No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Spark-To-Paper-Skills · Claude Skill · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paperjury safe to install? View the security audit →
PaperJury Due-Process Review for Bounded LaTeX Revision 正式投稿前，先让 AI reviewer 指出论文中需要解决的问题。 模型负责阅读、判断和起草；状态管理、投票规则、补丁应用与停止条件由确定性代码控制。 中文 · English 🏛️ 项目主页 · 🧭 交互式总览 ·
| Stars | 1,147 |
| Forks | 42 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.7479264214072/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-14 |
| Created | 2026-06-02 |
| Platforms | claude-code, node |
| Est. Tokens | ~17k |
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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 1.1k 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/Spark-To-Paper-Skills/paperjury. The project has 1.1k stars and 42 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 paperjury, Awesome-Journal-Skills, econ-writing-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: