A skill your agent uses when you want to understand how Organization Science review and decisions work before or after submitting — the decentralized senior-editor model with strong SE autonomy, the…

MITAuto-check passed

Install Orgsci Review Process

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills orgsci-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/Organization-Science-Skills/skills/orgsci-review-process .claude/skills/orgsci-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
orgsci-review-process
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
499 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when you want to understand how Organization Science review and decisions work before or after submitting — the decentralized senior-editor model with strong SE autonomy, the…

  • You want to understand how Organization Science review and decisions work before
  • SKILL.md covers When to trigger, The decentralized…, What happens to your submission and Reading the decision letter, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • After submitting — the decentralized senior-editor model with strong SE autonomy

What it does

Orgsci Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you want to understand how Organization Science review and decisions work before or after submitting — the decentralized senior-editor model with strong SE autonomy, the conflict-of-interest routing cascade, double-blind submission preparation, and how to read a decision letter at this venue.

Its SKILL.md is about 1.1k 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

  • You want to understand how Organization Science review and decisions work before
  • After submitting — the decentralized senior-editor model with strong SE autonomy
  • The conflict-of-interest routing cascade
  • Double-blind submission preparation

Example prompts

  • “/orgsci-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

Orgsci Review Process loads about 1.1k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 499 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 499 words, ~1,113 tokens.

Download SKILL.mdSave it as .claude/skills/orgsci-review-process/SKILL.md (or your agent's skills folder).
name
orgsci-review-process
description
Use when you want to understand how Organization Science review and decisions work before or after submitting — the decentralized senior-editor model with strong SE autonomy, the conflict-of-interest routing cascade, double-blind submission preparation, and how to read a decision letter at this venue.

Review Process (orgsci-review-process)

When to trigger

  • You are about to submit and want to set expectations
  • You received a decision letter and need to interpret who decided and why
  • You are unsure how Organization Science routing differs from a departmental area-editor journal

The decentralized senior-editor model

Organization Science runs a decentralized model: Senior Editors plus an Editorial Review Board, under Editor-in-Chief Lamar Pierce (Washington University in St. Louis). Each Senior Editor has strong autonomy — an SE can independently accept, reject, or request an R&R. This differs sharply from sister journal Management Science's fixed departmental area-editor routing: here the SE decides your paper, not a department head dispatching to an area editor. Routing follows a conflict-of-interest cascade — the EIC handles deputy-editor submissions and deputy editors handle senior-editor submissions — so editors do not adjudicate their own work.

What happens to your submission

  • Desk review. The EIC/SE can see the cover letter and abstract. An unconvincing contribution, poor fit, transparency gap, or excessive length can produce a desk reject (overlong submissions may be returned with an option to resubmit shorter).
  • Peer review. If sent out, it goes to at least two reviewers; follow the submission guidelines' double-blind preparation rules and keep the main manuscript anonymized. The cover letter is seen by the EIC and SE but not by reviewers.
  • Decision. The SE synthesizes reviews into accept / reject / R&R. First-round accepts are rare; the realistic best early outcome is a major R&R.

Reading the decision letter

  • Identify the decider. The SE letter is binding; reviewer comments are inputs the SE weights — when they differ, the SE's framing governs your revision priorities.
  • Find the core concern. Usually overall contribution, mechanism, or fit — not just method, given the "novelty is neither necessary nor sufficient" stance and the acceptance that causal identification is often impossible.
  • Note the window. The submission guidelines ask authors to resubmit invited revisions within 6 months unless the editor grants an exception.
Show full SKILL.md (180 more words)Show less

Anti-patterns

  • Treating reviewer comments as equal to the SE's verdict and ignoring the SE's prioritization.
  • Expecting area-editor routing or ignoring the 2025 data/methods transparency policy.
  • Assuming a desk return is a rejection when it may be a fixable compliance or length issue.

Review-risk pass for Organization Science

Use this as a second-pass capability check. First lock a level map, a mechanism paragraph, and the cover-letter contribution statement; then test whether the manuscript addresses interdisciplinary organization reviewers who ask whether the mechanism travels across levels of analysis.

  • Primary move: Turn likely reviewer objections into a ledger with response evidence, manuscript location, and the decision-maker who must be convinced first.
  • Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
  • Neighbor test: compare against AMJ for empirical management framing, ASQ for organization-theory depth, Management Science for formal/quantitative operations; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
  • Submission-ready gate: before final advice, re-open resources/official-source-map.md for upload-week rules and name the one live-check item that could change the recommendation.

Output format

【Decider】Senior Editor (autonomous accept/reject/R&R); EIC Lamar Pierce; COI cascade routing
【Stage reached】desk return / desk reject / out for review / R&R / reject
【Core concern】overall contribution / mechanism / fit (method usually secondary)
【SE vs reviewers】whose framing governs the revision
【Window】6-month invited-revision window unless editor grants an exception
【Next step】orgsci-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

Just SKILL.md in Organization-Science-Skills/skills/orgsci-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Orgsci 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.

Orgsci Review Process compared with similar skills
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Understand ExplainEgonex-AI/Understand-Anything86k—~1.3kAutomated safety check: PassMIT
Understanding by Design PlannerTHU-MAIC/OpenMAIC40k—~548Automated safety check: PassMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k—~1.4kAutomated safety check: PassMIT
Understand Issuemastra-ai/mastra29k—~3.1kAutomated safety check: PassCustom licence

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Questions about Orgsci Review Process

What does Orgsci Review Process do?

A skill your agent uses when you want to understand how Organization Science review and decisions work before or after submitting — the decentralized senior-editor model with strong SE autonomy, the…. Orgsci Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you want to understand how Organization Science review and decisions work before or after submitting — the decentralized senior-editor model with strong SE autonomy, the conflict-of-interest routing cascade, double-blind submission preparation, and how to read a decision letter at this venue.

When should I use Orgsci Review Process?

Orgsci Review Process fits situations like: you want to understand how Organization Science review and decisions work before; after submitting — the decentralized senior-editor model with strong SE autonomy; the conflict-of-interest routing cascade; double-blind submission preparation.

How do I install Orgsci Review Process in Claude Code?

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

How do I install Orgsci Review Process in Codex?

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

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

What does Orgsci Review Process need to run?

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

Does Orgsci 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 Orgsci 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 Orgsci Review Process use?

Orgsci 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 Orgsci Review Process use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Orgsci Review Process?

Skills that share tags, products or a category with Orgsci Review Process: Video Understand (calesthio/OpenMontage, 66k stars), Understand Explain (Egonex-AI/Understand-Anything, 86k stars), Understanding by Design Planner (THU-MAIC/OpenMAIC, 40k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Orgsci Review Process?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.