Agent skill

Scholar Review

by catlog22 in catlog22/maestro-flow

Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback.

No licenceAuto-check: notesResearch & Science

Install Scholar Review

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

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

GitHub CLI
$ gh skill install catlog22/maestro-flow scholar-review --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-review .claude/skills/scholar-review && 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-review
GitHub stars
564
Token cost
~2.3k tokens
SKILL.md length
478 words
Files
7
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback.

  • Works in 4 steps: Codebase docs: If… → Specs: maestro load --type spec… → Wiki knowledge: maestro search "academic… → …
  • Respond to reviewers
  • SKILL.md covers Pre-load (before execution), Architecture Overview, Key Design Principles and Interactive Preference…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scholar Review is an agent skill from catlog22/maestro-flow. Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback. Triggers on "review paper", "self-review", "write rebuttal", "respond to reviewers", "analyze review comments", "paper review".

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `phases/01-self-review.md`, `phases/02-review-analysis.md` and `phases/03-response-strategy.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
  • Analyze review comments

Example prompts

  • “review paper”
  • “self-review”
  • “write rebuttal”
  • “/scholar-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion, TodoWrite

Workflow steps

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

  1. Codebase docs: If .workflow/codebase/ARCHITECTURE.md exists, read for project context
  2. Specs: maestro load --type spec --category coding — load coding conventions
  3. Wiki knowledge: maestro search "academic writing research paper" --json — top 5 entries as prior context
  4. All optional — proceed without if unavailable

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:

    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion
    • TodoWrite

    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

Scholar Review loads about 2.3k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 478 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
~2.3k

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: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion, TodoWrite

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 478 words (~2,272 tokens).

“A structured workflow for academic paper review and rebuttal. Covers two modes: (1) pre-submission self-review to identify and fix weaknesses before submitting, and (2) post-review rebuttal writing to respond professionally to reviewer feedback.”

— opening of SKILL.md by catlog22
name
scholar-review
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion, TodoWrite
disable-model-invocation
true
session-mode
none

Read the full SKILL.md on GitHub

Files

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

  • SKILL.md
  • phases/01-self-review.md
  • phases/02-review-analysis.md
  • phases/03-response-strategy.md
  • phases/04-rebuttal-writing.md
  • phases/05-revision.md
  • specs/tone-guidelines.md

Open the folder on GitHubat commit f888cec

Compare with similar skills

Scholar Review 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 Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scholar Review this skillcatlog22/maestro-flow564—~2.3kAutomated 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
    Research & ScienceAuto-check: notes
  • Scholar Evaluation

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    Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…

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  • Academic Paper Writing Pipeline

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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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  • Academic Paper Reviewer

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    51k GitHub stars~11k tokensUpdated yesterday
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  • Peer Review

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    2.4k GitHub starsUsed in 2 repos~3.1k tokens
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  • Academic Research Pipeline

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    Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

    51k GitHub stars~15k tokensUpdated yesterday
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Questions about Scholar Review

What does Scholar Review do?

Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback. Scholar Review is an agent skill from catlog22/maestro-flow. Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback.

When should I use Scholar Review?

Scholar Review fits situations like: respond to reviewers; analyze review comments.

How do I install Scholar Review in Claude Code?

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

How do I install Scholar Review in Codex?

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

Can I use Scholar Review 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-review -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-review, .gemini/skills/scholar-review, .github/skills/scholar-review and .opencode/skills/scholar-review in your project.

What does Scholar Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Scholar Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion, TodoWrite.

Does Scholar Review 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 Review 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 Review use?

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

How many tokens does Scholar Review use?

About 2.3k tokens (SKILL.md is roughly 9.1k 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 Scholar Review?

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

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.