A skill your agent uses when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed.

Custom licenceAuto-check passedResearch & Science

Install Aer Rebuttal

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills aer-rebuttal --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/50-brycewang-aer-skills/skills/aer-rebuttal .claude/skills/aer-rebuttal && 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
aer-rebuttal
GitHub stars
4.6k
Used in
1 other repo
Token cost
~2.9k tokens
SKILL.md length
1,218 words
Files
3 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed.

  • Works in 4 steps: Parse → Classify → Severity → …
  • Responding to a Revise & Resubmit decision from AER
  • SKILL.md covers Overview, When to Use, Response Principle and Triage Workflow, plus 13 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aer Rebuttal is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed. Handles triage, the concede / clarify / push-back decision, and the response-letter format that editors actually read.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/response-letter-patterns.md`).

It sits in Research & Science. 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…

When your agent uses it

  • Responding to a Revise & Resubmit decision from AER
  • A point-by-point response letter plus aligned manuscript revisions are needed

Example prompts

  • “/aer-rebuttal”

Workflow steps

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

  1. Parse
  2. Classify
  3. Severity
  4. Action

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 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

Aer Rebuttal loads about 2.9k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 1,218 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,218 words (~2,919 tokens).

“A Revise & Resubmit at AER is precious. The rebuttal goal is not to "defend the paper"; it is to give the editor a credible package they can send back to referees with confidence.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
aer-rebuttal

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/50-brycewang-aer-skills/skills/aer-rebuttal of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • agents/openai.yaml
  • references/response-letter-patterns.md

Open the folder on GitHubat commit 9fa87d8

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in brycewang-stanford/Auto-Empirical-Research-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Aer Rebuttal 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.

Aer Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aer Rebuttal this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k1 repos~2.9kAutomated safety check: PassCustom licence
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Aer Rebuttal

What does Aer Rebuttal do?

A skill your agent uses when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed. Aer Rebuttal is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed.

When should I use Aer Rebuttal?

Aer Rebuttal fits situations like: responding to a Revise & Resubmit decision from AER; A point-by-point response letter plus aligned manuscript revisions are needed.

How do I install Aer Rebuttal in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-rebuttal -a claude-code`. Or copy the skill folder (skills/50-brycewang-aer-skills/skills/aer-rebuttal in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/aer-rebuttal in your project. Claude Code loads it when a task matches its description.

How do I install Aer Rebuttal in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-rebuttal -a codex`. Or copy the skill folder (skills/50-brycewang-aer-skills/skills/aer-rebuttal in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/aer-rebuttal in your project. Codex loads it when a task matches its description.

Can I use Aer Rebuttal 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 aer-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aer-rebuttal, .gemini/skills/aer-rebuttal, .github/skills/aer-rebuttal and .opencode/skills/aer-rebuttal in your project.

What does Aer Rebuttal need to run?

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

Does Aer Rebuttal 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 Aer Rebuttal 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 Aer Rebuttal use?

Aer Rebuttal 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 Aer Rebuttal use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Aer Rebuttal?

Skills that share tags, products or a category with Aer Rebuttal: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aer Rebuttal?

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.