A skill your agent uses when building the response letter for a Journal of Economic Theory (JET) revise-and-resubmit — address each single-anonymized referee's correctness, generality, and…

MITAuto-check passedResearch & Science

Install Jet Rebuttal

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jet-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/Journal-of-Economic-Theory-Skills/skills/jet-rebuttal .claude/skills/jet-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
jet-rebuttal
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
540 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building the response letter for a Journal of Economic Theory (JET) revise-and-resubmit — address each single-anonymized referee's correctness, generality, and…

  • Works in 5 steps: Triage by severity. Correctness issues… → For a proof gap: either supply the… → For "is assumption X necessary?": answer… → …
  • Exposition points
  • SKILL.md covers When to trigger, How JET R&Rs work, Response strategy and Severity ladder for theory…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jet Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the response letter for a Journal of Economic Theory (JET) revise-and-resubmit — address each single-anonymized referee's correctness, generality, and exposition points, supply corrected or strengthened proofs or counterexamples, and show exactly where the .tex was changed. For R&Rs; it does not invent referee taste.

Its SKILL.md is about 1.2k 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 and LaTeX. 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

  • Exposition points
  • Supply corrected
  • Strengthened proofs
  • Counterexamples

Example prompts

  • “/jet-rebuttal”

Workflow steps

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

  1. Triage by severity. Correctness issues first (a broken lemma sinks the paper), then generality
  2. For a proof gap: either supply the corrected/complete argument or, if the result is false as
  3. For "is assumption X necessary?": answer with a counterexample (X dropped → result fails) or
  4. For exposition: restate the theorem in the body, move heavy machinery to an appendix
  5. Show the diff. Quote each comment, give a direct answer, and cite the **exact section / equation /

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

Jet Rebuttal loads about 1.2k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 540 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 540 words, ~1,233 tokens.

Download SKILL.mdSave it as .claude/skills/jet-rebuttal/SKILL.md (or your agent's skills folder).
name
jet-rebuttal
description
Use when building the response letter for a Journal of Economic Theory (JET) revise-and-resubmit — address each single-anonymized referee's correctness, generality, and exposition points, supply corrected or strengthened proofs or counterexamples, and show exactly where the .tex was changed. For R&Rs; it does not invent referee taste.

R&R Rebuttal (jet-rebuttal)

When to trigger

  • You received an R&R (or a reject-and-resubmit) from JET and must reply to referees
  • A referee flagged a gap in a proof, an unstated assumption, or a missing case
  • You need to position generalizations the editor and two referees asked for

How JET R&Rs work

  • Decisions come from the editor synthesizing two-plus single-anonymized referee reports. Because review is single-blind, referees may know your prior work — engage substance, not identity.
  • For theory, the highest-stakes comments are about correctness and scope: an alleged hole in a proof, an assumption doing more work than acknowledged, a claimed "general" result that secretly needs finiteness/continuity/convexity, or a counterexample to a stated proposition.

Response strategy

  1. Triage by severity. Correctness issues first (a broken lemma sinks the paper), then generality and necessity-of-assumption questions, then exposition.
  2. For a proof gap: either supply the corrected/complete argument or, if the result is false as stated, narrow the claim to what the proof supports and say so plainly. Never paper over a hole.
  3. For "is assumption X necessary?": answer with a counterexample (X dropped → result fails) or a generalization (X weakened, result survives). Add the weaker statement as the new main result where credible.
  4. For exposition: restate the theorem in the body, move heavy machinery to an appendix (thm-restate), and tighten notation.
  5. Show the diff. Quote each comment, give a direct answer, and cite the exact section / equation / theorem number in the revised .tex that implements the change.

Severity ladder for theory reports

Report claimStakesFirst moveLetter posture
"The proof of Lemma k has a gap"paper-sinking if realre-derive the step from scratch; do not pattern-match the old argumentcorrected argument in full, or a narrowed claim
"Here is a counterexample to Proposition j"decisive either wayverify it against every numbered assumptionif valid: thank, repair or narrow; if it violates an assumption: show which line fails
"Is Assumption A2 necessary?"scope of the contributionattempt the weakening; else construct the dropping-A2 examplea new Example or a generalized theorem
"This follows from [known theorem]"originalitywrite out the claimed reduction or its failure pointthe precise reason the known theorem does not apply
"Proofs are unreadable"acceptance frictionrestate theorems, add a lemma roadmap, offload to appendixa table mapping moved material to new locations
Show full SKILL.md (150 more words)Show less

When the referee's counterexample is right

  1. Verify first. Check it satisfies all your numbered assumptions — many alleged counterexamples violate a regularity condition, and showing which line fails ends the issue.
  2. Locate the first false step. If the example is valid, find the exact line of the proof it breaks; everything before that line survives.
  3. Repair or retreat. Add the missing condition loudly (own the generality loss in the letter and the introduction), or restate the result at the strength the proof actually delivers.
  4. Credit it. If the referee's example now appears in the paper, acknowledge the referee.

Response-letter skeleton

text
Editor summary (≤1 page, theorem-level):
  Theorem 1 unchanged; Proposition 2 narrowed (now requires A4 — see R1.3);
  new Example 3 shows A2 cannot be dropped (R2.1); Appendix C rewritten for readability.
Per referee, per point:
  [R1.3] "<verbatim comment>"
    → Type: correctness
    → Response: corrected the Lemma 2 step; the missing case is handled by new eq. (12)
    → Location: §4.2 and Appendix B.1; flagged in the attached latexdiff
Attachments: revised .tex, latexdiff PDF, this letter.

Anti-patterns

  • Defending a result you now know is false instead of narrowing it
  • "We thank the referee" with no concrete change or location
  • Adding assumptions silently to rescue a proof without flagging the reduced generality
  • Re-disclosing or hiding generative-AI use inconsistently from the original submission

Output format

【Referee N · Comment k】<verbatim>
  → Type: correctness | generality/necessity | exposition
  → Response: <corrected proof / counterexample / narrowed claim>
  → Change at: §x / Prop y / eq (z) in revised .tex
【Net effect】result strengthened / scope clarified / claim narrowed

© 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 Journal-of-Economic-Theory-Skills/skills/jet-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jet 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.

Jet Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jet Rebuttal this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Paper Writingvoidful/academic-skills135—~1.9kAutomated safety check: PassMIT
Research Paper Writing CoachXiaomiMiMo/MiMo-Code14k—~1.7kAutomated safety check: PassMIT
Research Writing SkillzLanqing/codex-claude-academic-skills4.7k—~1.1kAutomated safety check: PassMIT
01 Paper Reviewagentscope-ai/OpenJudge871—~2.4kAutomated safety check: PassApache-2.0

Similar skills

  • 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
  • Paper Writing

    voidful/academic-skills

    頂級會議論文寫作技能——以嚴格 reviewer 視角指導從草稿到終稿的完整寫作流程。當使用者要寫論文、改善論文草稿、修改特定章節(introduction、method、experiments、conclusion)、潤色學術英文、回應 reviewer 意見,或問「這段怎麼寫」時,一定要使用此技能。觸發詞包括:寫論文、paper writing、improve my…

    135 GitHub stars~1.9k tokensUpdated 6 mo ago
    Research & ScienceAuto-check passed
  • Research Paper Writing Coach

    XiaomiMiMo/MiMo-Code

    Drafts, rewrites and reviews academic papers in ML, CV and NLP style, section by section, and compiles LaTeX sources to PDF.

    14k GitHub stars~1.7k tokensUpdated 2 days ago
    Research & ScienceAuto-check passed
  • Research Writing Skill

    zLanqing/codex-claude-academic-skills

    Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning.

    4.7k GitHub stars~1.1k tokensUpdated 5 mo ago
    Research & ScienceAuto-check passed
  • 01 Paper Review

    agentscope-ai/OpenJudge

    Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline.

    871 GitHub stars~2.4k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • Paperjury

    Spark-To-Paper-Skills/paperjury

    Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML).

    1.2k GitHub stars~5.3k tokensUpdated 1 mo ago
    Documents & OfficeAuto-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 Jet Rebuttal

What does Jet Rebuttal do?

A skill your agent uses when building the response letter for a Journal of Economic Theory (JET) revise-and-resubmit — address each single-anonymized referee's correctness, generality, and…. Jet Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills.tex was changed.

When should I use Jet Rebuttal?

Jet Rebuttal fits situations like: exposition points; supply corrected; strengthened proofs; counterexamples.

How do I install Jet Rebuttal in Claude Code?

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

How do I install Jet Rebuttal in Codex?

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

Can I use Jet 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 jet-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/jet-rebuttal, .gemini/skills/jet-rebuttal, .github/skills/jet-rebuttal and .opencode/skills/jet-rebuttal in your project.

What does Jet Rebuttal need to run?

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

Does Jet 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 Jet 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 Jet Rebuttal use?

Jet 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 Jet Rebuttal use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Jet Rebuttal?

Skills that share tags, products or a category with Jet Rebuttal: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Paper Writing (voidful/academic-skills, 135 stars), Research Paper Writing Coach (XiaomiMiMo/MiMo-Code, 14k stars) and Research Writing Skill (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jet 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.