A skill your agent uses when responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments, planning supplementary experiments or derivations, and…

MITAuto-check passedResearch & Science

Install Cjms Rebuttal

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-rebuttal -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cjms-rebuttal --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Chinese-Journal-of-Management-Science-Skills/skills/cjms-rebuttal .claude/skills/cjms-rebuttal && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cjms-rebuttal
GitHub stars
1.2k
Token cost
~628 tokens
SKILL.md length
94 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments, planning supplementary experiments or derivations, and…

  • Responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments
  • SKILL.md covers 触发时机, 核心:先改稿,后回复, 意见分类矩阵 and 修改说明的格式纪律, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Planning supplementary experiments

What it does

Cjms Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments, planning supplementary experiments or derivations, and drafting the point-by-point 修改说明. Works after the manuscript has actually been revised; it never fabricates changes.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Peer review. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments
  • Planning supplementary experiments
  • Drafting the point-by-point 修改说明

Example prompts

  • “/cjms-rebuttal”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cjms Rebuttal loads about 628 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 94 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~628

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 94 words, ~628 tokens.

Download SKILL.mdSave it as .claude/skills/cjms-rebuttal/SKILL.md (or your agent's skills folder).
name
cjms-rebuttal
description
Use when responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments, planning supplementary experiments or derivations, and drafting the point-by-point 修改说明. Works after the manuscript has actually been revised; it never fabricates changes.

外审意见回复(cjms-rebuttal)

触发时机

  • 收到系统返回的外审意见(通常两位专家)与编辑部修改通知
  • 意见互相冲突或部分要求超出本文范围,不知如何取舍
  • 修改说明写成"已修改,见正文",被要求重新细化

核心:先改稿,后回复

修改说明(逐条回复文档)只能记录已经发生的修改。流程固定为:意见分类 → 制定修改方案 → 完成修改 → 撰写回复。顺序颠倒会写出与正文不符的回复,二审必翻车。

意见分类矩阵

意见类型典型表述应对策略
方法质疑"算法与 XX 相比优势不明 / 为何不用现成求解器"补消融与基线对比(回 cjms-solution-algorithm),在正文新增对比表
检验不足"缺样本外 / 参数敏感性不够"补实验(回 cjms-empirical-validation / cjms-numerical-experiments),报告新增结果哪怕不利
假设挑战"假设 A2 脱离实际"三选一:给现实依据;放松后补推导;列入局限并说明结论稳健范围
定位质疑"创新性不足 / 与已有文献区别不清"重写贡献三层(回 cjms-literature-review),新增与最强近敌的逐点对照
体例问题摘要、图表、文献格式直接按 cjms-writing-style/cjms-tables-figures 修正,全改不辩
越界要求要求换整套方法或扩题礼貌说明超出本文范围,给出部分响应(如附录讨论)并陈述理由

两位专家意见冲突时:向编辑说明冲突点,选择有据的一方并给出理由,另一方给部分响应;不可两头敷衍。

修改说明的格式纪律

  • 逐条编号引用原意见(专家一意见 1、意见 2……),先原文、后回复、再定位("见修改稿第 X 节第 Y 段/表 Z,修改处已标注")。
  • 新增推导、实验放在回复中给摘要,正文/附录给全文,页码定位精确。
  • 语气:感谢具体化(谢的是哪条意见带来的哪处改进),不奉承、不认错式自贬、不阴阳。
  • 不同意处:一句立场 + 证据 + 台阶("我们理解专家的担忧,已在第 5 节补充讨论")。

时间与流程

修回按编辑部通知的期限执行,需延期提前通过系统或 zgglkx@casisd.cn 申请;修回稿与修改说明同时上传,勿只传其一。大修后常再送原审专家,回复中的每个承诺都会被复查。

自检清单

  • 每条意见都有编号回复,无合并糊弄
  • 全部修改先落实在正文,回复与正文逐字一致
  • 补充实验含不利结果的诚实报告
  • 冲突意见已向编辑说明取舍理由
  • 修改处在稿中标注(高亮或批注版)便于复查
  • 修回期限确认,材料齐全一次上传

微型走查:一条方法质疑的完整回复

虚构意见(专家一意见 2):"作者所提算法与标准列与约束生成方法相比优势不明显,建议补充对比。"

【回复】感谢专家指出对比不足的问题。我们已补充三组实验:
(1) 新增消融版 CCG-0(去除情景聚类环节的标准 CCG),在小/中/大
    三档共 18 个实例上与本文 CCG-C 对比(修改稿表 6);
(2) 结果显示:50 仓以下两者时间相当(差异不显著),200 仓实例上
    CCG-C 平均提速约 3 倍、迭代次数减少 41%(示意数字);
(3) 我们同时在正文 5.2 节新增一段,说明加速来源于聚类对第二阶段
    对偶信息的复用,并如实指出小规模实例上无优势。
上述修改见修改稿第 5.2 节(第 9–10 页,蓝色标注)与表 6。

要点拆解:补的是实验而不是辩解;报告了不利结果(小实例无优势);给了机制解释;定位到节-页-表。这四个动作合起来,比任何修辞都更能让二审通过。

与编辑部的沟通礼仪

  • 一切正式沟通走系统留痕;邮件(zgglkx@casisd.cn)用于系统故障等程序性问题。
  • 对"越界要求"(如要求改换整套方法):先完成可行部分,再向编辑说明不可行部分的理由与替代处理——直接拒绝或沉默都会被视为不配合。
  • 修回信开头一段总结"本轮共回应 X 条意见、新增 Y 组实验、正文改动 Z 处",帮编辑快速定位工作量。

反模式

  • "已按专家意见修改"无定位、无内容的空回复
  • 只在回复里论证、正文一字不动
  • 为讨好专家硬加引用其署名文献(外审匿名,猜测审稿人身份并投其所好风险极高)
  • 隐瞒补充实验中的不利结果
  • 逐条反驳全部意见,零修改——等同放弃

输出格式

【意见分类】专家一:<类型×n>;专家二:<类型×n>;冲突点:<有/无>
【修改方案】<意见→动作→正文落点> × n
【补充工作】新增实验/推导:<清单>
【回复文档】逐条格式合规:<是/否>
【下一步】修回上传;若再审意见返回,重新进入本 skill

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Chinese-Journal-of-Management-Science-Skills/skills/cjms-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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Questions about Cjms Rebuttal

What does Cjms Rebuttal do?

A skill your agent uses when responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments, planning supplementary experiments or derivations, and…. Cjms Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments, planning supplementary experiments or derivations, and drafting the point-by-point 修改说明.

When should I use Cjms Rebuttal?

Cjms Rebuttal fits situations like: responding to referee reports from 《中国管理科学》 (Chinese Journal of Management Science) — classifying comments; planning supplementary experiments; drafting the point-by-point 修改说明.

How do I install Cjms Rebuttal in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-rebuttal -a claude-code`. Or copy the skill folder (Chinese-Journal-of-Management-Science-Skills/skills/cjms-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cjms-rebuttal in your project. Claude Code loads it when a task matches its description.

How do I install Cjms Rebuttal in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-rebuttal -a codex`. Or copy the skill folder (Chinese-Journal-of-Management-Science-Skills/skills/cjms-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cjms-rebuttal in your project. Codex loads it when a task matches its description.

Can I use Cjms Rebuttal in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cjms-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cjms-rebuttal, .gemini/skills/cjms-rebuttal, .github/skills/cjms-rebuttal and .opencode/skills/cjms-rebuttal in your project.

What does Cjms Rebuttal need to run?

SKILL.md names no scripts, command-line tools or credentials: Cjms Rebuttal is instructions for the agent only.

Does Cjms Rebuttal access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cjms Rebuttal safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cjms Rebuttal use?

Cjms Rebuttal is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cjms Rebuttal use?

About 628 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cjms Rebuttal?

Skills that share tags, products or a category with Cjms Rebuttal: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cjms Rebuttal?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.