A skill your agent uses when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references…

MITAuto-check passedResearch & Science

Install Psychrev Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-submission --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-submission .claude/skills/psychrev-submission && 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-submission
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
674 words
Files
2
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references…

  • Works in 5 steps: It's an empirical paper (the data is the… → A literature survey / methods-and-design… → A "model" that only redescribes data… → …
  • Running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal
  • SKILL.md covers When to trigger, Pre-submission checklist, Desk-reject triggers to preempt and Editorial Manager operation…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Psychrev Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references, ethics, and (for computational models) sharing the author's own model code. Theory journal; there is no empirical data-availability/replication-package step.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/checklist.md`).

It sits in Research & Science, covering Econometrics and empirical research. 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

  • Running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal
  • APA format and length
  • (for computational models) sharing the authors own model code

Example prompts

  • “/psychrev-submission”

Workflow steps

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

  1. It's an empirical paper (the data is the contribution) — the defining Psychological Review desk-reject.
  2. A literature survey / methods-and-design paper — explicitly out of scope.
  3. A "model" that only redescribes data with free parameters and no falsifiable commitment.
  4. Insufficient theoretical advance — a relabel, a refit, or an incremental extension.
  5. Masking or formatting failures, or over-length with no justification.

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 Submission loads about 1.6k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 674 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
~1.6k

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). 674 words, ~1,643 tokens.

Download SKILL.mdSave it as .claude/skills/psychrev-submission/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
psychrev-submission
description
Use when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references, ethics, and (for computational models) sharing the author's own model code. Theory journal; there is no empirical data-availability/replication-package step.

Pre-Submission Preflight (psychrev-submission)

Psychological Review is a theory journal. There is no experimental dataset or empirical replication package to deposit. The preflight centers on the theory paper's format, masking, APA style, and — for computational models — sharing the author's own model code (not a shared empirical-analysis kit). 检索于 2026-06;以官网为准.

When to trigger

  • "I'm about to submit to Psychological Review"
  • Final check before clicking submit in Editorial Manager
  • Unsure which files the portal expects for a theory/modeling paper

Pre-submission checklist

Scope & fit
  • The paper makes a theoretical contribution (new theory / formal model / synthesis), not an empirical report
  • Data appear only to motivate or constrain the theory; no new experiment is the contribution
  • It enters and evaluates standing theories ("systematic evaluation of alternative theories")
  • Fit confirmed against the current Psychological Review aims & scope (verify on the official page)
Format (verify exact current requirements on the APA author page)
  • APA 7th-edition formatting: double-spaced, 12-pt (e.g., Times New Roman), 1-inch margins (verify edition)
  • Separate title page with all authors, affiliations, ORCID iDs, contact (kept out of the masked body)
  • Abstract ≤ 250 words on a separate page (verify current limit)
  • No fixed upper length, but texts > 15,000 words carry a justification for the length (verify)
  • Equations numbered; figures meet APA resolution/format specs; figures are diagrams/simulations, not experiments
  • Manuscript file in Word / OpenOffice format if the portal requires it (verify)
Masking (anonymous review)
  • No author-identifying content in the manuscript body
    • Self-citations phrased neutrally ("prior work (Author, 2020)"), not "in our earlier paper"
    • Acknowledgments/funding identifiers kept out of the body (added after acceptance)
  • Document file properties scrubbed of author name/affiliation; file names carry no author/institution
References & citations
  • APA 7th author–date in-text citations; full reference list (verify edition; see source map)
  • Every in-text citation appears in the reference list and vice versa
  • The current, strongest form of each rival model is cited (not only its original version)
  • All references are real and accurately quoted (no fabricated or mis-cited sources)
Model code (computational/formal models)
  • The author's own model code (simulation/fitting scripts) prepared for sharing per APA/journal policy
  • Code reproduces the simulation figures and reported fits; parameters and seeds documented
  • A README states language/version, how to run, and what each script produces
  • (This is the model's code, NOT a shared empirical-analysis pipeline — there is no dataset to deposit)
Ethics & originality (APA Ethics Code)
  • Manuscript is original, unpublished, and not under review elsewhere
  • Authorship reflects genuine intellectual contribution; order agreed by all authors
  • Any prior conference/preprint version disclosed as required; AI-assistance disclosed per current policy (verify)
  • Similarity/overlap acceptable and self-overlap disclosed
Show full SKILL.md (255 more words)Show less
Portal files (Editorial Manager)
  • Masked main manuscript (body + figures + references), required format
  • Separate title page with author info and corresponding author
  • Model code / supplemental files if applicable; cover letter if requested
  • Any author-agreement or conflict-of-interest forms the system requires

Desk-reject triggers to preempt

  1. It's an empirical paper (the data is the contribution) — the defining Psychological Review desk-reject.
  2. A literature survey / methods-and-design paper — explicitly out of scope.
  3. A "model" that only redescribes data with free parameters and no falsifiable commitment.
  4. Insufficient theoretical advance — a relabel, a refit, or an incremental extension.
  5. Masking or formatting failures, or over-length with no justification.

Editorial Manager operation notes

  • Psychological Review submits via Editorial Manager (editorialmanager.com/rev — confirm the exact URL; see source map).
  • Enter author metadata only in the system, never in the masked manuscript.
  • Choose the correct article type (Theoretical article vs. Theoretical Note).
  • Fees / open-access (APA Open) options: confirm current policy on the author page — do not assume.

Anti-patterns

  • Submitting a paper whose real contribution is data or method
  • Author identity leaking through "our prior study," acknowledgments, or file properties
  • Reference list missing the current form of the rival models
  • Figures that are experiments (impossible here) or undefined boxes-and-arrows
  • For a computational model, withholding the model code reviewers will ask for

Output format

【Scope】theoretical contribution, data only constrains: yes / fix
【Format】APA 7th / abstract ≤ 250 / length justified if > 15k / figures conceptual: pass / fix
【Masking】body + properties + filenames clean: yes / fix
【References】APA 7th; rivals' current form cited; all real: yes / fix
【Model code】own simulation/fitting code prepared + README (if computational): yes / n-a
【Ethics】original, not under review, authorship correct, AI disclosed: yes / fix
【Portal files】masked MS + title page + code/forms: complete / missing [...]
【Next step】await decision → psychrev-review-process; revise → psychrev-rebuttal

© 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

SKILL.md and 1 other file in Psychological-Review-Skills/skills/psychrev-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Psychrev Submission 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 Submission compared with similar skills
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Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Psychrev Submission

What does Psychrev Submission do?

A skill your agent uses when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references…. Psychrev Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references, ethics, and (for computational models) sharing the author's own model code.

When should I use Psychrev Submission?

Psychrev Submission fits situations like: running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal; APA format and length; (for computational models) sharing the authors own model code.

How do I install Psychrev Submission in Claude Code?

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

How do I install Psychrev Submission in Codex?

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

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

What does Psychrev Submission need to run?

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

Does Psychrev Submission 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 Submission 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 Submission use?

Psychrev Submission 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 Submission use?

About 1.6k tokens (SKILL.md is roughly 6.6k 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 Submission?

Skills that share tags, products or a category with Psychrev Submission: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Psychrev Submission?

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.