A skill your agent uses when planning the response-to-referees after a Review of Economic Dynamics (RED) revise-and-resubmit — structuring a point-by-point reply for a single-anonymized, two-referee…

MITAuto-check passedResearch & Science

Install Red Rebuttal

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-rebuttal -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-rebuttal --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Review-of-Economic-Dynamics-Skills/skills/red-rebuttal .claude/skills/red-rebuttal && 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
red-rebuttal
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
547 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when planning the response-to-referees after a Review of Economic Dynamics (RED) revise-and-resubmit — structuring a point-by-point reply for a single-anonymized, two-referee…

  • Two-referee process
  • SKILL.md covers When to trigger, How to respond at RED, Checklist and Anti-patterns, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Prioritizing model/quantitative concerns

What it does

Red Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning the response-to-referees after a Review of Economic Dynamics (RED) revise-and-resubmit — structuring a point-by-point reply for a single-anonymized, two-referee process, prioritizing model/quantitative concerns, and remembering that second-and-later resubmissions are exempt from the submission fee. Strategy; it does not write the paper.

Its SKILL.md is about 1.3k 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: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Two-referee process
  • Prioritizing model/quantitative concerns
  • Remembering that second-and-later resubmissions are exempt from the submission fee

Example prompts

  • “/red-rebuttal”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Red Rebuttal loads about 1.3k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 547 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 547 words, ~1,324 tokens.

Download SKILL.mdSave it as .claude/skills/red-rebuttal/SKILL.md (or your agent's skills folder).
name
red-rebuttal
description
Use when planning the response-to-referees after a Review of Economic Dynamics (RED) revise-and-resubmit — structuring a point-by-point reply for a single-anonymized, two-referee process, prioritizing model/quantitative concerns, and remembering that second-and-later resubmissions are exempt from the submission fee. Strategy; it does not write the paper.

Rebuttal Strategy for RED (red-rebuttal)

When to trigger

  • An R&R has arrived from RED and you are planning the revision and reply
  • Reconciling comments from the (minimum) two referees and the editor
  • Deciding how to handle requests that touch the model, calibration, or code archive

How to respond at RED

  • Point-by-point, per referee. RED uses single-anonymized review with at least two referees; structure a clear, numbered response to each, plus a short letter to the Coordinating Editor summarizing the main changes. Quote each comment, then state the change and where it lives in the revised paper.
  • Lead with the model/quantitative concerns. Referees at a dynamic-economics journal care most about whether the mechanism, assumptions/regularity conditions, calibration discipline, and numerical accuracy hold up. Address those first; presentation comments after.
  • Re-run and re-archive. If you change the model, calibration, or estimation, re-run everything and update the data/code archive (and its readme.txt: seeds, execution order, runtime), since RED's code-first culture means reviewers expect the archive to track the revision.
  • Fee note. A second-or-later resubmission is exempt from the submission fee — the review clock, not a new fee, governs the next round.
  • Disagree respectfully, with evidence. Where you decline a change, give a model-based or quantitative reason (a robustness result, an accuracy check, a theoretical argument), not just an assertion.

Checklist

  • Separate, numbered point-by-point replies for each referee, plus an editor cover letter
  • Model/quantitative concerns addressed first; every change cross-referenced to the manuscript
  • Code/data archive re-run and updated to match the revision
  • Declined requests answered with quantitative/theoretical evidence
  • Resubmission handled as fee-exempt

Anti-patterns

  • A single undifferentiated reply that blurs the two referees' distinct concerns
  • Revising the model but not re-running or re-archiving the code
  • Treating a resubmission as if it requires a new fee
  • Brushing off a substantive identification/accuracy concern instead of confronting it

Rerun rule

Any revision that changes a parameter, calibration target, solution method, sample, or shock definition requires rerunning the affected exhibits and updating the archive README. If the response letter says "results are unchanged," cite the rerun script and output date.

Show full SKILL.md (207 more words)Show less

Response-letter skeleton for a RED R&R

text
Dear [Coordinating Editor],

Summary of changes (one page max):
  1. [Model/mechanism change] — new Section X, new Figure Y
  2. [Calibration/estimation change] — Table Z re-estimated; archive updated
  3. [New robustness] — Appendix C: accuracy checks / alternative targets

Referee 1
  Comment 1.1 (quoted). Response: [change + manuscript location].
    Rerun: run_all.sh, [date], seeds unchanged.
  Comment 1.2 (quoted). Response: we respectfully maintain [claim] because
    [quantitative evidence: robustness table / accuracy check / proposition].

Referee 2
  ...

Archive note: data/code archive v[X.Y] resubmitted; readme.txt updated
(execution order, expected runtime, random seeds).

Date-stamping each rerun and versioning the archive is cheap and signals the code-first discipline RED's data/code policy institutionalizes.

Frequent RED referee demands and how to absorb them

DemandCostStrategy
"Redo the counterfactual under an alternative calibration"compute hours–daysrun it; report in an appendix; flag heavy runtime in the letter
"Show the mechanism in a simplified version"modeling timeadd a two-period or representative-agent special case isolating the force
"Your solution may be inaccurate near the constraint"re-solvingrefine the grid near the kink; report Euler errors before and after
"Estimate parameter X rather than calibrating it"substantialnegotiate: SMM on a focused moment set, or a sensitivity band with a reason estimation is infeasible
"Compare against [referee's preferred model]"variesimplement a stripped-down version if central; otherwise differentiate analytically and bound the horse race out of scope

Triage order for the revision

Address concerns in this order: (1) anything questioning whether the mechanism exists, (2) calibration and estimation discipline, (3) numerical accuracy, (4) extra experiments, (5) exposition. A reply that fixes typos first and the accuracy concern last reads as evasive to quantitative-macro referees.

Supplementary resources

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Review-of-Economic-Dynamics-Skills/skills/red-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Red Rebuttal 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.

Red Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Red Rebuttal this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
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

    spacering-net/codeg

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

    3.9k GitHub starsUsed in 11 repos~3.2k 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 yesterday
    Research & ScienceAuto-check passed
  • Academic Paper Reviewer

    Imbad0202/academic-research-skills

    Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.

    51k GitHub stars~11k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Peer Review

    K-Dense-AI/claude-scientific-writer

    Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.

    2.4k GitHub starsUsed in 2 repos~3.1k tokens
    Research & ScienceAuto-check: notes
  • Academic Research Pipeline

    Imbad0202/academic-research-skills

    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
    Research & ScienceAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed

Questions about Red Rebuttal

What does Red Rebuttal do?

A skill your agent uses when planning the response-to-referees after a Review of Economic Dynamics (RED) revise-and-resubmit — structuring a point-by-point reply for a single-anonymized, two-referee…. Red Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning the response-to-referees after a Review of Economic Dynamics (RED) revise-and-resubmit — structuring a point-by-point reply for a single-anonymized, two-referee process, prioritizing model/quantitative concerns, and remembering that second-and-later resubmissions are exempt from the submission fee.

When should I use Red Rebuttal?

Red Rebuttal fits situations like: two-referee process; prioritizing model/quantitative concerns; remembering that second-and-later resubmissions are exempt from the submission fee.

How do I install Red Rebuttal in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-rebuttal -a claude-code`. Or copy the skill folder (Review-of-Economic-Dynamics-Skills/skills/red-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/red-rebuttal in your project. Claude Code loads it when a task matches its description.

How do I install Red Rebuttal in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-rebuttal -a codex`. Or copy the skill folder (Review-of-Economic-Dynamics-Skills/skills/red-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/red-rebuttal in your project. Codex loads it when a task matches its description.

Can I use Red Rebuttal 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 brycewang-stanford/Awesome-Journal-Skills --skill red-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/red-rebuttal, .gemini/skills/red-rebuttal, .github/skills/red-rebuttal and .opencode/skills/red-rebuttal in your project.

What does Red Rebuttal need to run?

SKILL.md names no scripts, command-line tools or credentials: Red Rebuttal is instructions for the agent only.

Does Red Rebuttal 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 Red Rebuttal 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 Red Rebuttal use?

Red Rebuttal 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 Red Rebuttal use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Red Rebuttal?

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

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.