Autorebuttal

Organization

Optima-CityU

autorebuttal

Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.

Overview

Publisher	Optima-CityU
Repository	`LLM4AD_Next`
Skill name	`autorebuttal`
Stars	596
Forks	41
Bundled files	Instructions only
License	BSD-3-Clause
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Optima-CityU on GitHub. Read the source before you install it.

Installation

Install the Autorebuttal AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git /tmp/LLM4AD_Next
mkdir -p .claude/skills
cp -r /tmp/LLM4AD_Next/skills/autorebuttal/autorebuttal .claude/skills/autorebuttal

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Autorebuttal in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Autorebuttal on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Autorebuttal is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AutoRebuttal

Read these shared references completely before acting:

/app/skills/autorebuttal-shared/references/input-contract.md
/app/skills/autorebuttal-shared/references/strategy-and-format.md
/app/skills/autorebuttal-shared/references/drafting-and-compliance.md
/app/skills/autorebuttal-shared/references/rebuttal-playbook.md
/app/skills/autorebuttal-shared/references/reviewer-model.md
/app/skills/autorebuttal-shared/references/initial-rebuttal-style.md
/app/skills/autorebuttal-shared/references/human-rebuttal-style.md
/app/skills/autorebuttal-shared/references/venue-policies.md
/app/skills/autorebuttal-shared/references/evidence-policy.md
/app/skills/autorebuttal-shared/references/artifact-contracts.md

If the baseline lacks details needed for a reply, read the saved review files or ask the author to paste the relevant original passage into the conversation. Do not treat an OpenReview link alone as evidence of the review's contents.

Read the confirmed intake and analysis from the rebuttal context before doing any generation. This author-facing phase contains three internal steps that must run in order without asking the author to type “continue.”

Step 1: Response strategy

Resolve shared issues, priority reviewers, response moves, output structure, and a reviewer-complete strategy. Decide whether shared concerns belong in one global response or in reviewer-specific blocks. Keep the stable reviewer UUIDs from the confirmed baseline; display labels are presentation only.

Step 2: Drafting

Write concise responses covering every analyzed concern exactly once across the global response and reviewer-specific entries. Ground factual claims in the paper or explicit author evidence and attach auditable source references. Use visible [AUTHOR: ...] placeholders when only the author can provide a result or decision.

Step 3: Compliance review

Audit and refine the full draft for concern coverage, reviewer identity, global/shared consistency, evidence integrity, and submission readiness. Fix non-blocking writing problems directly. Assemble the exact final submission in rendered_text; it must agree with the final global response and entries. Keep unresolved evidence visible and set ready_for_submission false when author action remains. Publish concise author-facing guidance for those unresolved items: identify what is missing, why it matters, and a practical next step. Do not expose the internal compliance checklist as user guidance.

Publish the complete AutoRebuttal phase contract exactly once with publish_stage_result and idempotency key autorebuttal-v1.

Frequently asked questions

What does the Autorebuttal AI skill do?

Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.

Why use Autorebuttal on TypingMind?

Because you install it once and use it with any model. Autorebuttal is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Autorebuttal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/autorebuttal/autorebuttal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Autorebuttal?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Autorebuttal?

As many as you like. As long as a model supports skills, you can use Autorebuttal with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Autorebuttal AI skill free?

Yes. It is published on GitHub by Optima-CityU under the BSD-3-Clause license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AutoRebuttal

Step 1: Response strategy

Step 2: Drafting

Step 3: Compliance review

Frequently asked questions

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