novelty-check SKILL.md skillA
novelty-check from autoconference/autoconference-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add autoconference/autoconference-skill/novelty-check@git:20260924.6751570Pins git:20260924.6751570 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- autoconference/autoconference-skill
- Path
skills/aris/novelty-check/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260924.6751570, committed Sep 24, 2026
- Size
- 4,701 bytes
- Repository stars
- 13
- License
- Apache-2.0
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-5.6-sol` — Model used via Codex MCP. Must be an OpenAI model (e.g., `gpt-5.6-sol`, `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 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 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
mdr add autoconference/autoconference-skill/novelty-check@sha256:c512579faa065c7eThe line at the top of this page pins the label git:20260924.6751570, 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_im635ph3cj7gwzeq)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 24, 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 (4701 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
autoconference/autoconference-skill · 13 stars · license Apache-2.0 · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_im635ph3cj7gwzeq GET https://markdownregistry.com/api/v1/resolve?ref=autoconference/autoconference-skill/novelty-check GET https://markdownregistry.com/api/v1/blob/c512579faa065c7e886935d64c2d7d7c810cef8e8f5f6ff5cd902d6ab90e68af
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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