panel-majority-vote

Coordinate three reviewer agents to vote on a shared document with a single click.

59|12|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/etylsarin/opencastle --skill panel-majority-vote
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: panel-majority-vote
Source: https://github.com/etylsarin/opencastle/tree/main/src/orchestrator/skills/panel-majority-vote
Command: npx skills add https://github.com/etylsarin/opencastle --skill panel-majority-vote

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate three isolated reviewer subagents to reach a majority verdict on a single question, enabling robust verification when deterministic checks are insufficient.

Core Features & Use Cases

  • Isolated parallel review: runs 3 independent reviewers to minimize cross-contamination of context.
  • Majority verdict: consolidates outputs into PASS or BLOCK based on 2/3 agreement.
  • Audit trail: outputs per-reviewer results and a consolidated panel report for traceability.

Quick Start

Run panel-majority-vote to execute three isolated reviewers and produce a consolidated PASS or BLOCK verdict.

Frequently Asked Questions about panel-majority-vote

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

FAQPage Schema
How do I use multiple reviewers to reach a consensus verdict on a single question?

To reach a consensus verdict, you can use a panel-majority-vote mechanism that runs three isolated reviewer subagents in parallel. It consolidates their independent outputs into a final PASS or BLOCK decision based on a 2/3 majority agreement.

What is an isolated reviewer panel and how does it prevent context cross-contamination?

An isolated reviewer panel executes multiple independent subagents to evaluate the same question without shared context. This separation prevents cross-contamination of reasoning, ensuring each reviewer's verdict remains an independent assessment.

How do I generate an audit trail for automated code review decisions?

You generate an audit trail by executing parallel reviewers and aggregating their results. This process emits per-reviewer outputs alongside a consolidated panel report, providing complete traceability for the final consensus verdict.

When should I use a majority vote verification approach instead of deterministic checks?

Use a majority vote verification approach when deterministic checks are insufficient for robust validation. It is ideal for complex questions requiring consensus, where isolated parallel review by multiple subagents provides higher reliability.

Can I run a panel review on multiple questions at the same time?

No, the panel review operates on exactly one run root and one panel key at a time. It spawns three identical reviewer runs for that single question to produce independent outputs and a consolidated verdict.

What happens if the reviewers disagree during the consensus aggregation?

If reviewers disagree, the aggregation consolidates outputs by majority rules. As long as two out of three reviewers agree, the system emits a definitive PASS or BLOCK verdict for the panel report.