A skill your agent uses when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory.

MITAuto-check passedResearch & Science

Install Psychrev Rebuttal

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-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/Psychological-Review-Skills/skills/psychrev-rebuttal .claude/skills/psychrev-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
psychrev-rebuttal
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
534 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory.

  • Works in 5 steps: Open with the substantive changes, not… → Point-by-point, quoting each comment,… → Show the theory changed. For a theory… → …
  • A Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory
  • SKILL.md covers When to trigger, Read the letter for the…, Building the response document and Tone and discipline, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Psychrev Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory. Drafts the response and revision plan; it does NOT run the resubmission preflight (psychrev-submission) or build new theory from scratch (psychrev-theory-construction).

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

  • A Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory
  • Tasks that involve Peer review

Example prompts

  • “/psychrev-rebuttal”

Workflow steps

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

  1. Open with the substantive changes, not gratitude boilerplate: a short paragraph naming
  2. Point-by-point, quoting each comment, then: what you changed, where (section/figure/eq.
  3. Show the theory changed. For a theory journal, "we clarified the wording" rarely
  4. Concede on your own terms. Where a reviewer is right that the model cannot do Y, fold Y
  5. Disagree carefully. You may push back on a rival-modeler reviewer, but only with a

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

Psychrev Rebuttal loads about 1.3k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 534 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
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). 534 words, ~1,271 tokens.

Download SKILL.mdSave it as .claude/skills/psychrev-rebuttal/SKILL.md (or your agent's skills folder).
name
psychrev-rebuttal
description
Use when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory. Drafts the response and revision plan; it does NOT run the resubmission preflight (psychrev-submission) or build new theory from scratch (psychrev-theory-construction).

Revision & Response Document (psychrev-rebuttal)

Write the response after the theory has actually been revised. At a theory journal a response that argues rather than strengthens the model fails. Revise first, then document.

When to trigger

  • A major/minor revision decision has arrived
  • You have reviewer comments and must produce a point-by-point response
  • You are tempted to defend the model rather than improve it
  • You must decide which asks change the theory and which are presentation

Read the letter for the theory, not the edits

Reviewers at Psychological Review are usually proponents or critics of the rival models. Their comments encode theoretical demands beneath the surface wording. Before drafting, classify every comment:

Comment encodes...Response strategy
"Your model is the same as [rival]"Sharpen subsumption/differentiation; show the limiting case (psychrev-contribution-framing)
"How do you know this prediction follows?"Add/strengthen the derivation (psychrev-argument-development)
"Couldn't a simpler account do this?"Add the head-to-head on a diagnostic phenomenon
"Is this parameter identifiable?"Add parameter-recovery simulation (psychrev-boundary-conditions)
"The model explains too much"State scope and a breakdown regime
"What would falsify it?"Add a risky novel prediction
"This reads as empirical / out of scope"Reframe so data only constrain; re-establish fit

Building the response document

  1. Open with the substantive changes, not gratitude boilerplate: a short paragraph naming the two or three ways the theory is now stronger (new derivation, identifiability analysis, scope statement, head-to-head comparison).
  2. Point-by-point, quoting each comment, then: what you changed, where (section/figure/eq. number), and — only where you genuinely disagree — a respectful, evidence-based rebuttal.
  3. Show the theory changed. For a theory journal, "we clarified the wording" rarely suffices when the comment was about the model; point to the new derivation, simulation, or scope statement.
  4. Concede on your own terms. Where a reviewer is right that the model cannot do Y, fold Y into the boundary conditions as a stated limit rather than over-reaching to cover it.
  5. Disagree carefully. You may push back on a rival-modeler reviewer, but only with a derivation or a diagnostic comparison — never with assertion. Make the editor's adjudication easy.
Show full SKILL.md (191 more words)Show less

Tone and discipline

  • Respectful, specific, and concrete — every claim of "we revised" carries a location.
  • Never dismissive of the rival models the reviewers represent.
  • Track changes / a clearly marked revised manuscript accompanies the response (per portal).
  • If two reviewers conflict, surface the conflict for the editor and state your principled choice.

Checklist

  • Every reviewer comment addressed point-by-point, quoted, with a located change
  • Each theoretical ask answered with a theory change (derivation/simulation/scope), not just wording
  • Disagreements backed by derivation or diagnostic comparison, never bare assertion
  • Concessions folded into boundary conditions rather than over-reaching
  • Conflicting reviewer demands surfaced for the editor with a principled resolution
  • A summary of the main strengthening opens the document
  • Revised manuscript marked (track changes) and consistent with the response

Anti-patterns

  • Arguing the model is fine instead of strengthening it (fatal at a theory journal)
  • "We thank the reviewer" boilerplate with no located change
  • Defending against a rival-modeler reviewer by assertion rather than derivation
  • Over-reaching to cover a phenomenon a reviewer rightly flagged, instead of bounding it
  • Cosmetic edits in response to a substantive theoretical objection
  • Ignoring a reviewer conflict and hoping the editor does not notice

Output format

【Summary of strengthening】[2–3 ways the theory is now stronger]
【Point-by-point】[comment → change made → location | or reasoned rebuttal with derivation]
【Theory changes】[new derivations / simulations / scope statements added]
【Concessions】[phenomena now bounded out, on our terms]
【Editor notes】[any reviewer conflicts surfaced + principled choice]
【Next step】psychrev-submission (resubmission preflight)

© 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 Psychological-Review-Skills/skills/psychrev-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Psychrev 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.

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Questions about Psychrev Rebuttal

What does Psychrev Rebuttal do?

A skill your agent uses when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory. Psychrev Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory.

When should I use Psychrev Rebuttal?

Psychrev Rebuttal fits situations like: A Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory; tasks that involve Peer review.

How do I install Psychrev Rebuttal in Claude Code?

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

How do I install Psychrev Rebuttal in Codex?

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

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

What does Psychrev Rebuttal need to run?

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

Does Psychrev 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 Psychrev 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 Psychrev Rebuttal use?

Psychrev 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 Psychrev Rebuttal use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Psychrev Rebuttal?

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