A skill your agent uses when planning the strategy and structure for a Journal of Financial and Quantitative Analysis (JFQA) revise-and-resubmit response — point-by-point replies to double-anonymous…

MITAuto-check passedResearch & Science

Install Jfqa Rebuttal

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-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-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-rebuttal .claude/skills/jfqa-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
jfqa-rebuttal
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
550 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 strategy and structure for a Journal of Financial and Quantitative Analysis (JFQA) revise-and-resubmit response — point-by-point replies to double-anonymous…

  • Works in 4 steps: Identification and inference fixes first… → Then re-scale magnitudes and refresh the… → Then the framing edits: abstract still… → …
  • New robustness/identification evidence
  • SKILL.md covers Structure of the response, What JFQA referees typically…, Discipline and Anti-patterns, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jfqa Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning the strategy and structure for a Journal of Financial and Quantitative Analysis (JFQA) revise-and-resubmit response — point-by-point replies to double-anonymous referees and the handling Managing Editor, new robustness/identification evidence, and code-archive readiness.

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. 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

  • New robustness/identification evidence
  • Code-archive readiness

Example prompts

  • “/jfqa-rebuttal”

Workflow steps

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

  1. Identification and inference fixes first — they can change every downstream number.
  2. Then re-scale magnitudes and refresh the exhibits (notes must reflect the new SE choices).
  3. Then the framing edits: abstract still one paragraph at ≤ 100 words after all changes.
  4. Last, regenerate everything from the master script and re-anonymize the PDF; an R&R at a journal that prints under 9% is an opportunity to…

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

Jfqa Rebuttal loads about 1.2k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 550 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
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). 550 words, ~1,180 tokens.

Download SKILL.mdSave it as .claude/skills/jfqa-rebuttal/SKILL.md (or your agent's skills folder).
name
jfqa-rebuttal
description
Use when planning the strategy and structure for a Journal of Financial and Quantitative Analysis (JFQA) revise-and-resubmit response — point-by-point replies to double-anonymous referees and the handling Managing Editor, new robustness/identification evidence, and code-archive readiness.

JFQA Rebuttal (jfqa-rebuttal)

Use this skill to turn a JFQA revise-and-resubmit into an acceptance. The handling Managing Editor and the double-anonymous referees must see every concern addressed and the contribution sharpened.

Structure of the response

  • A short cover letter to the handling editor: thank them, summarize the main changes, and signal how the revision resolves the central concerns.
  • A point-by-point response to each referee: quote the comment, give the response, and point to the exact revised text/table/figure (page and exhibit numbers).
  • Where you disagree, do so respectfully and with evidence, not assertion.

What JFQA referees typically push on

  • Identification / endogeneity — add the design fix or a placebo/falsification, not just more controls (see jfqa-identification-strategy).
  • Inference — clustering dimension, weak-IV-robust CIs, multiple-testing for anomalies.
  • Economic magnitude — show the effect is economically, not just statistically, meaningful.
  • Robustness — alternative samples/definitions/specifications.
  • Contribution — re-state what is new vs. the closest rivals.

Discipline

  • Address every comment; an unaddressed point reads as defiance.
  • Keep new analyses reproducible — fold them into the master script now so the eventual JFQA Dataverse archive stays consistent (see jfqa-replication-and-data-policy).
  • Maintain anonymization in the revised PDF and metadata.
  • Watch length — do not let the revision balloon past what the journal tolerates.

Anti-patterns

  • A defensive letter that argues rather than revises.
  • Selectively answering only the easy comments.
  • New results not yet wired into the reproducible pipeline.
  • Re-introducing author identity in the revised file.

Comment triage before drafting a word

Comment typeRequired artifactWhere it lands
Identification / endogeneity demandnew design element, placebo, or falsification tablemain text, with the old spec moved to the appendix
Inference complaintre-estimated tables under the requested SE schememain tables updated; alternates in an Internet Appendix
"Economically small"scaling paragraph (one-SD, %-of-mean, dollar value)intro and the main-table note
Missing rival papercontrast paragraph plus, if needed, a horse-race columnliterature positioning + one exhibit
Robustness fishing lista consolidated robustness table, not ten new tablesInternet Appendix, summarized in one text paragraph
"Not interesting / not JFQA"a reframed contribution case in the editor lettercover letter; tables alone cannot fix this one

Triage first, then budget: the identification items consume most of the calendar; the scaling and citation items are cheap and should never be the reason a deadline slips.

Show full SKILL.md (179 more words)Show less

Worked reply to an inference comment (numbers illustrative)

Referee: "Clustering by firm only likely understates the standard errors given common time shocks." Model response: agree without hedging; re-estimate every main table with two-way firm-and-year clustering; report that the headline t-statistic moves from 4.2 to 3.1 and the conclusion stands; add a wild-cluster-bootstrap panel as Internet Appendix Table IA.3 for the specifications with few clusters; end with the exact page and table numbers where the manuscript changed. The reply quotes the comment in full, leads with the new result rather than the rhetoric, and gives the referee a checkable location for every claim.

Sequencing the JFQA revision

  1. Identification and inference fixes first — they can change every downstream number.
  2. Then re-scale magnitudes and refresh the exhibits (notes must reflect the new SE choices).
  3. Then the framing edits: abstract still one paragraph at ≤ 100 words after all changes.
  4. Last, regenerate everything from the master script and re-anonymize the PDF; an R&R at a journal that prints under 9% is an opportunity to over-deliver, not a promise.

Output format

【Editor letter】main changes summarized? [Y/N]
【Per-referee】every comment quoted + answered + located? [Y/N]
【New evidence】identification/robustness/magnitude added where asked? [Y/N]
【Reproducible】new analyses in the master script? [Y/N]
【Anonymized】revised PDF + metadata clean? [Y/N]
【Next step】resubmit via Editorial Manager

© 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-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Jfqa Rebuttal

What does Jfqa Rebuttal do?

A skill your agent uses when planning the strategy and structure for a Journal of Financial and Quantitative Analysis (JFQA) revise-and-resubmit response — point-by-point replies to double-anonymous…. Jfqa Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning the strategy and structure for a Journal of Financial and Quantitative Analysis (JFQA) revise-and-resubmit response — point-by-point replies to double-anonymous referees and the handling Managing Editor, new robustness/identification evidence, and code-archive readiness.

When should I use Jfqa Rebuttal?

Jfqa Rebuttal fits situations like: new robustness/identification evidence; code-archive readiness.

How do I install Jfqa Rebuttal in Claude Code?

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

How do I install Jfqa Rebuttal in Codex?

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

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

What does Jfqa Rebuttal need to run?

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

Does Jfqa 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 Jfqa 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 Jfqa Rebuttal use?

Jfqa 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 Jfqa Rebuttal use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Jfqa Rebuttal?

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