rebuttal-baseline
Build and confirm the complete paper, review, constraint, concern, and reviewer-card baseline before rebuttal generation.
Skill by Optima-CityU
Chalk Labs
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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-rebuttal-baseline
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.
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About
Use cases: research, 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/rebuttal-baseline
What's inside
- Skill name
rebuttal-baseline- Description
- Build and confirm the complete paper, review, constraint, concern, and reviewer-card baseline before rebuttal generation.
- License
- BSD-3-Clause
- Instructions
- 69 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. --> # Rebuttal Baseline Read these shared references completely before acting: - `/app/skills/autorebuttal-shared/references/input-contract.md` - `/app/skills/autorebuttal-shared/references/reviewer-analysis.md` - `/app/skills/autorebuttal-shared/references/reviewer-model.md` - `/app/skills/autorebuttal-shared/references/rebuttal-playbook.md` - `/app/skills/autorebuttal-shared/references/evidence-policy.md` - `/app/skills/autorebuttal-shared/references/artifact-contracts.md` This author-facing phase contains two internal steps. ## Step 1: Intake Read the paper entry point and follow relevant includes. Then collect reviews from the available sources: 1. Read every report in the review index when it is non-empty. 2. Read any review text the author pasted into the conversation, including separately labeled reports in one message. Preserve each distinct conversation-only report in the corresponding `reviewer_sources` item as `review_markdown`, organized for display with Markdown headings and lists. Retain the supplied details and do not invent absent fields. The right-hand reviewer panel displays this Markdown after baseline publication. 3. Merge matching reports from these sources without dropping reviewer-specific details. A forum URL alone is not review text; ask the author to paste the report or enter it in the right-hand review panel. 4. If neither source contains a review, ask the author to paste one into the conversation or enter it in the review panel. Assign one stable reviewer UUID per distinct report. Use the indexed UUID for saved reviews; for a conversation-only report, create a UUID and retain it in the published baseline. Preserve a human-readable reviewer label separately. Do not claim to have read a linked forum unless its review text was supplied. Normalize the paper summary, stable reviewer UUIDs and display labels, venue, response mode, output format, author notes, forbidden claims, and unresolved questions. ## Step 2: Review analysis Split every substantive report into atomic `W` weaknesses, `Q` questions, and `M` minor points. Record stable concern IDs, severity, likely answer source, response move, and auditable source references. Build exactly one reviewer card per indexed report and assign every concern to exactly one matching card. Use the index `reviewer_id` UUID everywhere; never substitute or derive it from the human-readable `display_label`. Present the compact baseline to the author. Do not draft rebuttal prose, choose a final strategy, edit paper files, or invent venue policy. Missing venue/year, the default response mode or output format, absent numeric limits, and evidence that will require an author placeholder are not generation blockers. Record such items as assumptions, warnings, or open questions and continue. Only set `ready_for_generation` false when the source material is unusable for an evidence-grounded response: the paper has no substantive readable content, neither the review index nor the conversation supplies a review, or none of the collected reviews contains a substantive concern. In that case, identify the exact missing source and required author action. Otherwise publish the baseline with `ready_for_generation` true. Publish the complete Baseline phase contract exactly once with `publish_stage_result` and idempotency key `rebuttal-baseline-v1`.
From Optima-CityU/LLM4AD_Next, BSD-3-Clause.
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Signals
- Stars
- 677
- Forks
- 44
- Open issues
- 1
- Last commit (this folder)
- Sep 24, 2026 (1 month ago)
- Last release
- Sep 29, 2026 (1 month 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-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-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-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
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Cite this page
rebuttal-baseline skill. Agent Mart. https://agentmart.dev/skills/optima-cityu-rebuttal-baseline (last updated 2026-10-24)