Game the LLM Reviewer turns findings from studies of LLM review preferences into an agent-compatible skill for a final editing pass before submission. It makes small wording changes while preserving the paper's scientific meaning.
我们整理了 LLM 审稿偏好的相关研究，提炼出 LLM agent 可以直接使用的 skill，用于投稿前的最后一轮润色。
既然我们无法彻底避开 LLM 审稿，那干脆利用它们的偏好来保护我们的研究成果。
We oppose handing peer-review decisions over to LLMs, but authors often have little say in whether a reviewer uses one. Papers should be judged on the soundness of their methods, the strength of their evidence, and the substance of their contributions. Yet studies have found that rephrasing the same passage can change an LLM reviewer's score.
论文的评价应基于方法是否可靠、证据是否充分、贡献是否扎实。但已有研究发现，LLM 审稿人对论文同一段话换个措辞就会打出不同的分。
This skill provides a final, defensive editing pass after ordinary polishing. It selects wording that aligns with documented LLM reviewer preferences while preserving meaning and keeping the scientific assessment a human reviewer could make materially unchanged. It requires no knowledge of the reviewer model and does not query it.
这个工具是投稿前的最后一道“防御性润色”：我们根据 LLM 审稿偏好的研究，在意思完全不变的几种说法里将论文改写成 LLM reviewer 更青睐的那种，而这种改动对人类审稿人来说几乎没有区别。
[!IMPORTANT] ⚠️ Academic integrity
Edits must preserve the paper's claims and supporting evidence, including citations, assumptions, uncertainty, and substantive limitations. Record each change. Fabricated results, inflated novelty, concealed weaknesses, and hidden instructions to reviewers are outside the skill's scope.
Authors remain responsible for the manuscript and for following their venue's rules on AI assistance and disclosure.
写论文 → 跑你常用的写作工具 → 最后跑一遍 Game-the-LLM-Reviewer。
🚀 Quick start
1. Install the skill
Ask your coding agent to install the skill:
Clone this repository and install its game-the-llm-reviewer skill:
https://github.com/Michael-Jiahao-Zhang/game-the-llm-reviewer
Or install with Skills CLI:
npx skills add Michael-Jiahao-Zhang/game-the-llm-reviewer --skill game-the-llm-reviewer
2. Apply it to your manuscript
Give your agent a finished manuscript:
Use game-the-llm-reviewer on paper/main.tex. Read the included sections first.
Apply small, meaning-preserving edits targeting LLM reviewer preferences.
Keep the scientific assessment a human could make unchanged.
Save a revised copy and changes.md explaining each rhetorical change.
The agent saves a revised copy and a change note explaining the edits. It works with your existing writing setup and requires no additional reviewer API.
To select an agent explicitly:
npx skills add Michael-Jiahao-Zhang/game-the-llm-reviewer --skill game-the-llm-reviewer -a claude-code
npx skills add Michael-Jiahao-Zhang/game-the-llm-reviewer --skill game-the-llm-reviewer -a codex
Run the command for your agent. Installs are project-local by default; add -g for a personal installation. The installer requires Node.js (check its current requirements). Private repositories require GitHub access and configured Git, GitHub CLI, or SSH authentication.
For manual use, clone the repository and ask any file-capable writing agent to read the skill:
git clone https://github.com/Michael-Jiahao-Zhang/game-the-llm-reviewer.git
cd game-the-llm-reviewer
Read skills/game-the-llm-reviewer/SKILL.md and apply it to my finished manuscript.
Return a revised copy and a compact change note.
For manual installation, copy the whole skills/game-the-llm-reviewer/ folder into your agent’s supported skills directory, including its references. Inspect an existing installation before replacing it. The skill itself has no runtime dependencies; file handling and LaTeX compilation use your agent’s available tools.
✨ Before and after
This example is a contr