Agent skill

Psychrev Review Process

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs.

MITAuto-check passedResearch & Science

Install Psychrev Review Process

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

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

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

At a glance

A skill your agent uses when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs.

  • Anticipating how a Psychological Review manuscript will be evaluated — masked peer review
  • SKILL.md covers When to trigger, How Psychological Review is…, Article types (confirm current… and What reviewers at a theory…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The kinds of decisions

What it does

Psychrev Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs. Theoretical Note), and what reviewers at a theory journal actually probe. Explains the process; it does NOT write the response document (that is psychrev-rebuttal) or run the submission preflight (psychrev-submission).

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

  • Anticipating how a Psychological Review manuscript will be evaluated — masked peer review
  • The kinds of decisions
  • Article types (full article vs

Example prompts

  • “/psychrev-review-process”

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 Review Process loads about 1.3k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 537 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
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). 537 words, ~1,299 tokens.

Download SKILL.mdSave it as .claude/skills/psychrev-review-process/SKILL.md (or your agent's skills folder).
name
psychrev-review-process
description
Use when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs. Theoretical Note), and what reviewers at a theory journal actually probe. Explains the process; it does NOT write the response document (that is psychrev-rebuttal) or run the submission preflight (psychrev-submission).

Understanding the Review Process (psychrev-review-process)

When to trigger

  • Before submitting, to understand what you are walking into
  • A decision letter has arrived and you must read it correctly before responding
  • You are unsure whether your piece is a full article or a Theoretical Note
  • You want to anticipate the theory-specific objections reviewers will raise

How Psychological Review is reviewed

  • Masked (anonymous) peer review. Manuscripts are fully anonymized so the body carries no author-identifying content; the title page (authors, affiliations, ORCID, contact) is separate. (Verify current masking policy on the author page; 检索于 2026-06;以官网为准.)
  • Handled through Editorial Manager (editorialmanager.com/rev, 检索于 2026-06;以官网为准).
  • Reviewers are drawn from the modeling/theory tradition you enter — typically proponents or critics of the rival models you must beat. Positioning honestly (psychrev-literature-positioning) matters precisely because the rivals' authors may review you.
  • The editor (currently Elena L. Grigorenko, PhD, editor since 2022; web-verified 2026-06-22, re-verify before relying) makes the call, weighing whether the theoretical contribution is genuine and general.

Article types (confirm current list on the author page)

  • Theoretical articles — the main vehicle: a new theory/model, a formal account, or a major synthesis that yields new theory. No upper length bound, but texts over 15,000 words must be justified (检索于 2026-06;以官网为准).
  • Theoretical Notes — shorter commentaries that advance a subfield: critiques of a theoretical approach, discussions of published work, or meta-theoretical argument. Pick this type when your contribution is a focused theoretical point, not a full new model.
  • Replications are publishable only when relevant to / embedded in new or enhanced theory, and should be mentioned in the abstract (检索于 2026-06;以官网为准).

What reviewers at a theory journal actually probe

Reviewer questionWhere you should have answered it
Is this theory or a disguised empirical paper?psychrev-topic-selection
Which standing models does it beat, and fairly?psychrev-literature-positioning
Are the assumptions explicit and the mechanism real?psychrev-theory-construction
Do the predictions follow, and could they be wrong?psychrev-argument-development
Is the model identifiable; does a rival mimic it?psychrev-boundary-conditions
Is the advance new, or a relabel / better fit?psychrev-contribution-framing
For computational models: is the code available?psychrev-submission
Show full SKILL.md (197 more words)Show less

Decision types (typical scholarly-journal ladder; confirm specifics)

  • Reject (often desk-level for empirical papers or insufficient theoretical advance)
  • Major revision — the common "promising" outcome; the bar rises across rounds
  • Minor revision — rare on a first decision for a theory paper
  • Accept — usually only after one or more revision rounds

Multiple rounds are normal at a theory journal; treat a major revision as an invitation to strengthen the theory itself, not merely to answer comments.

Checklist

  • Manuscript fully anonymized for masked review; separate title page prepared
  • Correct article type chosen (full theoretical article vs. Theoretical Note)
  • Anticipated reviewer objections mapped to the skill that should have addressed them
  • If computational: model code prepared for sharing (see psychrev-submission)
  • Decision letter (if any) read for the theoretical asks, not just surface edits

Anti-patterns

  • Assuming a single round; the bar rises as the theory is pushed harder
  • Treating reviewers as outsiders — they are often the rival modelers themselves
  • Choosing a full article when the contribution is really a Theoretical Note (or vice versa)
  • Reading a major revision as a list of edits rather than a mandate to strengthen the theory
  • Leaving identifiability or rival-mimicry unaddressed and hoping reviewers miss it

Output format

【Review model】masked; Editorial Manager; reviewers from the rival tradition
【Article type】theoretical article | Theoretical Note (+ length justification if > limit)
【Anticipated objections】[objection → skill that addresses it] (table)
【Decision read】[if letter present: the theoretical asks beneath the comments]
【Next step】psychrev-submission (preflight) or psychrev-rebuttal (after a revise decision)

© 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-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Psychrev Review Process 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.

Psychrev Review Process compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Psychrev Review Process 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

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Questions about Psychrev Review Process

What does Psychrev Review Process do?

A skill your agent uses when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs. Psychrev Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs.

When should I use Psychrev Review Process?

Psychrev Review Process fits situations like: anticipating how a Psychological Review manuscript will be evaluated — masked peer review; the kinds of decisions; article types (full article vs.

How do I install Psychrev Review Process in Claude Code?

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

How do I install Psychrev Review Process in Codex?

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

Can I use Psychrev Review Process 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-review-process -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-review-process, .gemini/skills/psychrev-review-process, .github/skills/psychrev-review-process and .opencode/skills/psychrev-review-process in your project.

What does Psychrev Review Process need to run?

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

Does Psychrev Review Process 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 Review Process 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 Review Process use?

Psychrev Review Process 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 Review Process use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Review Process?

Skills that share tags, products or a category with Psychrev Review Process: 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 Review Process?

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.