openhands

Delegate software development tasks to an autonomous coding agent via OpenHands CLI.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/davpatel605-beep/hermusagent --skill openhands-davpatel605-beep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openhands
Source: https://github.com/davpatel605-beep/hermusagent/tree/main/backend/vendor/hermes/optional-skills/autonomous-ai-agents/openhands
Command: npx skills add https://github.com/davpatel605-beep/hermusagent --skill openhands-davpatel605-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users delegate complex coding work to an autonomous coding agent without being tied to a single model provider, reducing manual implementation effort.

Core Features & Use Cases

  • OpenHands CLI Delegation: Runs OpenHands in headless automation mode for coding tasks, file edits, and shell command execution.
  • Multi-Provider Support: Enables coding workflows with LiteLLM-compatible providers including OpenAI, Anthropic, OpenRouter, DeepSeek, Ollama, and vLLM.
  • Use Case: A developer can assign a multi-step repository change to OpenHands and receive structured JSONL progress output while the agent modifies files and executes commands.

Quick Start

Use the openhands skill to delegate a coding task to OpenHands for updating the error handling across the API source files.

Frequently Asked Questions about openhands

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

FAQPage Schema
How do I automate coding tasks and repository editing with an autonomous agent?

Automating coding tasks and repository editing requires delegating software development to an autonomous agent. This skill runs OpenHands in headless automation mode to execute file edits and shell commands, outputting structured JSONL progress for automated coding delegation.

Can I use LiteLLM-compatible providers like Anthropic or Ollama for autonomous coding delegation?

Yes, autonomous coding delegation supports LiteLLM-compatible providers. You can configure workflows with OpenAI, Anthropic, OpenRouter, DeepSeek, Ollama, and vLLM to enable multi-provider AI development scenarios.

What is headless JSON event handling for automated coding agents?

Headless JSON event handling is the process of processing structured JSONL progress output from a coding agent. It allows developers to monitor autonomous file modifications and shell command execution without an interactive UI.

Do I need the OpenHands CLI to run batch coding tasks?

Yes, the OpenHands CLI is required to run batch coding tasks. Terminal execution and LiteLLM-compatible model configuration are necessary prerequisites to receive structured JSONL progress output during automated implementation workflows.

How do I assign a multi-step repository change to an autonomous coding agent?

Assigning a multi-step repository change involves delegating the task to the coding agent via terminal execution. The agent autonomously modifies files and executes shell commands while returning structured JSONL progress output.