Skill Detail

Run software engineering tasks with OpenHands

Use OpenHands to run supervised software-engineering agents that inspect repositories, edit code, execute commands, and return reviewable implementation evidence.

Developer ToolsCustom Agents
Developer Tools Custom Agents Security Reviewed
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COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill run-software-engineering-tasks-with-openhands Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
OpenHands runtime, model provider credentials, target repository or workspace, Docker or supported local/cloud runtime
Install & setup
Follow the official OpenHands installation path from openhands.dev or the GitHub README, start the local GUI, CLI, SDK, or hosted runtime, configure a model provider, then connect the target repository or workspace before assigning a software-engineering task.
Author
OpenHands
Publisher
Organization
Last updated
May 20, 2026
Quick brief

Use OpenHands when an operator needs a repeatable software-engineering agent workflow for repository tasks that require code inspection, edits, command execution, and reviewable handoff. The workflow is to start an OpenHands local GUI, CLI, SDK, or hosted runtime, connect a repository and model provider, define the implementation task, supervise tool use, and review the produced diff, logs, and reasoning before merging.

How it works

What this skill actually does

Invoke this instead of asking a general chatbot for code when the work needs an agent loop with workspace access, terminal execution, browser or API feedback, and an auditable path from task brief to patch. The scope boundary is supervised software-engineering task execution through the OpenHands runtime; it is not a generic model provider, IDE replacement, or broad AI-development platform card.

Inputs are a target repository or workspace, model/provider credentials, task instructions, runtime permissions, and optional evaluation or benchmark harnesses. Outputs are code changes, command logs, failure traces, task summaries, and implementation evidence suitable for human review.