rebuttal

Normalize reviewer feedback into a traceable rebuttal workflow with stable item IDs.

2|Updated Apr 26, 2026
One-click install
npx skills add https://github.com/Rycen7822/DeepScientist-hermes --skill rebuttal-rycen7822
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rebuttal
Source: https://github.com/Rycen7822/DeepScientist-hermes/tree/main/resources/skills/rebuttal
Command: npx skills add https://github.com/Rycen7822/DeepScientist-hermes --skill rebuttal-rycen7822

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rebuttal workflow tooling helps researchers convert reviewer comments, meta-reviews, and revision requests into a durable plan of edits, experiments, and artifact updates, ensuring a clear, auditable path from feedback to manuscript changes.

Core Features & Use Cases

  • Atomic reviewer-item contract: break reviewer feedback into stable items with IDs (e.g., R1-C1) and preserve exact wording where possible.
  • Workflow orchestration: map items to the correct routes (text revisions, evidence repackaging, literature positioning, or experiments) and track progress.
  • Artifact and revision management: generate/update a review matrix, action plan, evidence updates, and revised manuscript sections.
  • Companion tooling: integrate with prompts and memory to load reviews, manage suggestions, and surface progress updates to stakeholders.

Quick Start

Provide a review packet (comments, meta-review, and decision letter) and let the system normalize it into a structured rebuttal plan.

Frequently Asked Questions about rebuttal

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

FAQPage Schema
How do I convert peer-review comments into a structured rebuttal plan?

To convert peer-review comments into a structured rebuttal plan, you provide a review packet containing comments, meta-reviews, and decision letters. The system normalizes this feedback into auditable items with stable IDs and routes them to text, evidence, or experimental workflows.

What is the best way to track manuscript revisions against reviewer feedback?

Tracking manuscript revisions against reviewer feedback is handled by enforcing stable item IDs and evidence anchors. This creates a traceable path from each specific reviewer comment to its corresponding manuscript delta and artifact update.

Can I map reviewer feedback to both text edits and new experiments?

Yes, you can map reviewer feedback to both text edits and new experiments. The workflow orchestration parses reviewer comments and routes them to the correct tracks, including text revisions, evidence repackaging, literature positioning, or experimental work.

How do I generate an auditable revision matrix from a decision letter?

Generating an auditable revision matrix from a decision letter requires parsing the reviewer requests into atomic items. The system preserves exact wording where possible, assigns item IDs like R1-C1, and generates an updated review matrix and action plan.

Does the rebuttal workflow tool require specific dependencies or components?

The rebuttal workflow tool requires no specific dependencies or components to function. It operates independently to normalize review packets, though it can integrate with prompts and memory to load reviews and manage suggestions for stakeholders.

When should I not use an automated rebuttal workflow for manuscript revision?

You should not use an automated rebuttal workflow if your revision requires changes that cannot be categorized into text, evidence, literature, or experimental routes. The system relies on classifying feedback into these specific actionable items to function properly.