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 u7079256 · Codex Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paperjury-codex safe to install? View the security audit →
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: direc
| Stars | 55 |
| Forks | 5 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59.7827622706694/100 |
| Last Updated | 2026-06-19 |
| Created | 2026-06-04 |
| Platforms | codex, node |
| Est. Tokens | ~18k |
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paperjury-codex is Codex-first port of PaperJury, a pre-submission CS paper review and editing skill.. It is categorized as a Codex Skill with 55 GitHub stars.
paperjury-codex is primarily written in JavaScript.
You can find installation instructions and usage details in the paperjury-codex GitHub repository at github.com/u7079256/paperjury-codex. The project has 55 stars and 5 forks, indicating an active community.
paperjury-codex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paperjury-codex on Agent Skills Hub include theorist. 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: