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Agent skill

Scholar Rebuttal Pro

by catlog22 in catlog22/maestro-flow

Enhanced academic paper review response workflow with Agy/CLI collaborative analysis and multi-perspective discussion.

No licenceAuto-check: notesResearch & Science

Install Scholar Rebuttal Pro

skills CLI
$ npx skills add catlog22/maestro-flow --skill scholar-rebuttal-pro -a claude-code

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

GitHub CLI
$ gh skill install catlog22/maestro-flow scholar-rebuttal-pro --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/catlog22/maestro-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/optional/skills/scholar-rebuttal-pro .claude/skills/scholar-rebuttal-pro && 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
scholar-rebuttal-pro
GitHub stars
564
Token cost
~4.8k tokens
SKILL.md length
1,028 words
Files
7
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Enhanced academic paper review response workflow with Agy/CLI collaborative analysis and multi-perspective discussion.

  • Works in 2 steps: (Tasks Attached) → (Collapsed)
  • Respond to reviewers
  • SKILL.md covers Pre-load (before execution), Architecture Overview, Key Design Principles and Interactive Preference…, plus 13 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scholar Rebuttal Pro is an agent skill from catlog22/maestro-flow. Enhanced academic paper review response workflow with Agy/CLI collaborative analysis and multi-perspective discussion. Produces structured rebuttal documents with evidence-based strategies. Triggers on "rebuttal", "respond to reviewers", "review response", "审稿回复".

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `README.md`, `phases/01-review-parsing.md` and `phases/02-multi-perspective-discussion.md`).

It sits in Research & Science, covering Peer review. The repository describes itself as: Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini….

When your agent uses it

  • Respond to reviewers
  • Review response

Example prompts

  • “rebuttal”
  • “respond to reviewers”
  • “review response”
  • “/scholar-rebuttal-pro”

Requirements

  • Pre-approved tools (allowed-tools): Task, AskUserQuestion, TodoWrite, Read, Write, Edit, Bash, Glob, Grep, Skill, mcp__ace-tool__search_context, mcp__maestro__read_file, mcp__maestro__edit_file

Workflow steps

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

  1. (Tasks Attached)
  2. (Collapsed)

What it can do on your machine

Read from SKILL.md and the folder at commit f888cec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Task
    • AskUserQuestion
    • TodoWrite
    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • Skill

    …and 3 more on the same allowed-tools line.

    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 javascript, bash and json).

    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

Scholar Rebuttal Pro loads about 4.8k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 1,028 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Task, AskUserQuestion, TodoWrite, Read, Write, Edit, Bash, Glob, Grep, Skill, mcp__ace-tool__search_

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 1,028 words (~4,808 tokens).

name
scholar-rebuttal-pro
allowed-tools
Task, AskUserQuestion, TodoWrite, Read, Write, Edit, Bash, Glob, Grep, Skill, mcp__ace-tool__search_context, mcp__maestro__read_file, mcp__maestro__edit_file
disable-model-invocation
true
session-mode
run

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files in optional/skills/scholar-rebuttal-pro of catlog22/maestro-flow.

  • SKILL.md
  • README.md
  • phases/01-review-parsing.md
  • phases/02-multi-perspective-discussion.md
  • phases/03-strategy-formulation.md
  • phases/04-rebuttal-writing.md
  • phases/05-quality-validation.md

Open the folder on GitHubat commit f888cec

Compare with similar skills

Scholar Rebuttal Pro 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.

Scholar Rebuttal Pro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scholar Rebuttal Pro this skillcatlog22/maestro-flow564—~4.8kAutomated safety check: NotesNone
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT
Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

Similar skills

  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
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  • Scholar Evaluation

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    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 yesterday
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Categories

Questions about Scholar Rebuttal Pro

What does Scholar Rebuttal Pro do?

Enhanced academic paper review response workflow with Agy/CLI collaborative analysis and multi-perspective discussion. Scholar Rebuttal Pro is an agent skill from catlog22/maestro-flow. Enhanced academic paper review response workflow with Agy/CLI collaborative analysis and multi-perspective discussion.

When should I use Scholar Rebuttal Pro?

Scholar Rebuttal Pro fits situations like: respond to reviewers; review response.

How do I install Scholar Rebuttal Pro in Claude Code?

Run `npx skills add catlog22/maestro-flow --skill scholar-rebuttal-pro -a claude-code`. Or copy the skill folder (optional/skills/scholar-rebuttal-pro in catlog22/maestro-flow) into .claude/skills/scholar-rebuttal-pro in your project. Claude Code loads it when a task matches its description.

How do I install Scholar Rebuttal Pro in Codex?

Run `npx skills add catlog22/maestro-flow --skill scholar-rebuttal-pro -a codex`. Or copy the skill folder (optional/skills/scholar-rebuttal-pro in catlog22/maestro-flow) into .agents/skills/scholar-rebuttal-pro in your project. Codex loads it when a task matches its description.

Can I use Scholar Rebuttal Pro 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 catlog22/maestro-flow --skill scholar-rebuttal-pro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholar-rebuttal-pro, .gemini/skills/scholar-rebuttal-pro, .github/skills/scholar-rebuttal-pro and .opencode/skills/scholar-rebuttal-pro in your project.

What does Scholar Rebuttal Pro need to run?

SKILL.md names no scripts, command-line tools or credentials: Scholar Rebuttal Pro is instructions for the agent only. Its frontmatter pre-approves these tools: Task, AskUserQuestion, TodoWrite, Read, Write, Edit, Bash, Glob, Grep, Skill, mcp__ace-tool__search_context, mcp__maestro__read_file, mcp__maestro__edit_file.

Does Scholar Rebuttal Pro 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 Scholar Rebuttal Pro safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Scholar Rebuttal Pro use?

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

How many tokens does Scholar Rebuttal Pro use?

About 4.8k tokens (SKILL.md is roughly 19k 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 Scholar Rebuttal Pro?

Skills that share tags, products or a category with Scholar Rebuttal Pro: 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 Scholar Rebuttal Pro?

catlog22 (a GitHub user) maintains it in catlog22/maestro-flow, which has 564 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 8, 2026.

Source: catlog22/maestro-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.