Agent skill

Review Response

by Galaxy-Dawn in Galaxy-Dawn/claude-scholar

Systematic review response workflow from comment analysis to professional rebuttal writing.

MITAuto-check passedResearch & Science

Install Review Response

skills CLI
$ npx skills add Galaxy-Dawn/claude-scholar --skill review-response -a claude-code

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

GitHub CLI
$ gh skill install Galaxy-Dawn/claude-scholar 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/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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/

Facts

Skill name
review-response
GitHub stars
5.7k
Used in
2 other repos
Token cost
~1.4k tokens
SKILL.md length
606 words
Files
6 (incl. references)
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Systematic review response workflow from comment analysis to professional rebuttal writing.

  • Works in 5 steps: Acknowledge Strengths, Respond… → Provide Clarity and Intuitive… → Thorough Justification of Experimental… → …
  • The user asks to write rebuttal
  • SKILL.md covers Core Features, Workflow, When to Use and Usage Steps, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Response is an agent skill from Galaxy-Dawn/claude-scholar. Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/rebuttal-templates.md`, `references/response-strategies.md` and `references/review-classification.md`).

It sits in Research & Science, covering Literature review. The repository describes itself as: Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding… The licence is MIT.

When your agent uses it

  • The user asks to write rebuttal
  • Respond to reviewers
  • Draft review response
  • Analyze review comments

Example prompts

  • “write rebuttal”
  • “respond to reviewers”
  • “draft review response”
  • “/review-response”

Workflow steps

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

  1. Acknowledge Strengths, Respond Positively to Criticism
  2. Provide Clarity and Intuitive Understanding
  3. Thorough Justification of Experimental Setup
  4. Emphasis on Ethical Considerations
  5. Highlight Practical Application Value

What it can do on your machine

Read from SKILL.md and the folder at commit 9037873. 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 Response loads about 1.4k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 606 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

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 Galaxy-Dawn/claude-scholar at commit 9037873, republished under its MIT licence (© Galaxy-Dawn). 606 words, ~1,440 tokens.

Download SKILL.mdSave it as .claude/skills/review-response/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
review-response
description
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
tags
Research, Academic, Rebuttal, Paper Writing
version
0.1.0

Review Response

A systematic review response workflow that helps researchers efficiently and professionally reply to reviewer comments.

Core Features

  1. Review Analysis - Parse and classify reviewer comments (Major/Minor/Typo/Misunderstanding)
  2. Response Strategy - Develop response strategies for different comment types (Accept/Defend/Clarify/Experiment)
  3. Rebuttal Writing - Write structured, professional rebuttal documents
  4. Tone Management - Optimize tone to maintain professionalism, respect, and evidence-based arguments

Workflow

Receive reviewer comments -> Parse and classify -> Develop strategy -> Write responses -> Tone check -> Final rebuttal

When to Use

Use this skill when you need to:

  • "Help me write a rebuttal"
  • "How to respond to reviewer comments"
  • "Analyze these review comments"
  • "Develop a review response strategy"

Usage Steps

  1. Provide reviewer comments - Share the reviewer comments text or file with Claude
  2. Analysis and classification - Claude automatically parses and classifies the comments
  3. Strategy recommendations - Receive response strategy suggestions for each comment
  4. Write rebuttal - Generate a structured rebuttal document based on the strategy
  5. Optimize tone - Review and optimize the professionalism and politeness of responses

Core Principles

  • Professionalism - Maintain an academically professional tone and expression
  • Respectfulness - Respect the reviewers' opinions and time
  • Evidence-based - Support every response with sufficient reasoning and evidence
  • Completeness - Ensure all reviewer comments receive a response

Success Factors (Based on ICLR Spotlight Paper Analysis)

Key lessons extracted from successful rebuttal cases:

1. Acknowledge Strengths, Respond Positively to Criticism
  • Reviewers will first acknowledge the paper's strengths (novelty, impact, practical applicability)
  • Even spotlight papers receive constructive criticism
  • Strategy: Thank reviewers for acknowledged strengths first, then address criticism specifically
2. Provide Clarity and Intuitive Understanding
  • Even high-quality papers may have clarity issues
  • Need to provide intuition and detailed explanations for readers with different backgrounds
  • Strategy: Expand key sections, move technical details to appendix, add step-by-step walkthroughs
3. Thorough Justification of Experimental Setup
  • Need to justify experimental setup choices
  • Consider and discuss alternative metrics
  • Provide comprehensive experiments to support claims
  • Strategy: Add ablation studies, explain why specific experimental setups were chosen
4. Emphasis on Ethical Considerations
  • For research involving privacy, security, and other sensitive topics, ethical considerations are crucial
  • Reviewers pay special attention to ethical implications
  • Strategy: Proactively discuss ethical considerations, even if reviewers don't explicitly request it
5. Highlight Practical Application Value
  • Reviewers value practical applicability and scalability of methods
  • "Easily applicable" and "scalable" are important strengths
  • Strategy: Emphasize practical benefits and scalability in the rebuttal
Show full SKILL.md (235 more words)Show less

Integration with active installed writing memory

When the rebuttal task involves:

  • tone calibration,
  • rebuttal phrasing,
  • clarification language,
  • structuring multi-point responses,
  • or learning from strong prior paper/review writing,

read the active installed writing memory before drafting:

  • ~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md on Claude Code installs
  • the equivalent installed skill-home path on Codex/OpenCode branches
  • otherwise skip this optional memory and continue with the local review-response references
Default read order for rebuttal work
  1. reviewer comments and paper context
  2. optional paper-miner-writing-memory.md if available
  3. references/response-strategies.md
  4. references/rebuttal-templates.md
  5. references/tone-guidelines.md

Read narrowly:

  • start with How this helps our writing,
  • then inspect Reusable phrasing,
  • then inspect Venue-specific signals if the rebuttal is venue-sensitive,
  • use Writing patterns mined only when the response needs stronger rhetorical structure.

Do not quote the memory mechanically. Use it to improve structure, clarity, restraint, and professionalism.

Evidence anchor rule

Every response row must include one of:

  • paper location,
  • result table / figure / analysis artifact,
  • citation / Evidence Record ID,
  • planned experiment with status,
  • unresolved if no evidence exists yet.

Do not claim "we added experiments" or "the results show" without naming the artifact. If an objection has multiple atomic points, split it and cover each point separately.

Reference Documents

For detailed guides, refer to:

  • references/review-classification.md - Review comment classification criteria
  • references/response-strategies.md - Response strategy library
  • references/rebuttal-templates.md - Rebuttal templates and examples
  • references/tone-guidelines.md - Tone and expression guidelines
  • Agent: rebuttal-writer - Dedicated agent for rebuttal writing and optimization
  • Command: /rebuttal <review_file> - Quick-start the rebuttal workflow

© Galaxy-Dawn, 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 5 other files (references) in skills/review-response of Galaxy-Dawn/claude-scholar.

  • SKILL.md
  • references/rebuttal-templates.md
  • references/response-strategies.md
  • references/review-classification.md
  • references/successful-cases.md
  • references/tone-guidelines.md

Open the folder on GitHubat commit 9037873

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Galaxy-Dawn/claude-scholar, which our catalogue first saw on October 7, 2026.

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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Response this skillGalaxy-Dawn/claude-scholar5.7k2 repos~1.4kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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Questions about Review Response

What does Review Response do?

Systematic review response workflow from comment analysis to professional rebuttal writing. Review Response is an agent skill from Galaxy-Dawn/claude-scholar. Systematic review response workflow from comment analysis to professional rebuttal writing.

When should I use Review Response?

Review Response fits situations like: the user asks to write rebuttal; respond to reviewers; draft review response; analyze review comments.

How do I install Review Response in Claude Code?

Run `npx skills add Galaxy-Dawn/claude-scholar --skill review-response -a claude-code`. Or copy the skill folder (skills/review-response in Galaxy-Dawn/claude-scholar) 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 Galaxy-Dawn/claude-scholar --skill review-response -a codex`. Or copy the skill folder (skills/review-response in Galaxy-Dawn/claude-scholar) 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 Galaxy-Dawn/claude-scholar --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.

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 1.4k tokens (SKILL.md is roughly 5.8k 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 15k tokens, read only when the agent opens those files.

What are the alternatives to Review Response?

Skills that share tags, products or a category with Review Response: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Response?

Galaxy-Dawn (a GitHub user) maintains it in Galaxy-Dawn/claude-scholar, which has 5,725 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on September 23, 2026.

Source: Galaxy-Dawn/claude-scholar on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.