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blackbox

Delegate complex coding tasks to a multi-model CLI agent for automated generation and review.

Updated May 4, 2026
Search Tags:#automation#cli#agent#multi-model#coding#terminal
One-click install
npx skills add https://github.com/InverterNetwork/hermes-agent --skill blackbox-inverternetwork
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: blackbox
Source: https://github.com/InverterNetwork/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/blackbox
Command: npx skills add https://github.com/InverterNetwork/hermes-agent --skill blackbox-inverternetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires node.js, @blackbox_ai/blackbox-cli.

What problem does it solve?

This skill solves the challenge of managing complex coding tasks by delegating them to a multi-model AI agent that evaluates and selects the best implementation from various LLMs.

Core Features & Use Cases

  • Multi-Model Judge: Dispatches coding tasks to multiple models like Claude, Codex, and Gemini, using a judge to select the optimal output.
  • Interactive & Background Execution: Supports both real-time terminal interaction and long-running background processes with progress monitoring.
  • Checkpointing: Allows for pausing and resuming complex coding sessions to maintain context and progress.

Quick Start

Use the blackbox skill to add a new authentication module to the current project directory by running the terminal command with the appropriate prompt.

Frequently Asked Questions about blackbox

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

FAQPage Schema
How do I automate complex coding tasks using multiple AI models in the terminal?▼

You can automate coding tasks by delegating them to a multi-model AI agent that evaluates outputs from models like Claude, Codex, and Gemini, selecting the optimal implementation for your terminal session.

What is a multi-model judge for code generation and how does it work?▼

A multi-model judge for code generation dispatches your prompt to multiple LLMs and automatically selects the best implementation, ensuring you get the optimal code output without manually comparing different model responses.

Do I need Node.js to run a CLI-based AI coding agent in the terminal?▼

Running a CLI-based AI coding agent requires Node.js 20+ and the @blackbox_ai/blackbox-cli package to interface with the Blackbox AI API for terminal task execution.

Can I pause and resume long-running background code generation tasks?▼

Yes, you can pause and resume complex coding sessions using checkpoint-based workflow management, which maintains context and progress for both interactive terminal sessions and long-running background processes.

How do I execute terminal commands for code review and generation asynchronously?▼

You can execute terminal commands asynchronously by running the CLI agent in background mode, which supports long-running processes with continuous progress monitoring for automated code generation and review.

What is the best way to compare LLM outputs for software development tasks?▼

The best way to compare LLM outputs is using a multi-model judge that dispatches tasks to models like Claude, Codex, and Gemini, automatically evaluating and selecting the optimal implementation for your software development project.

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