Stress-test research papers for unsupported claims and weak experiments.
npx skills add https://github.com/u7079256/paperjury --skill paperjury
Please help me install this Agent Skill. Skill: paperjury Source: https://github.com/u7079256/paperjury/tree/main Command: npx skills add https://github.com/u7079256/paperjury --skill paperjury
PaperJury helps researchers identify unsupported claims, weak experiments, unclear writing, and submission risks before peer review, while preventing unsafe or evidence-free revisions.
Ask PaperJury to review your paper, especially whether its experiments and claims are adequately supported.
High-intent search queries and answers about installing and using this skill.
Yes, adversarial peer review supports LaTeX, Markdown, plain-text, and one-time Word extraction. It performs structural linting and compile validation to check formatting compliance, explicitly degrading safely when optional toolchains are unavailable.
This paper review workflow requires Node.js for deterministic guards, while an optional LaTeX toolchain enables real compilation and layout checks. Manuscripts can still be processed in Markdown or plain text without the LaTeX environment.
To apply safe manuscript edits without changing research decisions, use bounded revision workflows that draft minimal LaTeX or Markdown patches. The system requires author sign-off and applies risk-proportional safety checks before validating any modifications.
Use adversarial review for a computer science manuscript before conference submission to route disputed issues through a two-sided trial. It produces invalid, fixable, or author-required verdicts to prevent unsafe or evidence-free revisions during multi-round workflows.
Without a LaTeX toolchain, automated paper review limitations include the inability to perform real compilation and layout checks. The system explicitly degrades its formatting and submission compliance screening capabilities when these optional tools are missing.
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