A skill your agent uses when understanding or planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen, single-anonymized refereeing with a…

MITAuto-check passed

Install Red Review Process

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

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

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

At a glance

A skill your agent uses when understanding or planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen, single-anonymized refereeing with a…

  • Planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen
  • SKILL.md covers When to trigger, How RED review works (verified), Planning implications and Pre-review readiness, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Single-anonymized refereeing with a minimum of two reviewers

What it does

Red Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when understanding or planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen, single-anonymized refereeing with a minimum of two reviewers, and RED's fast-review orientation without promising a fixed decision date. Sets expectations and timelines; it is not the submission preflight (see red-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.

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

  • Planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen
  • Single-anonymized refereeing with a minimum of two reviewers
  • REDs fast-review orientation without promising a fixed decision date

Example prompts

  • “/red-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

Red Review Process loads about 1.3k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 560 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
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). 560 words, ~1,299 tokens.

Download SKILL.mdSave it as .claude/skills/red-review-process/SKILL.md (or your agent's skills folder).
name
red-review-process
description
Use when understanding or planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen, single-anonymized refereeing with a minimum of two reviewers, and RED's fast-review orientation without promising a fixed decision date. Sets expectations and timelines; it is not the submission preflight (see red-submission).

Review Process at RED (red-review-process)

When to trigger

  • Setting expectations on timing and review model before or after submitting
  • Understanding what the desk screen decides and what reaches referees
  • Planning around the single-anonymized (not double-blind) model

How RED review works (verified)

  • Desk / suitability screen first. The editor first assesses whether the paper is suitable for RED; papers that pass are sent out for review. A clean, in-scope, dynamic-model paper clears this faster.
  • Single-anonymized review. Reviewers' identities are concealed from authors, but author identities are visible to reviewers — this is not double-blind, so you do not anonymize the manuscript.
  • Minimum of two reviewers. Suitable papers go to at least two independent referees.
  • Speed is a feature, not a guarantee. The current reviewer page asks reviewers to notify the editor if they cannot act within six weeks, and older SED newsletters report fast first-decision performance. Treat this as planning guidance, then confirm live expectations in the current author system.
  • Coordinating Editor. Loukas Karabarbounis (University of Minnesota / Minneapolis Fed) is RED's Coordinating Editor (the editor-in-chief equivalent), cross-checked on SED and ScienceDirect pages.

Planning implications

  • Single-anonymized means keep self-citations and acknowledgments natural — no double-blind scrubbing.
  • The fast-turnaround target rewards a complete, runnable submission with replication discipline already in place; do not submit a paper whose code archive does not yet exist.
  • Plan around a post-desk clock that starts only after the suitability screen and the fee.

Pre-review readiness

Before submission, stage the same materials you would need for a fast R&R:

  • model equations and calibration table are internally consistent;
  • code archive can rerun baseline and counterfactual exhibits;
  • untargeted moments or accuracy diagnostics are available;
  • the abstract names the dynamic mechanism and quantitative result;
  • any proprietary data or large-runtime issue is documented.

Checklist

  • Manuscript is not anonymized (single-anonymized model)
  • Paper is in-scope and complete enough to clear the desk screen quickly
  • Expectations set for ≥2 referees and live post-desk timing guidance
  • Replication materials staged so a fast acceptance is not bottlenecked
Show full SKILL.md (234 more words)Show less

Anti-patterns

  • Double-blind-scrubbing a manuscript for a single-anonymized journal
  • Treating an older turnaround statistic as a guaranteed current deadline
  • Treating slow-journal habits (thin appendix, no code) as acceptable here

What fails the suitability screen

Patterns that plausibly stop a quantitative-macro paper at the desk (hedged — the screen is editor judgment, not a published rubric):

Desk-risk patternWhy it fails the RED lens
Static cross-sectional analysis, no dynamic modelscope is method-defined; no dynamics, no fit
Reduced-form policy evaluation with a token "model sketch"the model must carry the argument, not decorate it
Calibration exercise reproducing known results with newer datano mechanism, method, or moment advance
Pure econometric theory with no dynamic-economics objectbelongs at an econometrics outlet
Incomplete computation ("results to be added", no accuracy info)the fast-review model presumes a finished quantitative core

Round log

text
ROUND LOG — [paper short title]
  Submitted (fee received):  [date]   ← clock starts after fee + desk
  Desk decision:             [date]   suitable / not suitable
  Referee reports expected:  [live guidance / historical fast-review benchmark]
  Decision:                  [date]   reject / R&R / accept
  If R&R — archive rerun:    [date]   resubmission fee: exempt (2nd+ resubmission)

Keep this log in the project repository; it disciplines the team's expectations and gives a polite status query an objective trigger — confirm current expected turnaround against the journal's current author guidelines before quoting any figure to the editor.

Who referees at a SED journal

Expect referees drawn from the SED-conference community: people who solve heterogeneous-agent and business-cycle models themselves. Plan for reports that probe grids, Euler-equation accuracy, calibration circularity, and counterfactual logic rather than only framing — which is why the pre-review staging list above doubles as referee-proofing.

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

Just SKILL.md in Review-of-Economic-Dynamics-Skills/skills/red-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Red 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.

Red Review Process compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Red Review Process this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
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Dynamic Workflow Modeaffaan-m/ECC276k1 repos~1.3kAutomated safety check: PassMIT
Video Understandcalesthio/OpenMontage66k—~841Automated safety check: PassAGPL-3.0
Molecular DynamicsK-Dense-AI/scientific-agent-skills48k1 repos~4.7kAutomated safety check: PassMIT
Dynamic WorkflowNousResearch/hermes-agent252k—~2.8kAutomated safety check: PassMIT

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Questions about Red Review Process

What does Red Review Process do?

A skill your agent uses when understanding or planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen, single-anonymized refereeing with a…. Red Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when understanding or planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen, single-anonymized refereeing with a minimum of two reviewers, and RED's fast-review orientation without promising a fixed decision date.

When should I use Red Review Process?

Red Review Process fits situations like: planning around the Review of Economic Dynamics (RED) editorial process — the editor desk/suitability screen; single-anonymized refereeing with a minimum of two reviewers; REDs fast-review orientation without promising a fixed decision date.

How do I install Red Review Process in Claude Code?

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

How do I install Red Review Process in Codex?

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

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

What does Red Review Process need to run?

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

Does Red 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 Red 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 Red Review Process use?

Red 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 Red 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 Red Review Process?

Skills that share tags, products or a category with Red Review Process: Review Of Economic Dynamics (franklee16/academic-research-skills, 223 stars), Dynamic Workflow Mode (affaan-m/ECC, 276k stars), Video Understand (calesthio/OpenMontage, 66k stars) and Molecular Dynamics (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Red 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.