# About Harness Library

An agent harness is the surrounding setup that lets an AI model act on a task. It can include instructions, skills, tools, environment mappings, checks and workflows. Harness Library focuses on reusable, task-specific setups: from a small skill folder to an MCP workflow or a larger harness package.

Maintained by Kristofer Jussmann (@Ker102): https://github.com/Ker102

Source and review records: https://github.com/Kaelux-Labs/harness-library

Harneloop is optional. Setup reviews and artifact checks are scoped evidence, not universal model/platform certification.

## Can I submit just a few skills?

Yes. A useful skill folder, MCP workflow or complete harness package can qualify. Explain the task, installation and manual setup clearly.

## Do I need to use Harneloop?

No. Submissions can use any agent or framework. Built with Harneloop is an optional attribution, reviewed separately from the listing.

## What if my repository contains a whole application?

Provide a focused package or a dedicated harness branch so users can install only the harness. Do not make them download unrelated videos, caches or application assets.

## Does a listing mean it works with every model?

No. Each page states its review scope, evidence and manual prerequisites. Setup reviewed and artifacts checked are different claims; neither guarantees every platform or model.

## Is submitting free?

Yes. Browsing and submitting to the directory are free. You need a GitHub account to open a submission issue; a Harness Library account is not required.