A skill your agent uses when calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast, first-round-decision culture, double-blind process, the RAST Conference…

MITAuto-check passedBusiness, Finance & HR

Install Revacc Review Process

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

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

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

At a glance

A skill your agent uses when calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast, first-round-decision culture, double-blind process, the RAST Conference…

  • Works in 4 steps: Confirm the paper is near-final before… → Set internal expectations: a fast… → Decide the conference-vs-regular path… → …
  • Calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast
  • SKILL.md covers When to trigger, RAST's distinguishing process…, The RAST Conference path and When a sibling fits the…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Revacc Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast, first-round-decision culture, double-blind process, the RAST Conference path, and when to consider a sibling venue. Sets expectations and strategy; it does not run the submission preflight (revacc-submission) or draft the response letter (revacc-rebuttal).

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.

It sits in Business, Finance & HR, covering Accounting and bookkeeping. 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

  • Calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast
  • First-round-decision culture
  • Double-blind process
  • The RAST Conference path

Example prompts

  • “/revacc-review-process”

Workflow steps

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

  1. Confirm the paper is near-final before submitting — the first-round-decision norm is unforgiving of half-built work.
  2. Set internal expectations: a fast decision, possibly terse; an R&R is good news.
  3. Decide the conference-vs-regular path deliberately.
  4. Pre-stage the response-letter workflow (revacc-rebuttal) only if an R&R arrives — do not pre-write it.

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

Revacc Review Process loads about 1.3k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 594 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). 594 words, ~1,255 tokens.

Download SKILL.mdSave it as .claude/skills/revacc-review-process/SKILL.md (or your agent's skills folder).
name
revacc-review-process
description
Use when calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast, first-round-decision culture, double-blind process, the RAST Conference path, and when to consider a sibling venue. Sets expectations and strategy; it does not run the submission preflight (revacc-submission) or draft the response letter (revacc-rebuttal).

Review Process (revacc-review-process)

When to trigger

  • You have submitted to RAST and want to understand what the timeline and decision will look like
  • You received a terse first-round decision and need to interpret it
  • You are deciding whether RAST's fast, decisive process fits your paper's stage of polish
  • You are weighing the RAST Conference path against the regular track
  • You are choosing between RAST and a sibling (TAR/JAR/JAE/CAR) on process grounds

RAST's distinguishing process culture

RAST advertises prompt turnaround and — importantly — an explicit tradition of making an accept/reject decision on the first round for the majority of manuscripts, rather than running paper after paper through multiple R&R cycles (待核实; 检索于 2026-06;以官网为准). This shapes strategy more than any other RAST fact:

  • The first submission must be near-final. Because many papers get a first-round decision, you do not get the long iterative runway some journals offer. Identification, the model, exhibits, and the contribution should be settled before you submit — there may be no second chance to fix them.
  • Decisions can be terse. A first-round reject may come with limited feedback; do not read brevity as carelessness — read it as the process working as designed.
  • An R&R is a strong signal. When RAST does issue an R&R rather than a first-round decision, it is a meaningful vote of confidence; treat the editor's letter as the binding map (see revacc-rebuttal).

Process facts to keep straight: double-blind review, Editorial Manager portal (both 待核实; 检索于 2026-06), and the USD $500 fee within 7 days (verified on the Springer submission guidelines, 核查于 2026-06-22; desk rejection refunds the fee minus a US$75 admin charge — re-verify before submitting).

The RAST Conference path

RAST runs a recurring conference whose accepted papers are considered for a conference issue, while all conference submissions are also reviewed for the regular journal (verified via the Wharton accounting page, 检索于 2026-06). Strategic reads:

  • The conference offers presentation plus a fast read; a non-accepted conference paper still enters regular consideration, so it is a low-downside route for a paper that is ready.
  • Confirm the current year's deadlines, host, and scope on the official call before committing.
Show full SKILL.md (244 more words)Show less

When a sibling fits the process better

If you need…Consider
A long, multi-round runway to develop a rough-but-promising paperTAR or CAR may offer more iterative review than RAST's first-round culture
A posted data-and-code package and Registered Reports as the headlineJAR
The economics-of-accounting house style and the JAE data archiveJAE
Equal standing for an analytical/disclosure model with fast turnaroundRAST is the natural home

Calibrate and plan

  1. Confirm the paper is near-final before submitting — the first-round-decision norm is unforgiving of half-built work.
  2. Set internal expectations: a fast decision, possibly terse; an R&R is good news.
  3. Decide the conference-vs-regular path deliberately.
  4. Pre-stage the response-letter workflow (revacc-rebuttal) only if an R&R arrives — do not pre-write it.

Checklist

  • The paper was near-final before submission (no reliance on multiple R&R rounds)
  • Expectations set for a fast, possibly first-round, decision
  • Double-blind / portal / fee facts confirmed for the current cycle (待核实)
  • Conference vs. regular path chosen on purpose
  • Sibling-venue fit considered if RAST's process is a poor match
  • An R&R, if received, is treated as a strong positive signal

Anti-patterns

  • Submitting half-built work expecting RAST to develop it across rounds — its first-round norm punishes this.
  • Misreading a terse reject as a process failure rather than the design working.
  • Ignoring the conference path for a ready paper that would benefit from the fast read.
  • Trusting cached timeline/fee facts instead of re-verifying for the current cycle.
  • Pre-writing a rebuttal before any R&R exists.

Output format

text
【Process model】fast, first-round-decision culture; double-blind; Editorial Manager (待核实)
【Paper readiness】near-final before submission? yes/no
【Path】regular journal / RAST Conference issue
【Decision read】first-round accept/reject vs. R&R (R&R = strong signal)
【Sibling check】RAST vs TAR/JAR/JAE/CAR on process grounds
【Re-verify】timeline + fee + portal for current cycle
【Next skill】revacc-rebuttal (only if an R&R arrives)

© 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-Accounting-Studies-Skills/skills/revacc-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Revacc Review Process

What does Revacc Review Process do?

A skill your agent uses when calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast, first-round-decision culture, double-blind process, the RAST Conference…. Revacc Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast, first-round-decision culture, double-blind process, the RAST Conference path, and when to consider a sibling venue.

When should I use Revacc Review Process?

Revacc Review Process fits situations like: calibrating expectations for the Review of Accounting Studies (RAST) review cycle — its fast; first-round-decision culture; double-blind process; the RAST Conference path.

How do I install Revacc Review Process in Claude Code?

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

How do I install Revacc Review Process in Codex?

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

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

What does Revacc Review Process need to run?

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

Does Revacc 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 Revacc 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 Revacc Review Process use?

Revacc 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 Revacc Review Process use?

About 1.3k tokens (SKILL.md is roughly 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 Revacc Review Process?

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Who maintains Revacc 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.