cs-meta-review

Draft venue-aligned meta reviews from papers, reviews, and rebuttals.

13|1|Updated Mar 21, 2026

Search Tags:#ethics #ml #cs #evidence-map #review-synthesis #meta-review #venue-scale

Ready to run

npx skills add https://github.com/yzhao062/agent-config --skill cs-meta-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cs-meta-review
Source: https://github.com/yzhao062/agent-config/tree/main/reference-skills/cs-meta-review
Command: npx skills add https://github.com/yzhao062/agent-config --skill cs-meta-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Draft technically grounded meta reviews from papers, reviews, rebuttals, and venue scales, helping chairs and authors understand decision factors and ethics concerns.

Core Features & Use Cases

Drafts grounded meta reviews from the paper, full set of reviews, rebuttals, and venue guidelines.
Synthesizes reviewer consensus, rebuttal impact, and ethics considerations into a decision-ready narrative.
Builds an evidence map, performs integrity checks, and outputs a venue-aligned final report.

Quick Start

Provide the paper PDF, reviewer comments, and any rebuttal so I can draft a grounded meta-review.

Frequently Asked Questions about cs-meta-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I draft a meta review for NeurIPS or ICML from reviewer comments and rebuttals?▼

Draft a meta review by providing the paper, full reviewer comments, and rebuttals. The tool synthesizes reviewer consensus and rebuttal impact, outputting a decision-ready narrative aligned with venue-specific scales for NeurIPS, ICML, and similar venues.

What is a meta review synthesis and how does an evidence map work?▼

Meta review synthesis consolidates paper reviews, rebuttals, and ethics concerns into a final decision. It builds an evidence map to track reviewer consensus and performs integrity checks before generating a venue-aligned narrative report.

Can I use this to generate a venue-specific decision report for TNNLS?▼

Yes, you can generate a venue-specific decision report for TNNLS. The workflow collects your inputs, builds an evidence map, and formats the final technical narrative to follow the target venue's specific decision scale and guidelines.

What is the best way to summarize reviewer consensus and ethics concerns for a CS paper?▼

The best way to summarize reviewer consensus is to supply the paper, the full review set, and any discussion. The process synthesizes technical feedback and ethics considerations into a grounded, decision-ready meta review.

Do I need to provide the full set of reviews to generate a grounded meta review?▼

Yes, you need to provide the full set of reviews. The workflow requires the paper, reviewer comments, and any rebuttal to collect inputs, build an accurate evidence map, and output a technically grounded narrative.

Why does the meta review process require an integrity check before outputting the final narrative?▼

The meta review process requires an integrity check to validate the evidence map against the provided reviews and rebuttals. This ensures the final decision-ready narrative accurately reflects reviewer consensus and ethics considerations without fabrication.