blackbox

Delegate coding tasks to Blackbox AI CLI with multi-model evaluation.

Updated May 23, 2026
One-click install
npx skills add https://github.com/zengbaocheng/hermes-tech-hub --skill blackbox-zengbaocheng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: blackbox
Source: https://github.com/zengbaocheng/hermes-tech-hub/tree/main/autonomous-ai-agents/blackbox
Command: npx skills add https://github.com/zengbaocheng/hermes-tech-hub --skill blackbox-zengbaocheng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Delegates coding tasks to Blackbox AI CLI, enabling multi-model evaluation with a built-in judge that selects the best implementation from multiple models.

Core Features & Use Cases

  • Multi-model evaluation across Claude, Codex, Gemini, and Blackbox Pro with an automated judging process to pick the best result.
  • Interactive sessions, non-interactive one-shot prompts, and long-running background tasks with checkpoints.
  • Easy setup requiring Blackbox CLI installation and API key configuration via blackbox configure.

Quick Start

Install the Blackbox CLI, configure your API key, and start an interactive session with a sample prompt.

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 and automatically pick the best result?

Multi-model evaluation delegates coding tasks across Claude, Codex, Gemini, and Blackbox Pro, using a built-in judge to automatically select the best implementation. It processes interactive sessions, one-shot prompts, and long-running background tasks.

How do I configure the Blackbox CLI for AI-assisted coding?

Configuring the Blackbox CLI requires installing the tool and running 'blackbox configure' to set your API key. Once configured, you can start interactive sessions or send non-interactive one-shot prompts for coding tasks.

Can I run long-running AI coding tasks with checkpoints using an automated judge?

Long-running background coding tasks support checkpoints to track progress over time. The integrated judge evaluates multi-model outputs from Claude, Codex, Gemini, and Blackbox Pro to ensure continuous quality.

What is the difference between interactive sessions and one-shot prompts for CLI coding?

Interactive sessions allow continuous dialogue for iterative coding, while one-shot prompts execute single non-interactive commands for immediate results. Both modes leverage multi-model evaluation to generate and judge code.

Does multi-model CLI coding work without an API key?

An API key is strictly required to use the multi-model CLI. You must configure it during setup via the 'blackbox configure' command before delegating any coding tasks to the AI models.