blackbox

Name: blackbox
Availability: InStock
Author: davpatel605-beep

Delegate software development tasks to the Blackbox CLI multi-model coding agent.

Updated Jun 25, 2026

Search Tags:#debugging #code generation #cli #llm #multi-model #coding agent #blackbox

Ready to run

npx skills add https://github.com/davpatel605-beep/hermusagent --skill blackbox-davpatel605-beep

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: blackbox
Source: https://github.com/davpatel605-beep/hermusagent/tree/main/backend/vendor/hermes/optional-skills/autonomous-ai-agents/blackbox
Command: npx skills add https://github.com/davpatel605-beep/hermusagent --skill blackbox-davpatel605-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers offload complex coding tasks to an AI coding agent that can coordinate multiple models and select strong implementations, reducing manual development effort.

Core Features & Use Cases

AI Coding Delegation: Sends implementation, refactoring, and debugging tasks to the Blackbox AI CLI agent.
Multi-Model Evaluation: Uses multiple LLM providers and a judge workflow to compare solutions and choose results.
Use Case: A developer can delegate a feature addition, bug fix, or pull request review while monitoring the agent execution and reported changes.

Quick Start

Use the blackbox skill to delegate a coding task to the Blackbox AI CLI agent for the current project.

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 an autonomous multi-model agent?▼

To delegate coding tasks to a multi-model agent, this Skill sends implementation, refactoring, and debugging requests to the Blackbox CLI. It coordinates multiple LLM providers and uses a judge workflow to compare generated solutions and select the strongest implementation for your project.

What is multi-model evaluation for automated code generation?▼

Multi-model evaluation for automated code generation is a process where multiple LLM providers draft solutions simultaneously. A judge workflow then compares these implementations to select the optimal result, reducing manual development effort and ensuring higher quality code output.

Do I need terminal execution support to run an AI coding agent for debugging?▼

Yes, terminal execution support is required to run the AI coding agent for debugging. The workflow requires the Blackbox CLI, configured API access, and terminal execution capabilities to manage agent sessions, monitor execution, and apply code changes.

Can I use an autonomous coding agent for pull request reviews?▼

Yes, you can use an autonomous coding agent for pull request reviews. This Skill supports delegating pull request reviews to the AI agent, allowing developers to monitor the execution and reported changes while the agent evaluates the code automatically.

What are the limitations of using an autonomous coding agent for feature development?▼

The limitations of using an autonomous coding agent for feature development include the strict requirement for configured API access and terminal execution support. Without the Blackbox CLI and workflow management for checkpoints, long-running engineering tasks cannot be executed or monitored.

What's the best way to automate refactoring workflows using multiple LLM providers?▼

The best way to automate refactoring workflows using multiple LLM providers is to delegate the task to a multi-model coding agent. The judge workflow compares solutions from different models and selects the best implementation, which you can monitor through managed agent sessions.