Agent skill

Review Rebuttal

by chtc66 in chtc66/academic-skills

analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern…

MITAuto-check passed

Install Review Rebuttal

skills CLI
$ npx skills add chtc66/academic-skills --skill review-rebuttal -a claude-code

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

GitHub CLI
$ gh skill install chtc66/academic-skills review-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/chtc66/academic-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/review-rebuttal .claude/skills/review-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
review-rebuttal
GitHub stars
360
Token cost
~328 tokens
SKILL.md length
82 words
Files
5 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern…

  • Works in 4 steps: 逐个 reviewer 拆分意见,再汇总跨 reviewer 的共性… → 参考 references/review_taxonomy.md 给… → 参考 references/tone_guidelines.md… → …
  • SKILL.md covers 工作流, 输入处理规则, 输出规则 and 证据与表述约束, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Rebuttal is an agent skill from chtc66/academic-skills. analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern classification, response strategy, risk warnings, or a rebuttal draft without inventing evidence.

Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/rebuttal_template.md` and `references/review_taxonomy.md`).

The repository describes itself as: Academic workflow skills for paper reading, survey writing, experiment summarization, rebuttal drafting, and weekly lab updates. The licence is MIT.

Example prompts

  • “/review-rebuttal”

Workflow steps

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

  1. 逐个 reviewer 拆分意见,再汇总跨 reviewer 的共性 concern。
  2. 参考 references/review_taxonomy.md 给 concern 分类。
  3. 参考 references/tone_guidelines.md 约束语气和风险表达。
  4. 参考 references/rebuttal_template.md 生成回复框架和草稿。

What it can do on your machine

Read from SKILL.md and the folder at commit 126e235. 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

Review Rebuttal loads about 328 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 82 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~328
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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 chtc66/academic-skills at commit 126e235, republished under its MIT licence (© chtc66). 82 words, ~328 tokens.

Download SKILL.mdSave it as .claude/skills/review-rebuttal/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
review-rebuttal
description
analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern classification, response strategy, risk warnings, or a rebuttal draft without inventing evidence.

Review Rebuttal

用这个 skill 处理投稿后的 reviewer comments、meta-review 和 rebuttal 草稿。重点是拆 concerns、区分补实验与澄清项、组织回复策略,并保持专业克制的语气。

工作流

  1. 逐个 reviewer 拆分意见,再汇总跨 reviewer 的共性 concern。
  2. 参考 references/review_taxonomy.md 给 concern 分类。
  3. 参考 references/tone_guidelines.md 约束语气和风险表达。
  4. 参考 references/rebuttal_template.md 生成回复框架和草稿。

输入处理规则

  • 接收 review 全文、meta-review、论文摘要、补充实验现状、作者说明。
  • 如果用户只给摘要和 review,不要假装知道论文正文细节。
  • 如果用户说“我们还没做这个实验”,在草稿中写成计划或澄清,不要写成已有结果。
  • 支持多个 reviewer 合并分析,但要保留 reviewer 之间的差异。

输出规则

  • 默认输出以下部分:
    • 审稿意见拆分
    • concern 分类
    • 必须补实验的点
    • 更适合澄清的点
    • 回复策略
    • rebuttal 草稿
    • 高风险表述提醒
  • 如果 reviewer 之间有冲突,单独指出,不要强行统一。
  • 如果 meta-review 明确压住了某些意见,优先围绕 meta-review 组织总体策略。

证据与表述约束

  • 不得编造实验、额外消融或人工分析结果。
  • 不得假装已经补完实验。
  • 不得使用对抗性或情绪化表述。
  • 不要把 reviewer 的误解简单归咎于 reviewer 能力不足,应改写为“论文表述仍可更清楚地说明……”。

何时读引用文件

  • 始终读取 references/rebuttal_template.md。
  • 在 concern 分类时读取 references/review_taxonomy.md。
  • 在起草回复时读取 references/tone_guidelines.md。

© chtc66, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in review-rebuttal of chtc66/academic-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/rebuttal_template.md
  • references/review_taxonomy.md
  • references/tone_guidelines.md

Open the folder on GitHubat commit 126e235

Compare with similar skills

Review Rebuttal next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Rebuttal this skillchtc66/academic-skills360—~328Automated safety check: PassMIT
Search Inputthedaviddias/Front-End-Checklist74k—~402Automated safety check: PassMIT
Input Typesthedaviddias/Front-End-Checklist74k—~487Automated safety check: PassMIT
Paste Inputsthedaviddias/Front-End-Checklist74k—~443Automated safety check: PassMIT
Rebuttalbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.5kAutomated safety check: PassCustom licence
Od Next Media Inputsnexu-io/open-design100k—~1.1kAutomated safety check: PassApache-2.0

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Questions about Review Rebuttal

What does Review Rebuttal do?

analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern…. Review Rebuttal is an agent skill from chtc66/academic-skills. analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern classification, response strategy, risk warnings, or a rebuttal draft without inventing evidence.

How do I install Review Rebuttal in Claude Code?

Run `npx skills add chtc66/academic-skills --skill review-rebuttal -a claude-code`. Or copy the skill folder (review-rebuttal in chtc66/academic-skills) into .claude/skills/review-rebuttal in your project. Claude Code loads it when a task matches its description.

How do I install Review Rebuttal in Codex?

Run `npx skills add chtc66/academic-skills --skill review-rebuttal -a codex`. Or copy the skill folder (review-rebuttal in chtc66/academic-skills) into .agents/skills/review-rebuttal in your project. Codex loads it when a task matches its description.

Can I use Review 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 chtc66/academic-skills --skill review-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/review-rebuttal, .gemini/skills/review-rebuttal, .github/skills/review-rebuttal and .opencode/skills/review-rebuttal in your project.

What does Review Rebuttal need to run?

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

Does Review 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 Review 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 Review Rebuttal use?

Review 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 Review Rebuttal use?

About 328 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 783 tokens, read only when the agent opens those files.

What are the alternatives to Review Rebuttal?

Skills that share tags, products or a category with Review Rebuttal: Search Input (thedaviddias/Front-End-Checklist, 74k stars), Input Types (thedaviddias/Front-End-Checklist, 74k stars), Paste Inputs (thedaviddias/Front-End-Checklist, 74k stars) and Rebuttal (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Rebuttal?

chtc66 (a GitHub user) maintains it in chtc66/academic-skills, which has 360 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on April 5, 2026.

Source: chtc66/academic-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.