Agent skill

Review Response

A skill your agent uses when the user receives peer review comments and wants a rebuttal, response letter, point-by-point reply, or evidence-backed revision response.

MITAuto-check passedResearch & Science

Install Review Response

skills CLI

$ npx skills add ZimoLiao/scholaraio --skill review-response -a claude-code

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

GitHub CLI

$ gh skill install ZimoLiao/scholaraio review-response --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/ZimoLiao/scholaraio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/review-response .claude/skills/review-response && 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/

Paste into Claude Code

Install the "review-response" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response into .claude/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-response", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ZimoLiao/scholaraio --skill review-response -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ZimoLiao/scholaraio review-response --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/review-response .agents/skills/review-response && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "review-response" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response into .agents/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-response", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ZimoLiao/scholaraio --skill review-response -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ZimoLiao/scholaraio review-response --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/review-response .cursor/skills/review-response && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "review-response" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response into .cursor/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-response", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ZimoLiao/scholaraio.git --path .claude/skills/review-response

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ZimoLiao/scholaraio --skill review-response -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ZimoLiao/scholaraio review-response --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/review-response .gemini/skills/review-response && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "review-response" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response into .gemini/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-response", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ZimoLiao/scholaraio review-response

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ZimoLiao/scholaraio --skill review-response -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/review-response .github/skills/review-response && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "review-response" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response into .github/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-response", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ZimoLiao/scholaraio --skill review-response -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ZimoLiao/scholaraio review-response --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/review-response .opencode/skills/review-response && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "review-response" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/review-response into .opencode/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-response", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: review-response
GitHub stars: 577
Token cost: ~514 tokens
SKILL.md length: 88 words
Files: 1
Skills in repo: 43
Repo updated: Sep 25, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when the user receives peer review comments and wants a rebuttal, response letter, point-by-point reply, or evidence-backed revision response.

Works in 4 steps: 解析审稿意见 → 逐条分析 → 撰写回复 → …
The user receives peer review comments and wants a rebuttal
SKILL.md covers 前提, 执行逻辑, 写作原则 and 示例
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Response is an agent skill from ZimoLiao/scholaraio. Use when the user receives peer review comments and wants a rebuttal, response letter, point-by-point reply, or evidence-backed revision response.

Its SKILL.md is about 510 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: Scholar All-In-One: A research infrastructure for AI agents. The licence is MIT.

When your agent uses it

The user receives peer review comments and wants a rebuttal
Response letter
Point-by-point reply
Evidence-backed revision response

Example prompts

“/review-response”

Requirements

Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

解析审稿意见
逐条分析
撰写回复
输出

What it can do on your machine

Read from SKILL.md and the folder at commit 777628b. 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 (its code samples are bash).
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 Response loads about 514 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 88 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~41
When it runs · the whole SKILL.md, loaded when a task matches: ~514

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 ZimoLiao/scholaraio at commit 777628b, republished under its MIT licence (© ZimoLiao). 88 words, ~514 tokens.

Download SKILL.mdSave it as .claude/skills/review-response/SKILL.md (or your agent's skills folder).

name: review-response
description: Use when the user receives peer review comments and wants a rebuttal, response letter, point-by-point reply, or evidence-backed revision response.

审稿回复

逐条回复审稿人意见，从工作区文献和原稿中定位支撑证据。

前提

用户需提供：

审稿意见：粘贴或文件路径
原稿：workspace 中的论文草稿或文件路径
workspace：关联的文献工作区（用于检索支撑证据）
语言：中文 / English（回复信通常与原稿语言一致）

执行逻辑

1. 解析审稿意见

将审稿意见拆分为独立的 comment，分类标注：

MAJOR：需要实质性修改（补实验、改方法、加分析）
MINOR：表述修改、格式调整、补充说明
POSITIVE：正面评价（致谢即可）
QUESTION：需要回答的问题

2. 逐条分析

对每条意见：

理解审稿人的核心诉求
在原稿中定位相关段落
用 scholaraio show 查看论文（已有 notes.md 笔记会自动展示），复用已有发现

在工作区文献中搜索支撑证据：

bash

scholaraio ws search <name> "<审稿人关注的关键词>"
scholaraio show <paper-id> --layer 3      # 读结论找证据
scholaraio show <paper-id> --layer 4      # 必要时读全文

从引用图谱中找额外支撑：

bash

scholaraio refs "<id>"                    # 相关论文的参考文献
scholaraio usearch "<补充关键词>"          # 全库搜索（工作区外）

3. 撰写回复

每条回复的结构：

> **Reviewer X, Comment N:** [原文引用]

**Response:** [回复正文]

[如有修改] **Revision:** We have revised Section X.X as follows: "..." (Page X, Line X)

回复策略：

同意并修改：明确说明做了什么修改、在哪里
部分同意：承认合理之处，解释为什么不完全采纳，提供证据
礼貌反驳：用数据和文献支撑，语气尊重但立场坚定
补充实验/分析：描述新增的内容和结果

多模态辅助：

审稿人质疑图表时，读取论文中的原始图（images/）重新分析
审稿人质疑数值时，编写 Python 代码独立复现计算，用代码输出作为回复证据
审稿人质疑推导时，读取论文中的公式逐步验证

4. 输出

保存回复信到 workspace/<name>/response-letter.md

必须通过 CLI 将深度分析的论文关键发现写入笔记：

bash

scholaraio show "<paper-id>" --append-notes "## YYYY-MM-DD | <workspace> | review-response
- 关键发现"

如需补充引用新论文到工作区：
bash
```
scholaraio ws add <name> <paper-id>
```

写作原则

逐条回复，不遗漏：每条意见都必须有明确回应
证据优先：能用数据和文献回答的，不用空话
语气专业：感谢审稿人的建设性意见，即使不同意也保持尊重
修改可追踪：明确标注修改位置（Section、Page、Line）
引用核验：提交前用 /citation-check 检查回复信中新增或改动过的 author-year 引用
不回避弱点：如果审稿人指出的确是问题，坦诚承认并说明改进措施

示例

用户说："审稿意见回来了，帮我写 response letter" → 解析意见，分类标注，逐条在工作区中找证据，撰写回复

用户说："Reviewer 2 说我的方法跟 Smith (2023) 没区别，怎么回" → 在工作区中找到 Smith (2023)，对比方法差异，起草有理有据的反驳

Files

Just SKILL.md in .claude/skills/review-response of ZimoLiao/scholaraio.

Open the folder on GitHubat commit 777628b

Compare with similar skills

Review Response 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 Response compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Review Response this skillZimoLiao/scholaraio	577	—	~514	Automated safety check: Pass	MIT	15 days ago
Peer Reviewspacering-net/codeg	3.9k	17 repos	~5.9k	Automated safety check: Notes	MIT	today
Scholar Evaluationspacering-net/codeg	3.9k	11 repos	~3.2k	Automated safety check: Pass	MIT	today
Academic Paper Writing PipelineImbad0202/academic-research-skills	51k	—	~16k	Automated safety check: Pass	Custom licence	yesterday
Academic Paper ReviewerImbad0202/academic-research-skills	51k	—	~11k	Automated safety check: Pass	Custom licence	yesterday
Peer ReviewK-Dense-AI/claude-scientific-writer	2.4k	2 repos	~3.1k	Automated safety check: Notes	MIT	2 days ago

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Questions about Review Response

What does Review Response do?

A skill your agent uses when the user receives peer review comments and wants a rebuttal, response letter, point-by-point reply, or evidence-backed revision response. Review Response is an agent skill from ZimoLiao/scholaraio. Use when the user receives peer review comments and wants a rebuttal, response letter, point-by-point reply, or evidence-backed revision response.

When should I use Review Response?

Review Response fits situations like: the user receives peer review comments and wants a rebuttal; response letter; point-by-point reply; evidence-backed revision response.

How do I install Review Response in Claude Code?

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

How do I install Review Response in Codex?

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

Can I use Review Response 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 ZimoLiao/scholaraio --skill review-response -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-response, .gemini/skills/review-response, .github/skills/review-response and .opencode/skills/review-response in your project.

What does Review Response need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Response is instructions for the agent only. Our summary lists: Python 3.

Does Review Response 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 Response 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 Response use?

Review Response 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 Response use?

About 514 tokens (SKILL.md is roughly 2.1k 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 Review Response?

Skills that share tags, products or a category with Review Response: 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 Review Response?

ZimoLiao (a GitHub user) maintains it in ZimoLiao/scholaraio, which has 577 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on September 25, 2026.

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

Install Review Response

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

审稿回复

前提

执行逻辑

1. 解析审稿意见

2. 逐条分析

3. 撰写回复

4. 输出

写作原则

示例

Files

Compare with similar skills

Similar skills

More from ZimoLiao/scholaraio

Related

Questions about Review Response