Paper Audit

This is a reviewer simulator for academic papers that gives you the kind of structured, blunt feedback you'd get from peer review before you actually submit. It works across LaTeX, Typst, and PDF, supports both English and Chinese, and runs a 16-category issue taxonomy covering everything from formula errors to overclaims to paragraph-level argument incoherence. The deep-review mode dispatches five committee agents (editor, theory, literature, methodology, logic) and separates script-backed findings from LLM judgment calls so you know what's deterministic versus interpretive. Version 4.5 added a mechanical presubmission layer that checks for AI-tone signals, citation hygiene, and abstract completeness. Use it when you want a gate check or revision roadmap, not when you need direct source editing or polishing.

skills.sh installs: 3.5K
GitHub stars: 543
last updated: Aug 21, 2026

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Install

$ npx -y skills add bahayonghang/academic-writing-skills --skill paper-audit --agent claude-code

Installs into .claude/skills of the current project.

Files

Paper Audit Skill v6.0

paper-audit is deep-review-first: behave like a serious reviewer — find technical, methodological, claim-level, and cross-section issues; keep script-backed findings separate from reviewer judgment; return a structured issue bundle plus a revision roadmap. Use it for audit and review, not as the first tool for source editing, sentence rewriting, or build fixing.

A script-backed PRESUBMISSION layer handles final-week mechanical checks (em dashes, AI-tone term frequency, abstract completeness, LaTeX citation/label/equation hygiene, paragraph-shape weak signals, concrete captions). It plugs into existing modes and is not a separate public mode; see references/PRESUBMISSION_GUIDE.md.

Requirements: .tex/.typ audit needs only the Python standard library. PDF mode needs pip install pymupdf (the enhanced extraction path also needs pymupdf4llm); both are optional and lazily imported — a .pdf input without them fails with a clear install hint.

SKILL.md on GitHub