A skill your agent uses when planning and drafting the response to a Journal of Management Information Systems (JMIS) major/minor revision — a point-by-point reply to the EIC, Associate Editor, and…

MITAuto-check passedResearch & Science

Install Jmis Rebuttal

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jmis-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-Management-Information-Systems-Skills/skills/jmis-rebuttal .claude/skills/jmis-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
jmis-rebuttal
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
886 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when planning and drafting the response to a Journal of Management Information Systems (JMIS) major/minor revision — a point-by-point reply to the EIC, Associate Editor, and…

  • Works in 3 steps: Fit / contribution concerns first. If… → Identification / measurement /… → Cosmetic / clarity. Batch and resolve…
  • Associate Editor
  • SKILL.md covers When to trigger, Triage before you draft, Weight the AE over a divergent… and Draft the point-by-point…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jmis Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning and drafting the response to a Journal of Management Information Systems (JMIS) major/minor revision — a point-by-point reply to the EIC, Associate Editor, and double-anonymized referees that resolves identification, measurement, contribution, and robustness concerns. Plans and drafts the response; revisit earlier jmis- skills to execute the underlying fixes.

Its SKILL.md is about 1.8k 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

  • Associate Editor
  • Double-anonymized referees that resolves identification
  • Robustness concerns

Example prompts

  • “/jmis-rebuttal”

Workflow steps

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

  1. Fit / contribution concerns first. If the AE or EIC doubts the IS-management contribution, no robustness check rescues it — re-run…
  2. Identification / measurement / robustness. Classify each as a real fix (new analysis), a clarification (already in the paper, surface it)…
  3. Cosmetic / clarity. Batch and resolve quickly.

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

Jmis Rebuttal loads about 1.8k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 886 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 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). 886 words, ~1,817 tokens.

Download SKILL.mdSave it as .claude/skills/jmis-rebuttal/SKILL.md (or your agent's skills folder).
name
jmis-rebuttal
description
Use when planning and drafting the response to a Journal of Management Information Systems (JMIS) major/minor revision — a point-by-point reply to the EIC, Associate Editor, and double-anonymized referees that resolves identification, measurement, contribution, and robustness concerns. Plans and drafts the response; revisit earlier jmis-* skills to execute the underlying fixes.

Rebuttal Strategy (jmis-rebuttal)

When to trigger

  • A JMIS major- or minor-revision letter arrived and you need a response plan
  • Referee and AE comments conflict and you must decide whom to follow
  • A reviewer asks for analysis you have not run, or challenges the contribution's IS relevance
  • You need a point-by-point response letter that the EIC and AE can adjudicate quickly

Triage before you draft

JMIS revisions come back through an EIC-led, double-anonymized process: the EIC and Associate Editor weigh the referees, so your response is read by people deciding whether you have resolved concerns, not merely answered them. Triage every comment:

  1. Fit / contribution concerns first. If the AE or EIC doubts the IS-management contribution, no robustness check rescues it — re-run jmis-contribution-framing and lead the letter with the reframe.
  2. Identification / measurement / robustness. Classify each as a real fix (new analysis), a clarification (already in the paper, surface it), or a defensible decline (explain why the request is not appropriate, with evidence).
  3. Cosmetic / clarity. Batch and resolve quickly.

Weight the AE over a divergent referee, but answer everyone

When referees conflict, the AE's letter is the decision signal — prioritize the concerns the AE foregrounds, and where two referees disagree, say how you reconciled them and why. Never silently side with one referee against another; make the resolution explicit so the AE can see your reasoning. Answer every comment, even the ones you decline.

Draft the point-by-point response

  • Lead with a summary of the major changes and how the contribution is now sharper for IS management.
  • Quote each comment, then respond with what you changed, where (section/table/page), and the result. Show, do not assert: paste the new estimate, the new validity figure, the new robustness column.
  • Where you decline, give a reasoned, evidence-backed explanation — politely and without defensiveness.
  • Keep the revised paper inside ≤50 pages even after additions; if new analyses crowd the body, move support to the online appendix rather than overrunning the limit.
  • Maintain anonymization in the revised manuscript and respect the numbered-reference style throughout.

Match the fix to the right skill

Referee concernWhere the real fix happens
Contribution unclear / incrementaljmis-contribution-framing (+ jmis-literature-positioning)
Endogeneity / weak identificationjmis-data-analysis (+ jmis-methods)
Construct validity / common-method biasjmis-data-analysis
Not robust / not generalizablejmis-data-analysis
Exhibits unclearjmis-tables-figures
Prose / abstract / framingjmis-writing-style

Checklist

  • Every comment is triaged: real fix / clarification / reasoned decline
  • Fit/contribution concerns are addressed first and lead the letter
  • AE's emphasis is prioritized; conflicting referees explicitly reconciled
  • Each response names the change, its location, and the result (with new numbers)
  • Declines are justified with evidence, not asserted
  • Revised manuscript stays ≤50pp, anonymized, with numbered references
  • The letter opens with a one-page summary of major changes
  • Every response carries a verifiable pointer (section/table/page) the AE can check

Worked move: converting a contested request into a resolved concern (illustrative)

A referee demands an instrument you do not have. Arguing "no valid instrument exists" reads as a dodge. The resolving move triangulates: add the within-unit/quasi-experimental evidence you can produce, run a selection-sensitivity analysis showing how large unobserved confounding would have to be to overturn the result, and state plainly the residual limitation in the discussion. You did not give the referee the exact tool requested, but you addressed the underlying worry — endogeneity — with evidence, and you let the AE see that the concern is now bounded rather than ignored. That is what "resolved, not just answered" means in an EIC-led process.

Show full SKILL.md (320 more words)Show less

Anti-patterns

  • A defensive letter that argues with referees instead of resolving concerns
  • Answering robustness asks while leaving the contribution doubt untouched
  • Silently following one referee against another without explaining the reconciliation
  • "We have addressed this" with no pointer to the change or new evidence
  • Letting added analyses push the paper past 50 pages or break anonymization
  • A response the AE cannot verify against the manuscript without hunting for the change
  • Answering a contested request literally instead of resolving the underlying concern with available evidence
  • Reintroducing identifying details in the revision letter or revised manuscript

Structure the response document for fast adjudication

The EIC and AE adjudicate faster when the letter is built for scanning. Open with a one-page summary of major changes that states how the contribution is now sharper and lists the three or four biggest revisions. Then take each reviewer in turn, quoting every comment verbatim in a distinct font or block, followed by your response in plain text with an explicit pointer ("see revised Section 4.2, Table 3, p. 18") and the new result stated inline. Where the same concern came from multiple reviewers, answer it once and cross-reference, so the AE sees consistency rather than contradictions. Close each reviewer's section by inviting them to the specific changed passages. A response that the AE can verify against the manuscript without hunting is itself evidence that you took the review seriously.

Route the underlying work, then write the letter

The response letter documents fixes; it does not perform them. Before drafting, send each substantive concern to the skill that owns the real change — identification and measurement to jmis-data-analysis, contribution doubts to jmis-contribution-framing, exhibit problems to jmis-tables-figures — and complete those revisions in the manuscript first. Then write the letter against the finished revision, so every "we have done X" points to a change that already exists. A letter written ahead of the work invariably overpromises and underdelivers.

Output format

text
【Decision type】major / minor revision
【Lead change】how the IS-management contribution is now sharper
【Comment triage】#fixes / #clarifications / #reasoned-declines
【AE emphasis】the concerns prioritized; conflicts reconciled
【Response letter】point-by-point, each with location + new result
【Constraints kept】≤50pp / anonymized / numbered refs
【Underlying fixes routed to】jmis-data-analysis / jmis-contribution-framing / jmis-tables-figures / …

© 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-Management-Information-Systems-Skills/skills/jmis-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Jmis Rebuttal

What does Jmis Rebuttal do?

A skill your agent uses when planning and drafting the response to a Journal of Management Information Systems (JMIS) major/minor revision — a point-by-point reply to the EIC, Associate Editor, and…. Jmis Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning and drafting the response to a Journal of Management Information Systems (JMIS) major/minor revision — a point-by-point reply to the EIC, Associate Editor, and double-anonymized referees that resolves identification, measurement, contribution, and robustness concerns.

When should I use Jmis Rebuttal?

Jmis Rebuttal fits situations like: associate Editor; double-anonymized referees that resolves identification; robustness concerns.

How do I install Jmis Rebuttal in Claude Code?

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

How do I install Jmis Rebuttal in Codex?

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

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

What does Jmis Rebuttal need to run?

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

Does Jmis 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 Jmis 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 Jmis Rebuttal use?

Jmis 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 Jmis Rebuttal use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 Jmis Rebuttal?

Skills that share tags, products or a category with Jmis 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 Jmis 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.