Agent skill

Review Response

by runtsang in runtsang/RebuttalStudio

Systematic review response strategy guide for RebuttalStudio.

No licenceAuto-check passedResearch & Science

Install Review Response

skills CLI
$ npx skills add runtsang/RebuttalStudio --skill review-response -a claude-code

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

GitHub CLI
$ gh skill install runtsang/RebuttalStudio 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/runtsang/RebuttalStudio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/utility/stage/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
218
Token cost
~1.6k tokens
SKILL.md length
677 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

Systematic review response strategy guide for RebuttalStudio.

  • Works in 5 steps: Acknowledge Strengths, Respond… → Provide Clarity and Intuitive… → Thorough Justification of Experimental… → …
  • Developing response strategies for reviewer comments
  • SKILL.md covers Comment Classification, Response Strategies, Core Principles and Success Factors (from ICLR…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Response is an agent skill from runtsang/RebuttalStudio. Systematic review response strategy guide for RebuttalStudio. Use when developing response strategies for reviewer comments, deciding how to classify concerns, or choosing between Accept/Defend/Clarify/Experiment approaches at any stage of the rebuttal pipeline.

Its SKILL.md is about 1.6k 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 Literature review. The repository describes itself as: A rebuttal editor for researchers to craft high-quality academic rebuttals — so you can focus on what to say, not how to format it.

When your agent uses it

  • Developing response strategies for reviewer comments
  • Deciding how to classify concerns
  • Choosing between Accept/Defend/Clarify/Experiment approaches at any stage of the rebuttal pipeline

Example prompts

  • “/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 Choices
  4. Address Ethics and Limitations Proactively
  5. Emphasize Practical Value and Scalability

What it can do on your machine

Read from SKILL.md and the folder at commit 1f81e2f. 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

    Links to these hosts (documentation or services it may open):

    • github.com

    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 1.6k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 677 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 677 words (~1,583 tokens).

“A systematic framework for analyzing reviewer comments and developing high-quality, professionally grounded rebuttal responses.”

— opening of SKILL.md by runtsang
name
review-response
tags
Rebuttal, Strategy, Review, Academic
version
1.0.0
source
Adapted from Claude Scholar (https://github.com/Galaxy-Dawn/claude-scholar), skills/review-response/SKILL.md

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/utility/stage/review-response of runtsang/RebuttalStudio.

Open the folder on GitHubat commit 1f81e2f

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 skillruntsang/RebuttalStudio218—~1.6kAutomated safety check: PassNone
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--paper73812 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

Similar skills

  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • Systematic Review Screener

    Imbad0202/academic-research-skills

    Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.

    51k GitHub stars~8.4k tokensUpdated today
    Research & ScienceAuto-check passed
  • Literature Review

    neflibata-feng/MyArxiv-Agent

    Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).

    126 GitHub starsUsed in 20 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Preprint Search on bioRxiv

    LigphiDonk/Oh-my--paper

    Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.

    738 GitHub starsUsed in 12 repos~3.7k tokens
    Research & ScienceAuto-check passed
  • Academic Paper Writing Pipeline

    Imbad0202/academic-research-skills

    Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.

    51k GitHub stars~16k tokensUpdated today
    Research & ScienceAuto-check passed
  • Deep Research Workflow

    TokenRhythm/opensquilla

    Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.

    7.1k GitHub stars~1.3k tokensUpdated today
    Research & ScienceAuto-check passed

More from runtsang/RebuttalStudio

All 19 skills in this repo
  • Citation Verification

    runtsang/RebuttalStudio

    Verification guide for citations added during rebuttal writing.

    218 GitHub stars~1.5k tokensUpdated 6 mo ago
    Auto-check passed
  • Stage5 Final Remarks

    runtsang/RebuttalStudio

    Fill a Stage5 final remarks template using condensed discussion markdown from all reviewers and optional rating changes.

    218 GitHub stars~342 tokensUpdated 6 mo ago
    Auto-check passed
  • Document Memory Summarize

    runtsang/RebuttalStudio

    Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.

    218 GitHub stars~277 tokensUpdated 6 mo ago
    Auto-check passed
  • Text Condense

    runtsang/RebuttalStudio

    Condense rebuttal prose into fewer words without changing the original meaning.

    218 GitHub stars~465 tokensUpdated 6 mo ago
    Auto-check passed
  • Rebuttal Self Review

    runtsang/RebuttalStudio

    Systematic quality check for a completed rebuttal document before submission.

    218 GitHub stars~1.5k tokensUpdated 6 mo ago
    Auto-check passed
  • Skills

    runtsang/RebuttalStudio

    Multi-stage rebuttal analysis skill for RebuttalStudio. An agent skill from runtsang/RebuttalStudio.

    218 GitHub stars~786 tokensUpdated 6 mo ago
    Auto-check passed

Questions about Review Response

What does Review Response do?

Systematic review response strategy guide for RebuttalStudio. Review Response is an agent skill from runtsang/RebuttalStudio. Systematic review response strategy guide for RebuttalStudio.

When should I use Review Response?

Review Response fits situations like: developing response strategies for reviewer comments; deciding how to classify concerns; choosing between Accept/Defend/Clarify/Experiment approaches at any stage of the rebuttal pipeline.

How do I install Review Response in Claude Code?

Run `npx skills add runtsang/RebuttalStudio --skill review-response -a claude-code`. Or copy the skill folder (skills/utility/stage/review-response in runtsang/RebuttalStudio) 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 runtsang/RebuttalStudio --skill review-response -a codex`. Or copy the skill folder (skills/utility/stage/review-response in runtsang/RebuttalStudio) 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 runtsang/RebuttalStudio --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 names 1 domain. As links in the text: github.com. 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?

No licence was found for Review Response or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Review Response use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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: 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, 738 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Response?

runtsang (a GitHub user) maintains it in runtsang/RebuttalStudio, which has 218 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on April 3, 2026.

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