multi-agent-verify

Name: multi-agent-verify
Availability: InStock
Author: Yuan

Orchestrate parallel code verification with three AI agents in separate git worktrees.

9|2|Updated Feb 12, 2026

Search Tags:#automation #testing #code review #bug fixing #verification #multi-agent

Ready to run

npx skills add https://github.com/leyuan0602-glitch/cc-claude-codex --skill multi-agent-verify

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-agent-verify
Source: https://github.com/leyuan0602-glitch/cc-claude-codex/tree/main/multi-agent-verify
Command: npx skills add https://github.com/leyuan0602-glitch/cc-claude-codex --skill multi-agent-verify

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of code verification by leveraging multiple AI agents working in parallel, ensuring thorough review and bug fixing.

Core Features & Use Cases

Parallel Agent Execution: Launches three distinct agents (OpenCode, Codex, Claude) simultaneously in isolated worktrees.
Comprehensive Review: Each agent independently reviews code, writes tests, identifies bugs, and proposes fixes.
Synthesized Results: Consolidates findings from all agents to apply the most effective and validated fixes.
Use Case: When implementing a new feature, use this Skill to have three AI agents independently review the code for security vulnerabilities, architectural soundness, and adherence to coding standards, then synthesize their findings into a single, robust commit.

Quick Start

Use the multi-agent-verify skill to review and fix the current code changes.

Frequently Asked Questions about multi-agent-verify

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

FAQPage Schema

How does multi-agent code verification work for bug fixing?▼

Parallel code verification uses three distinct AI agents—OpenCode, Codex, and a Claude subagent—operating simultaneously in isolated git worktrees to independently review code, identify bugs, and propose fixes before synthesizing results into a single robust commit.

How do I automate code review with multiple AI agents in isolated worktrees?▼

You automate code review by using a skill that orchestrates parallel execution of OpenCode, Codex, and Claude subagents in separate git worktrees, having each independently assess security, architecture, and standards before applying synthesized fixes.

Can I use independent AI agents to write tests and fix bugs simultaneously?▼

Yes, you can use independent AI agents to write tests and fix bugs simultaneously by deploying OpenCode, Codex, and a Claude subagent in parallel, allowing them to independently validate changes before consolidating their findings.

What is the best way to synthesize code review findings from multiple agents?▼

The best way to synthesize code review findings from multiple agents is to run them in isolated git worktrees and consolidate their validated fixes into a single commit, ensuring thorough review and multi-agent consensus.

Do I need git worktrees to run parallel AI agents for code verification?▼

Yes, you need git worktrees to run parallel AI agents for code verification, as each of the three agents operates in a separate, isolated worktree to independently review code and propose fixes without conflicts.

When should I not use multi-agent verification for code changes?▼

You should not use multi-agent verification for trivial code changes or when isolated git worktrees are unavailable, as orchestrating three independent AI agents requires sufficient environment setup to justify the parallel execution overhead.