
Size
3,540 bytes
Repository stars
4
License
a license file GitHub does not identify

Verify research idea novelty against recent literature. Use when user says "novelty check", "check novelty", "has anyone done this", or wants to verify a research idea is novel before implementing. Ported from wanshuiyin/Auto-claude-code-research-in-sleep (ARIS) — methodology only, Claude-Code-specific MCP deps stripped for VS Code Copilot.

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.

The user will provide the method or idea description as part of their request.

## 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 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?

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

1. **Web Search**:
   - 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 recent work (last 2 years)

2. **Known paper databases**: Check against:
   - Recent conference proceedings (ICLR, NeurIPS, ICML, ACL, CVPR, etc.)
   - Recent arXiv preprints

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

### Phase C: Self-Review Verification
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jzkk720/cubecloud-skills-bundle-kit/aris-novelty-check@sha256:439d9691504f6176

The line at the top of this page pins the label git:20260723.723e6c6, 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_zxrj26gqfx6wikqj.svg)](https://markdownregistry.com/a/art_zxrj26gqfx6wikqj)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 23, 2026.

versioncommittedcommitsizeaudit
git:20260723.723e6c6 latest2026-07-23 723e6c6 3,540 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 (3540 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

jzkk720/cubecloud-skills-bundle-kit · 4 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zxrj26gqfx6wikqj
GET https://markdownregistry.com/api/v1/resolve?ref=jzkk720/cubecloud-skills-bundle-kit/aris-novelty-check
GET https://markdownregistry.com/api/v1/blob/439d9691504f6176cbaf160debe8bfb640b853a94299af5a7067f624d9810d4f

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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