What problem does it solve?
You need fast, evidence-based assurance that a proposed research method is not already well-covered in recent literature, avoiding wasted months on false novelty claims.
Core Features & Use Cases
- Claim-driven novelty assessment: Breaks your idea into 3–5 core technical claims to test for novelty rather than relying on high-level descriptions.
- Multi-source literature searching: Searches across web indexes (arXiv/Scholar/Semantic Scholar style), recent venue windows (ICLR/NeurIPS/ICML 2025–2026), and fresh arXiv preprints (2024–2026).
- Cross-model reviewer synthesis: Uses a specified reviewer model via Codex MCP to compare your claims against found prior work and produce a delta.
- Closest prior work anti-hallucination protocol: Requires pre-search verification for cited “closest prior work,” surfacing
[UNVERIFIED] when resolution fails instead of fabricating citations.
Quick Start
Ask the skill to check novelty by describing your method and its experimental setting, for example: “查新:我们的方法是……,主要贡献是……,实验设置是……,请核查 2024-2026 是否已有最接近的工作以及整体新颖性评估。”