rereview

Orchestrate multi-agent code reviews analyzing behavior, security, architecture, and line-level logic.

23|4|Updated Sep 5, 2013
One-click install
npx skills add https://github.com/drn/dots --skill rereview
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rereview
Source: https://github.com/drn/dots/tree/main/agents/skills/rereview
Command: npx skills add https://github.com/drn/dots --skill rereview

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an exhaustive, multi-agent code review process to guarantee zero regressions and catch subtle bugs before merging code.

Core Features & Use Cases

  • Independent Reviewers: Spawns three distinct AI agents to review code changes from different perspectives.
  • Regression Prevention: Focuses on identifying any potential regressions, ensuring stability.
  • Comprehensive Analysis: Audits behavior changes, security, architecture, and line-by-line logic.
  • Use Case: Before merging a critical feature, use this skill to have three AI agents perform a deep, paranoid review, ensuring no existing functionality is broken and no new vulnerabilities are introduced.

Quick Start

Use the rereview skill to perform a paranoid review of the current branch against main.

Frequently Asked Questions about rereview

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

FAQPage Schema
How do I run a multi-agent code review for zero regressions before merging?▼

A multi-agent code review for zero regressions spawns three independent AI agents to analyze code changes against a baseline, running tests to synthesize findings across behavior, security, architecture, and line-level logic into a final verdict.

What is paranoid code review and how does it prevent regressions?▼

Paranoid code review is an exhaustive process that audits behavior changes, security, architecture, and line-by-line logic to identify potential regressions and catch subtle bugs before merging code.

Can I use AI agents to audit security and architecture in git code changes?▼

Yes, you can use AI agents to audit security and architecture in git code changes by spawning independent reviewers that analyze behavior changes and line-level logic against a baseline.

What's the best way to ensure zero regressions when merging critical features?▼

The best way to ensure zero regressions when merging critical features is orchestrating a multi-agent code review that runs tests and synthesizes findings from independent reviewers across behavior, security, architecture, and line-level logic.

Does multi-agent code review work with existing git workflows and baselines?▼

Multi-agent code review works with existing git workflows by analyzing code changes against a main baseline, running tests, and synthesizing findings to provide a final verdict before merging.

Why use independent AI reviewers instead of a single code review pass?▼

Independent AI reviewers provide comprehensive analysis from distinct perspectives, catching subtle bugs across behavior, security, architecture, and line-level logic that a single code review pass might miss.