research-review

What problem does it solve?

This Skill automates the iterative review and improvement of security, ZK, and LLM-security research paper drafts, ensuring they meet the rigorous standards of top-tier security conferences.

Core Features & Use Cases

• Adversarial Cross-Model Review: Simulates a skeptical senior PC member to identify overlooked flaws.
• Security Venue Criteria Alignment: Targets specific criteria for conferences like CCS, USENIX, and S&P.
• Iterative Improvement Loop: Replaces extensive experiments with proof sketches, threat model analysis, and literature gap fixing.
• Use Case: A researcher can use this skill to refine a novel ZK proof system paper, getting automated feedback on its threat model, security claims, and novelty before submission.

Quick Start

Use the research-review skill to perform 4 rounds of automated review on the paper draft located in the current directory.