autorebuttal
Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.
Skill by Optima-CityU
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/optima-cityu-autorebuttal
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: security, writing-editing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/autorebuttal
What's inside
- Skill name
autorebuttal- Description
- Automatically plan, draft, and compliance-check a complete evidence-grounded rebuttal from a confirmed baseline.
- License
- BSD-3-Clause
- Instructions
- 55 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
<!-- Adapted from YoujunZhao/AutoRebuttal; see /app/skills/autorebuttal-shared/ATTRIBUTION.md. --> # 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`.
From Optima-CityU/LLM4AD_Next, BSD-3-Clause.
More from Optima-CityU/LLM4AD_Next
- 0.818score
proposal-foundation-layout
Optima-CityU
Use when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-innovation-plan
Optima-CityU
Use when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-foundation-feasibility
Optima-CityU
Use when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
document-knowledge-organizer
Optima-CityU
Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-final-review
Optima-CityU
Use when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-rationale
Optima-CityU
Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-objectives
Optima-CityU
Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-methods
Optima-CityU
Use when translating established proposal objectives into research methods, a technical route, formal definitions, and an evaluation plan.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-literature-evidence
Optima-CityU
Use when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
llm4ad-task-builder
Optima-CityU
Use when a user wants to build an LLM4AD_Next task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
typst-author
Optima-CityU
Generate idiomatic Typst (.typ) code, edit and troubleshoot Typst documents and projects, and answer Typst syntax/reference questions.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
reevo
Optima-CityU
Reflective Evolution (ReEvo) method skill.
SkillAFreshness: A★ 677Claude Code +9
Compare and alternatives
Featured in
Signals
- Stars
- 677
- Forks
- 44
- Open issues
- 1
- Last commit (this folder)
- Sep 24, 2026 (1 month ago)
- Last release
- Sep 29, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- BSD-3-Clause
- Repository
- github.com/Optima-CityU/LLM4AD_Next
- Website
- llm4ad-next.cn
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Optima-CityU
- 0.818score
proposal-literature-evidence
Optima-CityU
Use when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-innovation-plan
Optima-CityU
Use when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-rationale
Optima-CityU
Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-methods
Optima-CityU
Use when translating established proposal objectives into research methods, a technical route, formal definitions, and an evaluation plan.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-objectives
Optima-CityU
Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-foundation-layout
Optima-CityU
Use when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
SkillAFreshness: A★ 677Claude Code +9
Cite this page
autorebuttal skill. Agent Mart. https://agentmart.dev/skills/optima-cityu-autorebuttal (last updated 2026-10-24)