three-brain

Route Claude outputs to specialized reviewer or rescue models for code review and multimodal analysis.

4|4|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Roentek/Claude_Code_Boilerplate_Framework --skill three-brain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: three-brain
Source: https://github.com/Roentek/Claude_Code_Boilerplate_Framework/tree/main/.claude/skills/three-brain
Command: npx skills add https://github.com/Roentek/Claude_Code_Boilerplate_Framework --skill three-brain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents low-quality self-review by routing Claude’s own outputs into specialized reviewer/rescue models, and it ensures multimodal evidence is extracted with the right preprocessing when media or long documents are involved.

Core Features & Use Cases

  • Forced expert review for Claude’s output: Detects when users ask to “check/review/proof/verify” Claude’s just-produced work and routes the review to Codex instead of performing a blind self-audit.
  • Adversarial risk review on high-blast-radius edits: Triggers Codex adversarial review when an active edit touches sensitive code paths such as auth, billing, migrations, secrets, policy/ACLs, and deployment/IaC concerns.
  • Multimodal handling with preprocessing contracts: Routes video/audio/PDF-heavy requests to Gemini with explicit pipelines (clip/cap duration, extract audio, cap pages, and require timestamped or file/line citations).
  • Failure-counter rescue: Monitors repeated failure patterns and escalates to Codex rescue after defined retries on the same failing operation.
  • High-stakes consensus mode (when explicitly requested): Runs Claude/Codex/Gemini in parallel and enforces a structured adjudication template.

Quick Start

Ask for a second opinion by saying: "Review what you just wrote for bugs and missing tests."

Frequently Asked Questions about three-brain

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

FAQPage Schema
How do I prevent Claude from doing a blind self-audit when I ask it to code review its own output?▼

To prevent ineffective self-review during code review, this Skill detects review verbs like "check" or "verify" and automatically routes Claude's just-produced work to external expert models like Codex for an objective, adversarial analysis instead of a blind self-audit.

What is the best way to trigger adversarial testing on sensitive code paths like auth and billing?▼

Adversarial testing on sensitive code paths is triggered automatically when an active edit touches high-blast-radius areas such as auth, billing, secrets, or deployment configurations, routing the changes to Codex for specialized risk-path detection and review.

How does multimodal analysis handle video and PDF preprocessing with cited outputs?▼

Multimodal analysis handles video and PDF preprocessing by routing media-heavy requests to Gemini, applying explicit pipelines that cap duration or pages, extract audio, and enforce structured, evidence-first outputs with timestamps, page numbers, or file/line citations.

Can I escalate code tasks to a rescue model after repeated failure recovery attempts?▼

Yes, you can escalate tasks to a rescue model after repeated failures; the Skill uses deterministic failure counters to monitor repeated unsuccessful attempts on the same operation and automatically triggers Codex rescue after defined retries.

Does this agent routing approach support high-stakes consensus mode with multiple models?▼

Yes, high-stakes consensus mode is supported when explicitly requested, running Claude, Codex, and Gemini in parallel to analyze the same task and enforcing a structured adjudication template to resolve differences and verify results.

When should I not use automated expert reviewer routing for my software engineering tasks?▼

You should avoid automated expert reviewer routing for simple, low-blast-radius edits that do not touch sensitive code paths, as the overhead of invoking external models is unnecessary when standard self-review or basic repo scanning suffices.