openhands

Name: openhands
Availability: InStock
Author: icyzh

Delegate complex software development and refactoring tasks to the OpenHands CLI.

1|Updated Jul 31, 2026

Search Tags:#automation #refactoring #terminal #coding-agent #litellm #openhands

Ready to run

npx skills add https://github.com/icyzh/hermes-web --skill openhands-icyzh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openhands
Source: https://github.com/icyzh/hermes-web/tree/main/optional-skills/autonomous-ai-agents/openhands
Command: npx skills add https://github.com/icyzh/hermes-web --skill openhands-icyzh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python 3.12, uv, openhands.

What problem does it solve?

This skill solves the challenge of managing multi-step coding projects by delegating them to an autonomous agent that can handle file edits, shell commands, and complex logic without manual oversight.

Core Features & Use Cases

Model-Agnostic Delegation: Execute coding tasks using any LiteLLM-supported provider, including DeepSeek, Ollama, and Anthropic.
Headless Automation: Run batch or one-shot coding tasks in the background via the terminal tool without requiring a graphical interface.
Use Case: Use this skill to automatically refactor a large codebase or implement a new feature across multiple files by providing a single high-level prompt to the agent.

Quick Start

Invoke the openhands skill through the terminal tool to perform a specific coding task by providing the required environment variables and the task description in the command string.

Frequently Asked Questions about openhands

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

FAQPage Schema

How do I automate complex codebase refactoring across multiple files?▼

Autonomous coding agents handle complex codebase refactoring by executing multi-step file modifications and shell command orchestration in a headless terminal environment, requiring only a single high-level prompt to begin the task.

Can I use an autonomous coding agent with local LLMs like Ollama?▼

You can use local LLMs like Ollama with autonomous coding agents because the task delegation supports model-agnostic execution across any LiteLLM-supported provider, including DeepSeek and Anthropic, via configured API credentials.

Do I need a graphical interface to run autonomous coding tasks in the background?▼

Running autonomous coding tasks in the background requires no graphical interface because the agent operates via headless terminal automation, supporting batch or one-shot execution directly from the command line.

What Python version is required to run terminal-based coding agents?▼

Terminal-based coding agents require Python 3.12 and the uv package manager to function within a headless terminal environment, alongside appropriate API credentials for the selected LLM provider.

What's the best way to implement a new feature across a large codebase without manual oversight?▼

Delegating the implementation to an autonomous agent that handles file edits and shell commands independently through terminal-based execution is the best way to implement a new feature across a large codebase without manual oversight.