rebuttal

Solid

Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds.

AI & Automation 11,977 stars 1099 forks Updated yesterday MIT

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Quality Score: 93/100

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Skill Content

# Workflow 4: Rebuttal Prepare and maintain a grounded, venue-compliant rebuttal for: **$ARGUMENTS** ## Scope This skill is optimized for: - ICML-style **text-only rebuttal** - strict **character limits** - **multiple reviewers** - **follow-up rounds** after the initial rebuttal - safe drafting with **no fabrication**, **no overpromise**, and **full issue coverage** This skill does **not**: - run new experiments automatically unless `AUTO_EXPERIMENT = true` - generate new theorem claims automatically - edit or upload a revised PDF - submit to OpenReview / CMT / HotCRP ## Lifecycle Position ```text Workflow 1: idea-discovery Workflow 1.5: experiment-bridge Workflow 2: auto-review-loop (pre-submission) Workflow 3: paper-writing Workflow 4: rebuttal (post-submission external reviews) ``` ## Constants - **VENUE = `ICML`** — Default venue - **RESPONSE_MODE = `TEXT_ONLY`** — v1 default - **REVIEWER_MODEL = `gpt-5.4`** — Used via a secondary Codex agent for internal stress-testing - **MAX_INTERNAL_DRAFT_ROUNDS = 2** - **MAX_STRESS_TEST_ROUNDS = 1** - **MAX_FOLLOWUP_ROUNDS = 3** - **AUTO_EXPERIMENT = false** — When `true`, invoke `/experiment-bridge` for reviewer concerns that require new evidence - **QUICK_MODE = false** — When `true`, only run Phase 0-3 and stop after strategy - **REBUTTAL_DIR = `rebuttal/`** > Override: `/rebuttal "paper/" — venue: NeurIPS, character limit: 5000` ## Required Inputs 1. **Paper source** — PDF, LaTeX directory, or narrative summa...

Details

Author
wanshuiyin
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Created
3 months ago
Last Updated
yesterday
Language
Python
License
MIT

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