Academic Paper Audit & Review

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Audits academic manuscripts in LaTeX, Typst, and PDF formats using a reviewer-style deep analysis to identify methodological, logical, and structural issues.

The paper-audit skill serves as an AI-powered academic peer reviewer designed to evaluate research papers across various social science disciplines. It performs comprehensive audits of manuscripts in PDF, LaTeX, or Typst formats, providing structured feedback that distinguishes between script-based technical findings and LLM-driven qualitative insights. Whether you need a quick submission-readiness check, a rigorous 'gate' assessment to identify desk-reject blockers, or a simulated multi-role committee review (Editor, Theory, Literature, Methodology, Logic), this skill generates detailed revision roadmaps and issue bundles to help researchers polish their work for high-impact venues.

주요 기능

01Simulated 5-role Academic Pre-Review Committee for multi-perspective feedback
021,853 GitHub stars
03Support for LaTeX, Typst, and PDF source formats with OCR noise handling
04Multi-mode auditing including Quick-Audit, Deep-Review, Gate, and Re-Audit
05Automated script-backed technical checks for numerical and notation consistency
06Structured issue bundles with exact text anchoring and severity categorization

사용 사례

01Simulating a rigorous peer review process before submitting to a major journal
02Tracking revisions by comparing updated manuscripts against previous audit reports
03Conducting automated desk-reject screening to identify fatal flaws or 'gate' blockers