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openhands

Delegate complex software engineering tasks to the OpenHands CLI for autonomous file editing and shell command execution.

Updated Jun 17, 2026
Search Tags:#automation#refactoring#autonomous#coding-agent#litellm#openhands
One-click install
npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill openhands-cxnaive
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openhands
Source: https://github.com/cxnaive/hermes-agent-llbot/tree/main/optional-skills/autonomous-ai-agents/openhands
Command: npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill openhands-cxnaive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python 3.12, uv.

What problem does it solve?

This skill solves the challenge of managing multi-step coding tasks and file edits by delegating them to a specialized, model-agnostic autonomous agent.

Core Features & Use Cases

  • Model-Agnostic Delegation: Run coding tasks using any LiteLLM-supported provider like OpenRouter, DeepSeek, or Ollama.
  • Autonomous Workspace Management: Handles multi-step file edits, shell command execution, and project-wide refactoring.
  • Use Case: When you need to implement a new feature across multiple files in a repository, use this skill to instruct OpenHands to perform the edits, run tests, and verify the implementation autonomously.

Quick Start

Use the openhands skill to add error handling to all API calls in the src directory using the gpt-4o-mini model.

Frequently Asked Questions about openhands

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

FAQPage Schema
How do I automate multi-step file edits and shell command execution for a coding project?▼

You can automate multi-step file edits and shell command execution by delegating complex software engineering tasks to the OpenHands CLI. It autonomously handles project-wide refactoring and runs shell commands within an isolated environment.

Can I use different LLM providers like DeepSeek or Ollama for autonomous coding tasks?▼

Yes, autonomous coding tasks support diverse LLM providers via LiteLLM integration. You can run workflows using any LiteLLM-supported provider, including OpenRouter, DeepSeek, or Ollama, making the agent completely model-agnostic.

Do I need Python 3.12 and the uv package manager to run autonomous coding agents?▼

Yes, you need Python 3.12 and the uv package manager to run this autonomous coding agent. These dependencies are required to maintain an isolated execution environment for safe file editing and shell command execution.

What is the best way to implement a new feature across multiple files in a repository autonomously?▼

The best way to implement a feature across multiple files is to delegate the task to an autonomous agent. It performs the edits, runs tests, and verifies the implementation autonomously, managing the entire multi-step coding workflow.

Does autonomous refactoring work with local models through LiteLLM?▼

Yes, autonomous refactoring works with local models through LiteLLM integration. The agent is model-agnostic, allowing you to use any LiteLLM-supported provider for multi-step file edits and project-wide refactoring tasks.

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