R&R cycle — classify referee comments and route to appropriate agents.

Custom licenceAuto-check passed

Install Revise

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill revise -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills revise --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/16-hsantanna88-clo-author/dot-claude/skills/revise .claude/skills/revise && 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
revise
GitHub stars
4.6k
Token cost
~635 tokens
SKILL.md length
269 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

R&R cycle — classify referee comments and route to appropriate agents.

  • Works in 7 steps: Parse Inputs → Classify Every Comment → Build Tracking Document → …
  • SKILL.md covers Workflow and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Revise is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. R&R cycle — classify referee comments and route to appropriate agents. Replaces /respond-to-referee.

Its SKILL.md is about 640 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: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

Example prompts

  • “/revise”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, Edit, Task

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Parse Inputs
  2. Classify Every Comment
  3. Build Tracking Document
  4. Dispatch Agents
  5. Draft Response Letter
  6. Diplomatic Disagreement Protocol
  7. Save Outputs

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Write
    • Edit
    • Task

    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

Revise loads about 635 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 269 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~635

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 269 words (~635 tokens).

“Structure point-by-point referee responses with classification, agent routing per revision protocol, and diplomatic drafting.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
revise
allowed-tools
Read, Grep, Glob, Write, Edit, Task
argument-hint
[referee-report file path] [paper path (optional)]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/16-hsantanna88-clo-author/dot-claude/skills/revise of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Revise 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.

Revise compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Revise this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~635Automated safety check: PassCustom licence
OmniRoute Routing CLIdiegosouzapw/OmniRoute75k—~342Automated safety check: PassMIT
OmniRoute Combo Routingdiegosouzapw/OmniRoute75k—~2.1kAutomated safety check: PassMIT
Intelligence Routeruvnet/ruflo74k—~874Automated safety check: NotesMIT
No Commentscursor/plugins11k7 repos~640Automated safety check: PassNone
Commentsanthropics/claude-for-legal9.6k1 repos~1kAutomated safety check: PassApache-2.0

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Questions about Revise

What does Revise do?

R&R cycle — classify referee comments and route to appropriate agents. Revise is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. R&R cycle — classify referee comments and route to appropriate agents.

How do I install Revise in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill revise -a claude-code`. Or copy the skill folder (skills/16-hsantanna88-clo-author/dot-claude/skills/revise in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/revise in your project. Claude Code loads it when a task matches its description.

How do I install Revise in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill revise -a codex`. Or copy the skill folder (skills/16-hsantanna88-clo-author/dot-claude/skills/revise in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/revise in your project. Codex loads it when a task matches its description.

Can I use Revise 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/Auto-Empirical-Research-Skills --skill revise -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/revise, .gemini/skills/revise, .github/skills/revise and .opencode/skills/revise in your project.

What does Revise need to run?

SKILL.md names no scripts, command-line tools or credentials: Revise is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit, Task.

Does Revise 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 Revise 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 Revise use?

Revise has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Revise use?

About 635 tokens (SKILL.md is roughly 2.5k 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 Revise?

Skills that share tags, products or a category with Revise: OmniRoute Routing CLI (diegosouzapw/OmniRoute, 75k stars), OmniRoute Combo Routing (diegosouzapw/OmniRoute, 75k stars), Intelligence Route (ruvnet/ruflo, 74k stars) and No Comments (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Revise?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.