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Agent skill

Cogpsych Submission

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

A skill your agent uses when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting…

MITAuto-check passed

Install Cogpsych Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-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/Cognitive-Psychology-Skills/skills/cogpsych-submission .claude/skills/cogpsych-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
cogpsych-submission
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
578 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 Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting…

  • Running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit
  • SKILL.md covers When to trigger, Process facts (verify volatile…, Preflight checklist and Worked micro-example —…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Abstract and keywords

What it does

Cogpsych Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting, model-comparison completeness, reproducible model/analysis code, and the Elsevier research-data and competing-interest declarations. Final checks; it does not draft content. Verify volatile specifics on the official guide for authors.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/checklist.md`).

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 Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit
  • Abstract and keywords
  • APA-style reporting
  • Model-comparison completeness

Example prompts

  • “/cogpsych-submission”

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

Cogpsych Submission loads about 1.7k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 578 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 578 words, ~1,689 tokens.

Download SKILL.mdSave it as .claude/skills/cogpsych-submission/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
cogpsych-submission
description
Use when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting, model-comparison completeness, reproducible model/analysis code, and the Elsevier research-data and competing-interest declarations. Final checks; it does not draft content. Verify volatile specifics on the official guide for authors.

Submission Preflight (cogpsych-submission)

The last check before submitting through Elsevier Editorial Manager. Two things sink Cognitive Psychology submissions most often: a wrong-shape contribution (single effect, no model/theory, or a model that is never compared) and non-reproducible modeling (fits that can't be regenerated, no code deposit). Verify volatile specifics (length, abstract limit, review model, current editor, declarations) on the official guide for authors first (检索于 2026-06；以官网为准).

When to trigger

  • "Submitting tomorrow" — last pass before upload
  • Unsure what the scope, format, and declaration requirements demand
  • Confirming the abstract, exhibits, model comparison, code deposit, and declarations are in order

Process facts (verify volatile items on the official page)

  • Owner / publisher: Elsevier. (检索于 2026-06；以官网为准)
  • Portal: Elsevier Editorial Manager (linked from the ScienceDirect guide for authors).
  • Identity: a leading cognitive-science journal favoring longer, integrative, model-driven articles; multi-experiment programs combined with formal/computational modeling.
  • Scope: attention, perception, memory, learning, language, categorization, reasoning, problem-solving, judgment and decision-making; modeling/neuroscientific approaches and substantive reviews welcome.
  • Style: APA-style statistical reporting and references; Elsevier formatting via the guide for authors. Confirm the current reference style and any structured-abstract requirement.
  • Open science: authors are strongly encouraged to share data, model/analysis code, and materials; complete the Elsevier research-data statement and declaration of competing interest.
  • Review model / length / abstract limits: volatile — confirm single- vs. double-anonymized review, any word/length guidance, and the abstract limit on the live page. 待核实.

Preflight checklist

Scope & shape
  • Contribution is a theoretical advance carried by a program (multi-experiment and/or a model)
  • If a model is central, it is fit and compared to a rival under matched flexibility
  • Not a single-effect / atheoretical paper better suited to a short-report venue
Front matter & format
  • Abstract present (confirm length/structure on the official page); keywords included
  • APA-style statistics (effect sizes + intervals; model-comparison criteria) and references
  • Exhibits show observed data + model fit (not bars of means); model-comparison table included
  • Manuscript follows Elsevier formatting/section conventions per the guide for authors
Modeling & disclosure
  • Model comparison reported (AIC/BIC/BF or cross-validation) with free-parameter counts
  • Parameter + model recovery reported
  • Mixed/hierarchical structure where the design demands it, with diagnostics
  • Confirmatory vs. exploratory clearly separated
Show full SKILL.md (237 more words)Show less
Open science & declarations
  • Data deposited + DOI + codebook (or justified restriction)
  • Model/analysis code deposited; fits regenerate in a fresh session (run log)
  • Materials deposited + DOI
  • Elsevier research-data statement + competing-interest declaration + funding/contributions
  • Preregistration linked where applicable

Worked micro-example — preflight verdict (illustrative)

Running the recognition-memory program through the gate the night before upload:

Shape:      3 experiments + UVSD vs. DPSD comparison → theoretical advance → PASS
Model:      both models fit (matched flexibility); dBIC + BF reported;
            parameter + model recovery included → PASS
Hierarchy:  hierarchical Bayesian; R-hat ~ 1.00, ESS adequate → PASS
Exhibits:   z-ROC figure overlays observed data + both model curves; model-
            comparison table with free-parameter counts → PASS
Open sci:   data + model code + materials each have a DOI; fits regenerate
            in a fresh session (run log attached) → PASS
Declarations: competing interest (none) + research-data statement + funding
            completed in Editorial Manager → PASS
Verdict:    ready to upload to Editorial Manager.

Last-mile failure modes that trigger a return

FailureCaught byQuick fix
Model fit but never comparedscope/shape checkfit the rival; add the comparison table
Fits don't regenerate from codereproducibility checkdeposit seeded code + a fresh-session run log
Bars of means, no model overlayexhibit checkredraw with observed data + model fit
"Data on request" instead of a DOIopen-science checkdeposit and mint a persistent identifier
Competing-interest/data statement blankdeclaration checkcomplete the Elsevier declarations before upload

Volatile specifics (length guidance, abstract limit, review model, current editor, exact declarations) change. Re-confirm every item above against the journal's current guide for authors before relying on it (检索于 2026-06；以官网为准).

Anti-patterns

  • Submitting a single-effect/atheoretical paper to a model-driven, long-form venue
  • A central model that is fit but never compared to a rival
  • Modeling that cannot be reproduced from the deposited code
  • Exhibits that hide the fit (bars of means) or assert "best fit" with no table
  • Missing Elsevier research-data / competing-interest declarations

Output format

【Shape】theoretical advance via a program; model fit + compared? [Y/N]
【Format】abstract + keywords + APA-style reporting + Elsevier formatting? [Y/N]
【Modeling】comparison + recovery + hierarchy + diagnostics? [Y/N]
【Open science】data + model code (reproducible) + materials + DOIs? [Y/N]
【Declarations】competing interest + research-data + funding? [Y/N]
【Next】await decision → cogpsych-rebuttal on revision

Supplementary resources

© 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 Cognitive-Psychology-Skills/skills/cogpsych-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Cognitive Patternruvnet/ruflo74k—~384Automated safety check: NotesMIT
Running CI PreflightPostHog/posthog40k—~1.5kAutomated safety check: PassCustom licence
Finalize Agent Promptgithub/awesome-copilot40k1 repos~224Automated safety check: PassMIT
Azure Deployment Preflightgithub/awesome-copilot40k1 repos~1.9kAutomated safety check: PassMIT

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Questions about Cogpsych Submission

What does Cogpsych Submission do?

A skill your agent uses when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting…. Cogpsych Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting, model-comparison completeness, reproducible model/analysis code, and the Elsevier research-data and competing-interest declarations.

When should I use Cogpsych Submission?

Cogpsych Submission fits situations like: running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit; abstract and keywords; APA-style reporting; model-comparison completeness.

How do I install Cogpsych Submission in Claude Code?

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

How do I install Cogpsych Submission in Codex?

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

Can I use Cogpsych 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 cogpsych-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/cogpsych-submission, .gemini/skills/cogpsych-submission, .github/skills/cogpsych-submission and .opencode/skills/cogpsych-submission in your project.

What does Cogpsych Submission need to run?

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

Does Cogpsych 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 Cogpsych 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 Cogpsych Submission use?

Cogpsych 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 Cogpsych Submission use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Cogpsych Submission?

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Who maintains Cogpsych 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.