Paperjury

Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML). DIRECT-EDIT mode (common): the user describes a change in Chinese or English and the manuscript (LaTeX or Markdown) is edited directly through a CS-venue writing toolkit with author sign-off (use for 改这段 / 把中文想法写成 latex / polish / de-AI / translate / compress a passage). REVIEW mode (occasional, pre-submission): harden the paper through an adversarial courtroom review engine (N holistic domain reviewers / contestability routing / two-sided trial / three-way verdict / clerk-converged mu

1,213 stars 44 forksResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add Spark-To-Paper-Skills/paperjury --skill paperjury

Manual install

git clone --depth 1 https://github.com/Spark-To-Paper-Skills/paperjury.git /tmp/paperjury
mkdir -p ~/.claude/skills
cp -r /tmp/paperjury/. ~/.claude/skills/paperjury

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# PaperJury (CS-conference paper review and editing)

PaperJury edits and hardens any CS-conference paper. It runs in
three modes. In **direct-edit mode** (the common case) the user describes a change
in Chinese or English and the LaTeX is edited directly through a CS-venue writing
toolkit, with author sign-off. In **review mode** (occasional, pre-submission) it
exposes the manuscript to a harsh, multi-perspective courtroom review engine that
adjudicates each issue (N holistic domain reviewers -> contestability routing ->
two-sided trial -> three-way verdict, with a polish track and a clerk-converged
multi-round loop), gates every change behind consensus, and tracks issues in a durable
ledger. In **auto mode** (unattended, opt-in via `/goal`) it runs that same engine
toward a verifiable goal, applying safe fixes under a drift-bounded policy and
queueing the risky ones for one human pass on return. All modes share the same
writing toolkit, hard rules, ledger, and author sign-off (auto via up-front policy
sign-off plus the queue, see hard rule 1).

This skill is **fully generic**. It ships no hardcoded paths, no project files,
and no embedded paper. Everything specific to a given paper (where the
manuscript is, the venue, who signs off, the house style) is resolved at runtime
or supplied by a config the *project* owns. The skill itself is the backbone;
any concrete paper is just an instantiation of it.

Read the full skill on GitHub

Details

Skill name: paperjury
Repository: Spark-To-Paper-Skills/paperjury
License: MIT
Repo updated: 14 August 2026

FAQ

What does the Paperjury skill do?

How do I install the Paperjury skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add Spark-To-Paper-Skills/paperjury --skill paperjury. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Paperjury popular?

It lives in Spark-To-Paper-Skills/paperjury, which has 1,213 GitHub stars and 44 forks.

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