by u7079256 · Claude Skill · ★ 516
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English · 中文 PaperJury A pre-submission AI review stress-test for research papers. Before a reviewer tears it apart, let a jury do it first. PaperJury turns paper feedback into a closed loop: review → verdict → revise → verify. Instead of taking every AI suggestion at face value, it sorts each issue into one of three outcomes: Fixable: safe, text-level issues that can be patched automatically. Author-required: missing experiments, missing evidence, or research decisions that stay with you. Invalid: reviewer misreadings or unsupported critiques that should not be applied. It offers three modes: direct-edit, review, and auto. PaperJury is built for pre-submission self-checking. It does not replace peer review, it does not invent missing experiments, and it keeps res
| Stars | 516 |
| Forks | 36 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.9354890112286/100 |
| Last Updated | 2026-06-30 |
| Created | 2026-06-02 |
| Platforms | claude-code, node |
| Est. Tokens | ~18k |
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paperjury is Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.. It is categorized as a Claude Skill with 516 GitHub stars.
paperjury is primarily written in JavaScript. It covers topics such as academic-writing, ai-agents, claude-code.
You can find installation instructions and usage details in the paperjury GitHub repository at github.com/u7079256/paperjury. The project has 516 stars and 36 forks, indicating an active community.
paperjury is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paperjury on Agent Skills Hub include Awesome-Journal-Skills, agent-skills, claude-prism. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.