A skill your agent uses when revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), especially for reviewer concerns about…

MITAuto-check passedResearch & Science

Install Jse Tju Rebuttal

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-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/Journal-of-Systems-Engineering-Skills/skills/jse-tju-rebuttal .claude/skills/jse-tju-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
jse-tju-rebuttal
GitHub stars
1.2k
Token cost
~718 tokens
SKILL.md length
105 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), especially for reviewer concerns about…

  • Works in 5 steps: 原样拆分编辑意见和每位审稿人的每一条意见。 → 标记问题类型、严重度、影响章节和所需证据。 → 在正文、附录、图表、代码或数据说明中完成修改。 → …
  • Revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering
  • SKILL.md covers 触发时机, 核心:先改正文,再写回复, 意见分类与动作 and 逐条回复结构, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jse Tju Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), especially for reviewer concerns about system boundaries, assumptions, propositions and proofs, algorithms, numerical experiments, simulation, empirical evidence, reproducibility, and requests that cannot be accepted without narrowing claims.

Its SKILL.md is about 720 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 Reproducible research and 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

  • Revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering
  • Tianjin University)
  • Especially for reviewer concerns about system boundaries
  • Propositions and proofs

Example prompts

  • “/jse-tju-rebuttal”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 原样拆分编辑意见和每位审稿人的每一条意见。
  2. 标记问题类型、严重度、影响章节和所需证据。
  3. 在正文、附录、图表、代码或数据说明中完成修改。
  4. 验证新增定理、算法、实验和引用与全文一致。
  5. 最后写逐条回复,给出动作、位置和关键结果。

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

Jse Tju Rebuttal loads about 718 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 105 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~718

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). 105 words, ~718 tokens.

Download SKILL.mdSave it as .claude/skills/jse-tju-rebuttal/SKILL.md (or your agent's skills folder).
name
jse-tju-rebuttal
description
Use when revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), especially for reviewer concerns about system boundaries, assumptions, propositions and proofs, algorithms, numerical experiments, simulation, empirical evidence, reproducibility, and requests that cannot be accepted without narrowing claims.

《系统工程学报》返修与回复(jse-tju-rebuttal)

触发时机

收到编辑或审稿意见后使用。先修改正文和证据,再写回复信;不要先写礼貌性答复再寻找最小改动。 本 skill 处理意见分类、修订动作、位置核对和证据化解释。投稿系统、文件与作者信息限制属于动态事实, 上传前仍需查 official-source-map.md。

核心:先改正文,再写回复

工作顺序固定为:

  1. 原样拆分编辑意见和每位审稿人的每一条意见。
  2. 标记问题类型、严重度、影响章节和所需证据。
  3. 在正文、附录、图表、代码或数据说明中完成修改。
  4. 验证新增定理、算法、实验和引用与全文一致。
  5. 最后写逐条回复,给出动作、位置和关键结果。

回复信不是论辩记录;可接受的回答必须能在修改稿中找到。

意见分类与动作

类型诊断典型动作
选刊/贡献系统性、增量或本刊对话不清重写问题、贡献和最接近文献比较
系统边界主体、层级、反馈、外生过程混乱补系统图、边界说明和机制映射
模型假设缺现实依据或决定结论解释作用、放松假设、加边界检验
理论结果条件、证明、稳定或比较静态有缺口重述命题、补证明/反例、收窄结论
算法伪代码、保证、基线或复杂度不足补模块、理论/诊断、公平比较
验证场景、数据、对照或指标不匹配重设主张—证据矩阵、补实验
稳健/复现参数、种子、环境、失败未报告补压力测试与复现清单
写作格式符号、图表、摘要、引用不一致全文统稿并按当前官方材料核对

将意见分为“必须改变主张/方法”“需要补证据”“需要澄清表达”“超出合理范围”四档,优先处理会改变 论文结论的前两档。

逐条回复结构

每条使用同一结构:

text
意见 [编号]:(准确引用或忠实概括)
回复:说明对问题的理解和处理结论。
修改动作:具体增加、删除、重估、重算、重写或收窄了什么。
修改位置:章节、页码/行号、图表/命题/附录编号。
关键证据:新增结果、条件、比较或边界。
正文摘录:仅引用足以定位修改的短片段。

不要只写“已按建议修改”。若未采纳,仍需给出可核查分析和替代动作。

本刊常见实质问题应对

系统性与边界

补充系统边界、主体/组件、信息/资源流和反馈。用删除测试说明系统结构如何改变模型、算法或证据, 不要只在引言增加“系统工程”措辞。

模型假设

区分现实假设与分析便利假设;给来源、数学作用和放松结果。若无法完全放松,补敏感性或反例并 收窄适用范围,避免声称假设“符合实际”而无证据。

理论与证明

逐项核对条件、量词、存在/唯一、局部/全局和边界。修复证明后重新检查依赖的推论、数值解释和 结论。审稿人指出反例时先复现,不用措辞争辩替代数学修订。

算法与实验

公平增加强基线、消融、规模梯度、时间/内存、随机重复和失败率。若额外实验因数据/算力不可行, 说明限制,提供可实施的替代对照或收窄性能主张。

实证与预测

补识别假设、依赖结构、泄漏防控、样本外切分、替代模型和群体/时间异质性。若数据只能支持关联, 把因果或政策措辞降级。

无法接受建议时

拒绝建议只在三种情况下成立:

  1. 与研究问题或模型边界不一致,采纳会变成另一篇论文。
  2. 数据、伦理、许可或客观资源不允许,且限制可证明。
  3. 建议基于可核查误解,而正文确实表达不足。

处理方式是:认可意见背后的风险 → 给模型/数据/理论证据 → 解释为何原建议不合适 → 提供替代修改 (澄清、附加分析或收窄主张)。不要以“篇幅有限”“超出本文范围”作为唯一理由。

自检清单

  • 每条意见均有编号和处理状态。
  • 回复中的页码、行号、编号与最终稿一致。
  • 新增符号、假设、引用和图表已全局同步。
  • 新实验使用与原文一致且公平的口径。
  • 删除或收窄的主张已同步摘要、引言和结论。
  • 未采纳意见有证据和替代修改。
  • 回复语气简洁、客观,不推测审稿人动机。
  • 上传文件按官方系统当次要求核验。

反模式

  • 先写回复信,正文只做措辞修改。
  • 用“感谢宝贵意见”替代动作和证据。
  • 对模型质疑只补现实故事,不检查数学作用。
  • 新增实验只选支持原结论的情景。
  • 回复中的结果、表号或页码与最终稿不一致。
  • 为迎合所有建议扩大论文边界,造成新的逻辑冲突。

本刊回复信审稿期待与扣分模式

系统工程稿件的模型、理论、算法和验证常相互依赖,局部修订可能改变整条证据链。返修应明确展示 系统边界、形式结果和验证如何同步更新。内容画像只能提示可能的审稿关注点,不代表编辑部固定意见, 也不应在回复中声称“符合本刊惯例”而无官方依据。

微型走查

text
意见:模型假设所有主体同时获得中断信息,不符合实际。
修改:引入信息延迟参数,重写决策时序与命题 2。
证据:补充延迟×容量的仿真;结论在高延迟区间反转。
位置:模型信息结构、命题 2、图 4、结论限制段。
回复:承认原假设限制,说明新模型、结果与收窄后的适用范围。

输出格式

text
【编辑意见总览】
【意见台账】编号 / 类型 / 严重度 / 动作 / 状态
【逐条回复】
【正文修改位置】
【新增理论 / 算法 / 实验证据】
【未采纳意见及证据化解释】
【全局一致性检查】
【上传前官方流程复核】
【剩余风险】

© 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 Journal-of-Systems-Engineering-Skills/skills/jse-tju-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jse Tju Rebuttal

What does Jse Tju Rebuttal do?

A skill your agent uses when revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), especially for reviewer concerns about…. Jse Tju Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), especially for reviewer concerns about system boundaries, assumptions, propositions and proofs, algorithms, numerical experiments, simulation, empirical evidence, reproducibility, and requests that cannot be accepted without narrowing claims.

When should I use Jse Tju Rebuttal?

Jse Tju Rebuttal fits situations like: revising a manuscript and preparing a point-by-point response for 《系统工程学报》 (Journal of Systems Engineering; tianjin University); especially for reviewer concerns about system boundaries; propositions and proofs.

How do I install Jse Tju Rebuttal in Claude Code?

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

How do I install Jse Tju Rebuttal in Codex?

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

Can I use Jse Tju 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 jse-tju-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/jse-tju-rebuttal, .gemini/skills/jse-tju-rebuttal, .github/skills/jse-tju-rebuttal and .opencode/skills/jse-tju-rebuttal in your project.

What does Jse Tju Rebuttal need to run?

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

Does Jse Tju 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 Jse Tju 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 Jse Tju Rebuttal use?

Jse Tju 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 Jse Tju Rebuttal use?

About 718 tokens (SKILL.md is roughly 2.9k 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 Jse Tju Rebuttal?

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Who maintains Jse Tju 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.