Agent skill

Cogpsych Review Process

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

Install Cogpsych Review Process

skills CLI

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

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-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/Cognitive-Psychology-Skills/skills/cogpsych-review-process .claude/skills/cogpsych-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/

Paste into Claude Code

Install the "cogpsych-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process into .claude/skills/cogpsych-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-review-process", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-review-process -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-review-process --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-review-process .agents/skills/cogpsych-review-process && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "cogpsych-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process into .agents/skills/cogpsych-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-review-process", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-review-process -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-review-process --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-review-process .cursor/skills/cogpsych-review-process && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "cogpsych-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process into .cursor/skills/cogpsych-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-review-process", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Cognitive-Psychology-Skills/skills/cogpsych-review-process

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-review-process -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-review-process --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-review-process .gemini/skills/cogpsych-review-process && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "cogpsych-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process into .gemini/skills/cogpsych-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-review-process", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-review-process

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-review-process -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-review-process .github/skills/cogpsych-review-process && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "cogpsych-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process into .github/skills/cogpsych-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-review-process", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-review-process -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-review-process --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-review-process .opencode/skills/cogpsych-review-process && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "cogpsych-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-review-process into .opencode/skills/cogpsych-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-review-process", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: cogpsych-review-process
GitHub stars: 1.2k
Token cost: ~1.6k tokens
SKILL.md length: 554 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 4 steps: Editorial triage. A handling editor… → Expert peer review. Typically multiple… → Reproducibility is checked. Reviewers… → …
You need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit
SKILL.md covers When to trigger, How review works (typical…, Shape the paper to pass and Desk-reject and…, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cogpsych Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit, expert review weighing model rigor, recovery, design, and reproducibility, and the long revision cycles typical of a model-driven journal. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors.

Its SKILL.md is about 1.6k 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 Reproducible research and Load testing. 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

You need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit
Expert review weighing model rigor
Reproducibility
The long revision cycles typical of a model-driven journal

Example prompts

“/cogpsych-review-process”

Workflow steps

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

Editorial triage. A handling editor assesses theoretical impact, scope, and fit; thin,
Expert peer review. Typically multiple referees with cognitive-modeling and experimental
Reproducibility is checked. Reviewers may attempt to run model/analysis code; fits that don't
Decisions and cycles. Reject, major/minor revision, or accept; integrative model-driven papers

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 Review Process loads about 1.6k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~119
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). 554 words, ~1,554 tokens.

Download SKILL.mdSave it as .claude/skills/cogpsych-review-process/SKILL.md (or your agent's skills folder).

name: cogpsych-review-process
description: Use when you need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit, expert review weighing model rigor, recovery, design, and reproducibility, and the long revision cycles typical of a model-driven journal. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors.

Review Process (cogpsych-review-process)

Cognitive Psychology combines selectivity for theoretical impact with deep methodological and modeling scrutiny. Reviewers and editors weigh not only whether the finding is interesting, but whether the model is well-specified, identifiable, and properly compared, whether the experiments discriminate the accounts, and whether the work is reproducible. Knowing this lets you pre-empt the common rejection reasons. Confirm the current process on the official page (检索于 2026-06；以官网为准).

When to trigger

Before submitting, to stress-test the manuscript
Interpreting a decision letter and setting expectations
Deciding how to fit a long, model-driven program to a demanding review

How review works (typical Elsevier journal pattern)

Editorial triage. A handling editor assesses theoretical impact, scope, and fit; thin, single-effect, or atheoretical submissions may be rejected without external review at this long-form, model-driven venue.
Expert peer review. Typically multiple referees with cognitive-modeling and experimental expertise. Expect detailed scrutiny of model specification, identifiability/recovery, model comparison, experimental confounds, and the strength of the inference.
Reproducibility is checked. Reviewers may attempt to run model/analysis code; fits that don't regenerate, or undocumented model choices, weaken the paper (see cogpsych-open-science-and-transparency).
Decisions and cycles. Reject, major/minor revision, or accept; integrative model-driven papers often go through substantial, sometimes multiple, revision rounds — added experiments, recovery analyses, or model comparisons are common requests.

Verify the review model (single- vs. double-anonymized), referee count, and timelines on the journal's current guide for authors — these are volatile (检索于 2026-06；以官网为准).

Shape the paper to pass

Make the theoretical advance explicit and early; show the experiments discriminate the models.
Fit and compare models under matched flexibility; include parameter and model recovery.
Respect the data hierarchy (mixed/hierarchical models) and report effect sizes with intervals.
Make the modeling reproducible from deposited code; complete Elsevier declarations.
Separate confirmatory from exploratory model work honestly.

Show full SKILL.md (258 more words)Show less

Desk-reject and decline-without-review patterns

The long-form, model-driven identity means many submissions never reach external review. Recognize these shapes and pre-empt them:

Pattern an editor sees	Likely outcome	Pre-empt it by
One experiment, one effect, no model/theory	desk reject (wrong shape)	grow into a model-driven program or place in a short-report venue
Model fit but never compared to a rival	major revision or reject	fit rivals under matched flexibility; report criteria
Experiments don't discriminate the accounts	reject (non-diagnostic)	redesign for the discriminating signature
Aggregated analyses, ignored subject/item variance	methods flag	refit with mixed/hierarchical models
Fits not reproducible; no code	reproducibility flag	deposit seeded model code with a run log
Better-fitting but more flexible model claimed as winner	overfitting flag	add recovery + penalized comparison/cross-validation

Worked micro-example (illustrative triage)

Manuscript: three preregistered recognition-memory experiments; UVSD vs.
            DPSD fit and compared (hierarchical Bayesian), recovery reported,
            open data + model code with DOIs, diagnostic z-ROC signature.
Editor read: theoretical impact (adjudicates a long-running debate), modeling
            rigor (comparison + recovery), reproducibility (code regenerates).
Likely route: external review, probable major revision for added robustness
            (alternative priors, a further model, more recovery).
Counter-case: same effect, one experiment, one model fit, request-only data,
            no recovery → likely declined without full review.

How reviewers weigh the evidence (calibration anchors)

The strongest signal is a diagnostic experiment + a recovered, compared model that together pick one account over a real rival — this converts "interesting fit" into "credible adjudication."
Reviewers distrust a fit advantage without recovery and matched flexibility; a crossed qualitative prediction is more persuasive than a smaller AIC.
Reproducibility is part of the evidence, not a formality; a fit that doesn't regenerate reads as a result that might not exist.

Anti-patterns

A single-effect, atheoretical submission expecting full review at a model-driven venue
A model fit with no rival, no comparison, and no recovery
Aggregated analyses that ignore crossed subject/item variance
Expecting acceptance without a substantial, modeling-heavy revision round
Irreproducible fits or undocumented model choices

Output format

【Theoretical advance】clear early? [Y/N]
【Discrimination】do experiments separate the models? [Y/N]
【Modeling rigor】comparison + recovery + matched flexibility? [Y/N]
【Hierarchy + reporting】mixed/hierarchical + effect sizes/intervals? [Y/N]
【Reproducible】model code regenerates fits? [Y/N]
【Realistic outcome】reject / major revision / minor revision / accept
【Next】cogpsych-submission (or cogpsych-rebuttal if decided)

Supplementary resources

../../resources/official-source-map.md — review model, scope, and reproducibility expectations

Files

Just SKILL.md in Cognitive-Psychology-Skills/skills/cogpsych-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Cogpsych 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.

Cogpsych Review Process compared with similar skills
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Paper ReviewEvoScientist/EvoSkills	478	—	~4.5k	Automated safety check: Pass	Apache-2.0	10 days ago
Data Finderbrycewang-stanford/Auto-Empirical-Research-Skills	4.6k	—	~1.7k	Automated safety check: Pass	Custom licence	5 days ago

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Questions about Cogpsych Review Process

What does Cogpsych Review Process do?

A skill your agent uses when you need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit, expert review weighing model rigor…. Cogpsych Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit, expert review weighing model rigor, recovery, design, and reproducibility, and the long revision cycles typical of a model-driven journal.

When should I use Cogpsych Review Process?

Cogpsych Review Process fits situations like: you need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit; expert review weighing model rigor; reproducibility; the long revision cycles typical of a model-driven journal.

How do I install Cogpsych Review Process in Claude Code?

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

How do I install Cogpsych Review Process in Codex?

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

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

What does Cogpsych Review Process need to run?

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

Does Cogpsych 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 Cogpsych 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 Cogpsych Review Process use?

Cogpsych 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 Cogpsych Review Process use?

About 1.6k tokens (SKILL.md is roughly 6.2k 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 Cogpsych Review Process?

Skills that share tags, products or a category with Cogpsych Review Process: Review Paper (pedrohcgs/claude-code-my-workflow, 1.7k stars), Light Experiment Coding (Light0305/Light-skills, 640 stars), What If Oracle (K-Dense-AI/scientific-agent-skills, 48k stars) and Paper Review (EvoScientist/EvoSkills, 478 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cogpsych 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.

Install Cogpsych Review Process

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Review Process (cogpsych-review-process)

When to trigger

How review works (typical Elsevier journal pattern)

Shape the paper to pass

Desk-reject and decline-without-review patterns

Worked micro-example (illustrative triage)

How reviewers weigh the evidence (calibration anchors)

Anti-patterns

Output format

Supplementary resources

Files

Compare with similar skills

Similar skills

More from brycewang-stanford/Awesome-Journal-Skills

Related

Questions about Cogpsych Review Process