novelty-check
Verify research idea novelty against recent literature. Use when user says \"\u67e5\u65b0\", \"novelty check\", \"\u6709\u6ca1\u6709\u4eba\u505a\u8fc7\", \"check novelty\", or wants to verify a research idea is novel before implementing.
npx skills add majiayu000/claude-skill-registry --skill novelty-check-wanshuiyin-auto-claude-code-res --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 a secondary Codex agent. Must be an OpenAI model (e.g., `gpt-5.5`, `o3`, `gpt-4o`) - **REVIEWER_BACKEND = `codex`** — Default: Codex xhigh reviewer. Use `--reviewer: oracle-pro` only when explicitly requested; if Oracle is unavailable, warn and fall back to Codex xhigh. ## 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
- Constants
- Instructions
- Phase A: Extract Key Claims
- Phase B: Multi-Source Literature Search
- Phase C: Cross-Model Verification
- Phase D: Novelty Report
- Important Rules
- Review Tracing
What does the novelty-check skill do?
Verify research idea novelty against recent literature. Use when user says \"\u67e5\u65b0\", \"novelty check\", \"\u6709\u6ca1\u6709\u4eba\u505a\u8fc7\", \"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-wanshuiyin-auto-claude-code-res --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.