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Stress-test your research paper with an AI reviewer before submission.
paperjury is an open-source dev tools project by Spark-To-Paper-Skills (Spark-To-Paper-Skills/paperjury on GitHub). It has 1,215 GitHub stars and 44 forks, is released under the MIT license, and was last updated on GitHub on 14 August 2026.
Install the paperjury skill into Claude Code.
Point it at your manuscript before submission.
The skill critiques the paper and renders a verdict.
Apply fixes, then let it verify the improvements.
A critical read of your draft before reviewers see it.
An explicit accept-or-revise style judgment.
Helps you fix what the review flagged.
Checks that revisions actually addressed the issues.
Runs inside the assistant you already use.
Brutal honesty without an audience.
Download the source and move into the project folder.
git clone https://github.com/Spark-To-Paper-Skills/paperjury.git
cd paperjuryEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command โ Docker, pip, npm, or a binary release.
# see README for the exact launch commandMIT licensed โ free for academic and commercial use with attribution.
No โ it is a rehearsal that catches obvious weaknesses before human reviewers.
It is built for research papers generally; domain fit depends on your draft.
Yes โ it ships as a Claude Code skill.
Check the README for supported manuscript formats.
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