hkustdial/supervisor-skills

rebuttal-guidance

Provides actionable peer-review rebuttal guidance (not full rebuttal prose) using conditional persuasion P(Z|X,Y): match reviewer mindset X, recommend strategy Y, optionally ground in manuscript evidence and similar successful historical (review, rebuttal)…

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Jak używać

  1. Skopiuj polecenie instalacji i sprawdź źródła przed instalacją we własnym środowisku agenta.
  2. W oryginale sprawdź wymagane narzędzia, dane dostępowe i obsługiwane środowiska.
  3. Opisz dane wejściowe i oczekiwany rezultat; porównaj wynik ze źródłami.
npx skills add https://github.com/hkustdial/supervisor-skills --skill rebuttal-guidance

Przed rozpoczęciem

  • Instalacja nie obejmuje subskrypcji modelu, limitu API ani uprawnień do plików.
  • Gwiazdki i instalacje pokazują aktywność, a nie niezależny test jakości lub bezpieczeństwa.
Oryginalny dokument Skill

Treść z repozytorium z zachowaniem nagłówków, przykładów, kodu, tabel, linków i obrazów.

Rebuttal Guidance

Overview

This skill delivers executable rebuttal guidance per concern: structured plans, evidence pointers, tone and strategy priorities. It does not produce ready-to-paste rebuttal prose; the author writes the final text.

The core model is conditional persuasion P(Z=1 | X, Y):

  • X: reviewer mindset (behavior cluster inferred from review text)
  • Y: rebuttal strategy vector (which tactics to emphasize)
  • Z: success (score increase or paper accepted)

When to use

  • User pastes Weaknesses / Questions from ICLR, NeurIPS, ICML, EMNLP, etc.
  • User asks how to respond to a specific reviewer comment.
  • User wants a structured plan before writing rebuttal prose.
  • User asks which tone or evidence strategy fits a harsh vs. open reviewer.
  • User says "reviewer ignored my rebuttal" and wants to recalibrate.

When NOT to use

  • User wants full rebuttal text copied verbatim → output guidance first; warn

against blind LLM paste.

  • User asks to evaluate a research idea → use idea-evaluator.
  • User asks for pre-submission paper review → use pre-submission-reviewer.
  • No review text provided → ask for it first.

Core procedure

Step 1: Inventory concerns

Extract every numbered Weakness and Question from the pasted review. If the user pasted only one reviewer's block, ask whether other reviewers exist.

Output a short table:

IDTypeOne-line summary
R1.W1W...
R1.Q1Q...

Step 2: Classify each concern

See: references/concern-classification.md

Tag each item as one of: misunderstanding | evidence_gap | novelty | baseline_fairness | scope_claim | writing_clarity | theory | efficiency | other

Step 3: Match reviewer mindset (X)

See: references/mindset-matching-heuristics.md

Score the review on 5–7 behavior signals (openness, severity, constructiveness, specificity, skepticism, harshness, actionability). Map scores to a cluster in references/mindset-library.md.

State: matched cluster name, confidence (high / medium / low), and the specific phrases that triggered the match.

Step 4: Strategy priorities for this mindset (Y)

From the matched cluster in references/mindset-library.md, read:

  • Historical up-rate: calibrate how likely a score increase is.
  • Rule-stat diffs (success vs. failure %): boost tactics with positive diff.
  • Cohen's d effects: highlight dimensions with d > 0.8 in success group.
  • Success / failure patterns: concrete do's and don'ts from data.
  • Key strategy: one-sentence summary for this cluster.

Cross-check dimensions in references/strategy-dimensions.md.

Step 5: Per-concern guidance

For each concern, emit a guidance block (not final prose):

### R?.W?: [short title]
- **Concern type**: ...
- **Mindset-aware strategy**: ...
- **Recommended structure**: Acknowledge → Response → Evidence → Revision note
- **Clarify from paper?**: yes/no: where to look (section, table, appendix)
- **New experiment needed?**: yes/no: what exactly (no fabricated numbers)
- **Tone note**: ...
- **Template**: A / B / C: see references/response-templates.md
- **Avoid**: ...

Do not fabricate experimental numbers. Mark anything unverified as [TO VERIFY].

Step 6: Integrity gate

Before finalizing, run through references/checklist.md.

Key flags:

  • Every W/Q has a guidance block.
  • No fabricated numbers.
  • Defensive phrases (e.g., "you misunderstood") flagged.
  • Overpromise risk flagged for scopeclaim and evidencegap types.

Step 7: Output format

Deliver a ## Rebuttal Guidance section containing:

  1. Reviewer mindset summary: cluster name, confidence, identifying phrases.
  2. Global strategy priorities: 3–5 bullets from mindset data.
  3. Per-concern guidance: Step 5 blocks for each W/Q.
  4. Checklist highlights: pass/fail on key integrity items.

Reference map

PurposeFile
Concern type → response priorityconcern-classification.md
Reviewer signal → mindset clustermindset-matching-heuristics.md
Mindset clusters with stats & patternsmindset-library.md
10 strategy dimensions (Y)strategy-dimensions.md
Response templates A / B / Cresponse-templates.md
Pre-submit integrity checklistchecklist.md

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