Agent skill

novelty-check

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.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill novelty-check --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: WebSearchWebFetchGrepReadGlobmcp__codex__codex
Path: skills/analysis/novelty-check/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Novelty Check Skill Check whether a proposed method/idea has already been done in the literature: **$ARGUMENTS** ## Constants - REVIEWER_MODEL = `gpt-5.5` — Model used via Codex MCP. Must be an OpenAI model (e.g., `gpt-5.5`, `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 ### Phase C: Cross-Model Verification Call REVIEW

What's inside
Steps it walks through
  1. Constants
  2. Instructions
  3. Phase A: Extract Key Claims
  4. Phase B: Multi-Source Literature Search
  5. Phase C: Cross-Model Verification
  6. Phase D: Novelty Report
  7. Important Rules
  8. Review Tracing
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the novelty-check skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill novelty-check --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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