| name | paper-rebuttal |
| description | Guides writing effective rebuttals after receiving peer review feedback. Covers review diagnosis (score-driven color-coding), response strategy (champion identification, common-theme consolidation), tactical writing (18 rules), and counterintuitive rebuttal principles. Use when: user received reviewer scores/comments, needs to write a rebuttal or author response, wants to respond to specific criticism (e.g. 'limited novelty', 'missing baselines'), mentions 'rebuttal', 'reviewer comments', 'author response', or 'respond to reviewers'. Do NOT use for pre-submission self-review (use paper-review instead). |
| allowed-tools | Read, Write, Edit, Glob, Grep |
| metadata | {"author":"EvoScientist","version":"1.0.0","tags":["core","writing","academic-writing","peer-review"],"source":"EvoScientist/EvoSkills","license":"Apache-2.0"} |
Vendored from EvoScientist/EvoSkills (Apache-2.0), adapted for ReadPaperMachine（工具名/交叉引用/Guard/Verify 本地化）。License: references/licenses/EvoSkills-Apache-2.0.txt
Paper Rebuttal
Purpose
在收到审稿人反馈后，系统性地撰写有效的 rebuttal / author response。目标不是逐条为每个意见辩护，而是找出真正驱动分数的意见并优先处理。输入是用户收到的完整评审意见（各 reviewer 的 score 与 comment）；核心方法是 score diagnosis + 红/橙/灰/绿 comment 分色 + champion strategy；输出是按优先级组织、每条意见都遵循 acknowledge-respond-action 三段式的 rebuttal 文档。
When to Use This Skill
- User received reviewer comments and needs to write a rebuttal
- User asks how to respond to specific reviewer criticism
- User wants to analyze reviews strategically before responding
- User mentions "rebuttal", "reviewer comments", "review feedback", "respond to reviewers"
For pre-submission self-review and catching weaknesses before they become reviewer complaints, use the paper-review skill.
Steps
Step 1: Diagnose Reviews
Before writing a single word, answer: "Why did this reviewer give this exact score?" Not what they wrote — what drove the score. Most researchers skip this and address every comment equally. That is a mistake.
Score Diagnosis
For each reviewer, ask: "What would move this reviewer from their current score to acceptance?"
| Score Range | Typical Situation | Your Strategy |
|---|
| 7+ | Already your champion | Arm them with ammunition for the discussion phase |
| 5-6 | On the fence, 1-2 concerns holding them back | Identify and resolve those specific concerns |
| 3-4 | Fundamental objection | Determine if the objection is addressable; if not, focus elsewhere |
Color-Code Every Comment
Read through each review and mark every comment:
| Color | Meaning | Action | Budget |
|---|
| Red | Score-driving concern — this is why the score is low | Address first, maximum effort and evidence | 60% |
| Orange | Addressable concern — can be resolved | Respond with concrete data or revision | 30% |
| Gray | Minor or cosmetic | Acknowledge briefly, confirm fix | 10% |
| Green | Positive comment or praise | Note as ammunition for your champion | — |
Identify the Invisible Question
Behind every reviewer comment is an unspoken question. A comment like "The baselines are outdated" really asks: "Is this method actually competitive with current approaches?" Address the invisible question, not just the surface request.
Step 2: Plan Response Strategy
Categorize Every Concern
| Category | Response Strategy |
|---|
| Misunderstanding | Clarify with specific references to the paper; restate the key point |
| Missing experiment | Provide the experiment inline if feasible; otherwise explain constraints honestly |
| Missing baseline | Add comparison or explain precisely why the baseline is not applicable |
| Writing clarity | Acknowledge and provide revised text in the rebuttal |
| Fundamental concern | Address directly with technical arguments AND additional evidence |
| Minor issue | Thank the reviewer and confirm the fix |
Identify Common Themes
If multiple reviewers raise the same concern, it's almost certainly a real weakness. Consolidate these into a "Common Response" section — this saves word count and demonstrates that you understand the pattern.
Distinguish Actionable vs. Subjective
- Actionable: "Missing comparison with Method X" — you can do this
- Subjective: "The novelty is limited" — harder to address, but can be reframed with evidence
The Champion Strategy
Your rebuttal's real audience is not the negative reviewer — it's the positive one.
Your champion argues on your behalf in the AC discussion, often using your exact words. Write your rebuttal to arm them:
- Make key arguments copy-pasteable — your champion will quote you directly
- Highlight where reviewers agree with each other — consensus strengthens the champion's position
- Flag contradictions between reviewers — if R1 says "limited novelty" but R2 says "interesting approach," your champion can use this
- Lead with strengths before weaknesses — remind the AC what your paper does well
See references/rebuttal-tactics.md for the full 18 tactical rules.
Step 3: Write the Rebuttal
Structure
- Opening: One line thanking reviewers (keep it short)
- Common concerns: Address issues raised by multiple reviewers first — these are highest priority
- Per-reviewer responses: Address remaining concerns in priority order (red → orange → gray), NOT in the order the reviewer wrote them
Per-Concern Format
For each concern, follow this three-part structure:
- Acknowledge: Show you understand the concern (one sentence)
- Respond: Provide your answer — evidence, clarification, new experiment results
- Action: State what you changed in the revision (specific section/table/figure)
Use a fillable template at assets/rebuttal-template.md.
The Neutral Third-Party Test
Before submitting, have someone who hasn't read your paper read only the reviews and your rebuttal. Ask: "Can you tell whether the concerns were addressed?" If not, rewrite.
Counterintuitive Rebuttal Principles
-
Submit a rebuttal even with extreme scores. A paper with scores of 3/8/8 has better odds than you think. The negative reviewer may realize they are an outlier during discussion. But only if you submit a rebuttal — without one, the AC has nothing to work with.
-
Concede something small, win something big. Acknowledging a minor weakness ("We agree that Table 2 could include dataset X for completeness") makes your defense of major points more credible. Pure defense with zero concession reads as unobjective.
-
One new experiment beats three paragraphs of explanation. Reviewers are trained to be skeptical of arguments. They are not trained to be skeptical of data. A small new experiment that directly addresses a concern is worth more than any amount of reasoning.
-
The best rebuttal is written before submission. Draft responses to likely attacks while writing the paper ("prebuttal"). Two benefits: you often realize the attack is valid and fix the paper, and if the attack comes, you have a polished response ready.
-
Don't defend every point equally. Equal effort signals you don't know which points matter. Allocate your word budget according to the color-coding: 60% red, 30% orange, 10% gray. Reviewers notice when you nail the big issues.
Common Reviewer Concerns
Prepare responses for these frequent concerns. Having a prepared response doesn't mean copying it verbatim — adapt to your specific paper and the reviewer's specific framing.
| Common Concern | Response Strategy |
|---|
| "Limited novelty" | Articulate the specific insight; show what prior work cannot do; narrow and sharpen the claim |
| "Marginal improvement" | Emphasize other advantages (speed, generalizability, simplicity); add challenging test cases |
| "Missing ablations" | Provide the ablation table inline in the rebuttal |
| "Missing baselines" | Add the comparison or explain precisely why it's not applicable |
| "Not reproducible" | Add implementation details; commit to code release with a specific timeline |
| "Limited evaluation" | Add diverse datasets or metrics; if infeasible, explain resource constraints honestly |
| "No limitation discussed" | Add a limitation section in the revision; acknowledge this was an oversight |
| "Overclaimed results" | Weaken specific claims to match evidence; show the revised wording |
| "Unfair comparison" | Use standard evaluation protocols; add commonly reported baselines |
| "Method is engineering, not research" | Identify the scientific insight behind the design; explain why the choice is non-obvious |
| "Metrics don't match claims" | Align each claim with a specific metric; add the missing metric if feasible |
| "Related work incomplete" | Add the missing references; explain the relationship to your work |
Need to run new experiments for the rebuttal? Use the experiment-design skill to plan the new experiment, experiment-track to run and log it, and result-analysis to interpret the outcome — results land in Experiments/.
Guard
- 不承诺任何无法在 rebuttal 期限内完成的新实验；如资源或时间不允许，如实说明而非画大饼
- 不伪造或篡改实验数据来回应质疑——所有新增数据必须真实可复现，来自实际运行的实验（
Experiments/ 记录）
- 篇幅分配遵循红/橙/灰三色预算（约 60% / 30% / 10%），红色（score-driving）问题优先获得篇幅和证据
- 即使遇到极端分数组合（如 3/8/8），仍应提交 rebuttal，不得因存在个别负面评审而放弃回应
- 每条 action 承诺必须具体可核实（改了哪一节/哪张表/哪个图），不得用模糊的"未来会改进"搪塞
Verify
Handoff from Paper Review
This skill picks up where paper-review leaves off. If you used paper-review before submission, these artifacts are especially useful for rebuttal:
| Artifact from paper-review | How It Helps Rebuttal |
|---|
| Reject-first simulation | You've already anticipated likely attacks |
| Claim-evidence audit table | Quickly verify whether a reviewer's concern about unsupported claims is valid |
| Prebuttal drafts (Phase 6) | Ready-made response templates for common criticisms |
| Trust scorecard | Identifies weaknesses you can proactively concede |
Reference Navigation
