rebuttal

Draft venue-compliant academic paper rebuttals with safety gates and character limits.

2|Updated Aug 12, 2025
One-click install
npx skills add https://github.com/goupup-ai/miccai25 --skill rebuttal-goupup-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rebuttal
Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/rebuttal
Command: npx skills add https://github.com/goupup-ai/miccai25 --skill rebuttal-goupup-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk and effort of drafting academic paper rebuttals that fail to meet strict venue rules, miss critical reviewer concerns, or include unsubstantiated claims that can damage your submission's credibility.

Core Features & Use Cases

  • Automated Review Parsing: Normalizes raw reviewer feedback into structured, trackable concern cards.
  • Safety-First Drafting: Enforces provenance, commitment, and coverage gates to prevent fabrication, unapproved promises, or missed issues.
  • Venue-Compliant Output: Supports both single-document shared responses and per-reviewer thread responses, with strict character limit enforcement for conferences like ICML, NeurIPS, and OpenReview venues.
  • Follow-Up Round Management: Tracks new reviewer comments, drafts delta replies, and updates revision checklists for multi-round rebuttal processes.
  • Use Case: A researcher submitting to MICCAI 2025 can use this Skill to parse 4 reviewer comments, prioritize critical concerns, draft a compliant 5000-character rebuttal, and run a stress test to catch unaddressed issues before submission.

Quick Start

Use the rebuttal skill to draft a compliant, safety-checked response to the external reviews for your submitted conference paper, following your venue's character limits and response format rules.

Frequently Asked Questions about rebuttal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I draft an academic paper rebuttal that complies with strict ICML or NeurIPS character limits?

Drafting an academic paper rebuttal that complies with ICML or NeurIPS character limits requires automating response formatting and enforcing strict character limits. This Skill normalizes reviewer feedback and outputs venue-compliant rebuttals for OpenReview-style per-reviewer threads.

What is the best way to parse external conference reviews into trackable concerns for a rebuttal?

Parsing external conference reviews into trackable concerns involves normalizing raw reviewer feedback into structured concern cards. This Skill automates review parsing to prioritize critical issues and ensure coverage before drafting your response.

How do I prevent fabrication or unsubstantiated claims when responding to reviewer comments?

Preventing fabrication when responding to reviewer comments requires enforcing provenance, commitment, and coverage safety gates. This Skill applies safety-first drafting to block unapproved promises and unsubstantiated claims during rebuttal generation.

Can I use an automated rebuttal tool for multi-round follow-up responses on OpenReview?

Automated rebuttal tools can manage multi-round follow-up responses on OpenReview by tracking new reviewer comments and drafting delta replies. This Skill updates revision checklists and handles ongoing thread responses for multi-round rebuttals.

Does stress testing validate conference submission rebuttals before final upload?

Stress testing validates conference submission rebuttals by integrating with reviewer stress-testing backends to check draft quality. This Skill runs stress tests to catch unaddressed issues and confirm safety compliance prior to submission.

What are the limitations of automating academic paper rebuttal drafting for conference submissions?

Limitations of automating academic paper rebuttal drafting include strict dependence on venue-specific response formats and character limits. This Skill enforces provenance and coverage gates but requires accurate reviewer feedback parsing to prevent missed issues.