Mmcp.market

novelty-check skill

by wanshuiyin·wanshuiyin/Auto-claude-code-research-in-sleep·17k stars·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.

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Is the novelty-check skill safe?

Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.

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Install the novelty-check skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep
mkdir -p ~/.claude/skills
cp -r /tmp/Auto-claude-code-research-in-sleep/skills/novelty-check ~/.claude/skills/novelty-check
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

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
  1. Known paper databases: Check against:
  • ICLR 2025/2026, NeurIPS 2025, ICML 2025/2026
  • Recent arXiv preprints (2025-2026)
  1. Read abstracts: For each potentially overlapping paper, WebFetch its abstract and related work section

Phase C: Cross-Model Verification

Call REVIEWERMODEL via Codex MCP (mcpcodexcodex) with xhigh reasoning. When the method description plus the Phase-B paper list is more than a short note, avoid pasting it inline into the MCP prompt. Write a dossier file such as NOVELTYDOSSIER.md (or a project-local equivalent) containing the method description, core claims, candidate papers, and the exact questions below, then send only the file path:

mcp__codex__codex:
  model: gpt-6-astra
  config: {"model_reasoning_effort": "xhigh"}
  prompt: |
    Read the novelty dossier at <absolute path to NOVELTY_DOSSIER.md> and
    follow all instructions in it.

Dossier contents should include:

  • The proposed method description
  • All papers found in Phase B
  • Ask: "Is this method novel? What is the closest prior work? What is the delta?"
  • The NOVELTY VERDICT LIMITS block below, verbatim — the reviewer judges under it

The verdict limits

Copy this block verbatim into the reviewer's briefing; the report in Phase D is judged under it too.

=== NOVELTY VERDICT LIMITS (these bound how you judge, never how widely you search) ===
Search exhaustively; judge calibrated. Two failures waste months equally:
passing an idea a published paper already contains, and killing a viable idea
because the territory has neighbors.
1. Proximity is information, not a verdict. Someone working nearby goes in the
   report; it is not by itself a reason to reject.
2. ABANDON has exactly one qualification: a specific published paper already
   contains this result — name that paper. No named paper, no ABANDON.
3. Crowded-but-deltaed is PROCEED: state the delta in one sentence a reviewer
   could verify. Thin or contested delta is PROCEED WITH CAUTION — say what
   would make it carry, not why it should die. CAUTION is not a safe middle:
   if you cannot name the specific thing that makes the delta thin, the
   verdict is PROCEED.
4. Concurrent or competing work is not a veto. That is a race — report it and
   let the user decide whether to run it.
5. A direct attack on a central problem is legitimate novelty when nobody has
   executed it well. "This area is hot" does not mean "this area is taken."
6. This check is an early gate, never the las

Phase D: Novelty Report

Output a structured report:

## Novelty Check Report

### Proposed Method
[1-2 sentence description]

### Core Claims
1. [Claim 1] — Closest: [paper] — What stays unknown or different: [delta]
2. [Claim 2] — Closest: [paper] — What stays unknown or different: [delta]
...

### Closest Prior Work
| Paper | Year | Venue | Overlap | Key Difference |
|-------|------|-------|---------|----------------|

### Overall Novelty Assessment
- Score: X/10 (anchor: 5/10 = has clear neighbors but a defensible delta worth
  a pilot; reserve 1-3 for results a named published paper already contains)
- Recommendation: PROCEED / PROCEED WITH CAUTION / ABANDON (per the verdict
  limits: crowded-but-deltaed ground is PROCEED; ABANDON must name the paper)
- Key differentiator: [what makes this unique, if anything]
- Risk: [what a reviewer would cite as prior work]

### Suggested Positioning
[State the delta honestly in one sentence a reviewer could verify]

Important Rules

abandoned because the territory has neighbors. Be brutally honest in both directions — and when an idea clears the check, say so plainly.

  • Two failures waste months equally: a false novelty claim, and a viable idea

individual claim rates LOW — judge the idea, not each claim in isolation. Known parts arranged to reveal something unknown are novel.

  • Novelty can live in the combination or the finding even when every

non-obvious interaction, failure mode, or insight. Judge the revelation, not the template.

  • "Applying X to Y" earns novelty by what the application reveals — a
  • Check both the method AND the experimental setting for novelty
  • If the method is not novel but the FINDING would be, say so explicitly
  • Always check the most recent 6 months of arXiv — the field moves fast
  • Anti-hallucination for Closest Prior Work. Every paper in the prior-work table must pass pre-search verification via verifypapers.py (canonical name resolved per shared-references/integration-contract.md §2; 3-layer arXiv / CrossRef / Semantic Scholar fallback inside the helper itself). Policy D1 (primary + degraded-output fallback): if the helper is unresolved or** its invocation fails, tag candidate entries [UNVERIFIED] and surface the uncertainty rather than dropping them. Never fabricate arXiv IDs, DOIs, or titles from memory. Full protocol in shared-references/citation-discipline.md § Pre-Search Verification Protocol.

Review Tracing

After each mcpcodexcodex or mcpcodexcodex-reply reviewer call, save the trace following shared-references/review-tracing.md (Policy C — forensic; never silently skip). Use savetrace.sh (resolved per the chain in shared-references/integration-contract.md §2) or write files directly to .aris/traces//run/. Respect the --- trace: parameter (default: full).

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