consensus-resolver

Resolve multi-agent disagreements using deterministic rules for consensus decisions.

1|Updated Mar 7, 2026

Search Tags:#decision making #verification #consensus #agent coordination #disagreement resolution

Ready to run

npx skills add https://github.com/jimmymalhan/codereview-pilot --skill consensus-resolver

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: consensus-resolver
Source: https://github.com/jimmymalhan/codereview-pilot/tree/main/.claude/skills/consensus-resolver
Command: npx skills add https://github.com/jimmymalhan/codereview-pilot --skill consensus-resolver

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of conflicting outputs from multiple AI agents, ensuring a deterministic and reliable final decision.

Core Features & Use Cases

Conflict Resolution: Applies predefined rules to resolve disagreements between agents.
Deadlock Prevention: Guarantees a resolution even in scenarios with tied votes.
Use Case: When a code review is passed by two agents and rejected by three, this skill will ensure the final output is 'REJECT' and list the reasons provided by the rejecting agents.

Quick Start

Use the consensus-resolver skill to determine the final outcome based on agent votes.

Frequently Asked Questions about consensus-resolver

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

FAQPage Schema

How do I resolve disagreements between multiple AI agents?▼

To resolve disagreements between multiple AI agents, apply deterministic rules to their outputs to achieve a consensus decision. This handles unanimous agreement, majority rule, ties, and critical blockers to ensure a definitive outcome.

What happens when AI agent votes are tied during consensus decision making?▼

During consensus decision making, tied agent votes are handled by applying predefined rules that guarantee a resolution. This deadlock prevention ensures a final outcome is reached even when agents split their votes equally.

How do I standardize multi-agent verification outputs when code review results conflict?▼

To standardize multi-agent verification outputs, apply deterministic conflict resolution rules to conflicting code review results. If two agents pass and three reject a review, the final output becomes 'REJECT' with the rejecting reasons listed.

Does multi-agent coordination require handling critical blockers differently than majority rule?▼

Yes, multi-agent coordination handles critical blockers differently than standard majority rule. The consensus process applies specific deterministic rules to critical blockers to ensure they are addressed before a final definitive outcome is achieved.

What is the best way to aggregate conflicting outputs from multiple AI agents?▼

The best way to aggregate conflicting outputs from multiple AI agents is applying a deterministic consensus framework. This standardizes decision-making processes by resolving disagreements through predefined rules like majority rule or deadlock prevention.