research-novelty-audit
CommunityEvaluate AI idea novelty with reviewer critique.
AuthorOcean326
Version1.0.0
Installs0
System Documentation
What problem does it solve?
评估 AI、深度学习和序列表征学习 idea 或 draft 的新颖性与竞争定位。当 Codex 需要对比 prior work、压力测试贡献主张、提前暴露 reviewer 质疑,或判断一个想法是否值得继续做实验时使用。
Core Features & Use Cases
- 用于系统地拆分新颖性要素:objective、architecture、data or augmentation、training recipe、evaluation setting。
- 对每个部分评估它是“真正新”、“旧元素重组”、“调参优化”还是“当前任务设定下才算新”,并输出最终结论。
- 针对 AI 工作,重点关注缺少强基线、基准 cherry-pick、算力变化对新颖性的影响、以及新颖性是否主要来自规模化等问题。
- 输出包括:最强的 prior-work 冲突点、以 reviewer 风格提出的质疑,以及最小且有效的增强改动。
- 输出格式便于后续进入 paper-production-pipeline 或实验设计阶段。
Quick Start
Submit a concise description of your AI idea and any cited prior work, and run this skill to generate a formal novelty audit.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: research-novelty-audit Download link: https://github.com/Ocean326/Agents/archive/main.zip#research-novelty-audit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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