blackbox

Delegate coding tasks to multiple AI models with built-in judging.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/1thirteeng3/greenmoire --skill blackbox-1thirteeng3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: blackbox
Source: https://github.com/1thirteeng3/greenmoire/tree/main/integrations/hermes-agent/optional-skills/autonomous-ai-agents/blackbox
Command: npx skills add https://github.com/1thirteeng3/greenmoire --skill blackbox-1thirteeng3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Blackbox CLI enables delegating coding tasks to multiple AI models with a built-in judge to select the best implementation, accelerating code quality and delivery.

Core Features & Use Cases

  • Multi-model coding agent with built-in judge that runs tasks through multiple LLMs and selects the best result.
  • Interactive sessions, one-shot tasks, checkpointing, MCP, and vision model switching.
  • Prerequisites: Node.js, Blackbox CLI installed, and API key configuration for access.

Quick Start

Prompt Blackbox to implement a small REST API with authentication and run it as a one-shot task

Frequently Asked Questions about blackbox

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

FAQPage Schema
How do I delegate coding tasks to multiple AI models for comparison?

You can delegate coding tasks to multiple AI models using a multi-model AI agent that runs your prompt through various LLMs and uses a built-in judge to automatically select and deliver the highest-quality code implementation.

Do I need an API key and CLI installed to use multi-model coding agents?

Yes, running multi-model coding agents requires Node.js, the Blackbox CLI installed, and a configured API key to access the underlying large language models for interactive sessions and one-shot tasks.

Can I run interactive coding sessions and checkpoint my progress with an AI agent?

Yes, the multi-model AI agent supports interactive coding sessions and checkpointing, allowing you to pause, review, and resume complex code generation tasks across different languages and frameworks.

What is the best way to automate rapid prototyping and code reviews across languages?

Automating rapid prototyping and code reviews is best handled by a multi-model AI agent that leverages multiple LLMs to generate implementations and applies built-in judging to ensure high-quality code output.

Does the multi-model coding agent support MCP and vision model switching?

Yes, the multi-model coding agent supports MCP and vision model switching, enabling you to handle diverse coding tasks that require visual context or specialized model capabilities during interactive sessions.

Why use a built-in judge for multi-model code generation instead of a single LLM?

Using a built-in judge for multi-model code generation ensures that the outputs from multiple LLMs are evaluated against each other, filtering for the best implementation and accelerating overall code quality compared to relying on a single model.