Agent skill · Testing & QA

rebuttal

Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says \"rebuttal\", \"reply to reviewers\", \"ICML rebuttal\", \"OpenReview response\", or wants to answer external reviews safely.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codecan modify filesNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill rebuttal --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Allowed tools: Bash(*)ReadGrepGlobWriteEditAgentSkillmcp__codex__codexmcp__codex__codex-reply
Path: skills/42-wanshuiyin-ARIS/skills/rebuttal/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Workflow 4: Rebuttal Prepare and maintain a grounded, venue-compliant rebuttal for: **$ARGUMENTS** ## Scope This skill is optimized for: - ICML-style **text-only rebuttal** - strict **character limits** - **multiple reviewers** - **follow-up rounds** after the initial rebuttal - safe drafting with **no fabrication**, **no overpromise**, and **full issue coverage** This skill does **not**: - run

More from Auto-Empirical-Research-Skills
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About this skill
What does the rebuttal skill do?

Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says \"rebuttal\", \"reply to reviewers\", \"ICML rebuttal\", \"OpenReview response\", or wants to answer external reviews safely.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill rebuttal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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