openclaw-qa-testing

Automates QA testing for OpenClaw across qa-lab and qa-channel scenarios with AI models.

4|Updated Apr 27, 2026
One-click install
npx skills add https://github.com/Agent-Pattern-Labs/sparse-kernel --skill openclaw-qa-testing-agent-pattern-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclaw-qa-testing
Source: https://github.com/Agent-Pattern-Labs/sparse-kernel/tree/main/.agents/skills/openclaw-qa-testing
Command: npx skills add https://github.com/Agent-Pattern-Labs/sparse-kernel --skill openclaw-qa-testing-agent-pattern-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openclaw, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for a streamlined approach to automate, run, monitor, and extend QA tests for OpenClaw, ensuring a high-quality codebase and smooth operational workflows.

Core Features & Use Cases

  • Automated Testing: Execute and track QA tests within qa-lab and qa-channel scenarios.
  • Integration with OpenAI Models: Leverage powerful AI models like openai/gpt-5.4 for enhanced QA analysis.
  • Matrix Testing: Support for comprehensive test coverage with fast and full profiles for release validation.
  • Character Evaluations: Conduct in-depth character evaluation checks for style, persona, and vibe assessment.

Quick Start

To initiate OpenClaw QA testing using this skill, simply run the command:

openclaw-qa-testing qa suite --provider-mode live-frontier --model openai/gpt-5.4 --output-dir .artifacts/qa-e2e/run-all-live-frontier-<tag>

Frequently Asked Questions about openclaw-qa-testing

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

FAQPage Schema
How do I automate QA testing in the OpenClaw environment?

You can automate QA testing in OpenClaw by executing the qa suite command, which runs tests across qa-lab and qa-channel scenarios and outputs results to a specified directory.

What is matrix testing and how does it improve test coverage?

Matrix testing improves coverage by supporting fast and full profiles, allowing you to validate OpenClaw releases comprehensively across multiple scenarios and configurations simultaneously.

Can I use AI models to enhance automated QA analysis?

Yes, you can leverage AI models like openai/gpt-5.4 by specifying the provider-mode and model parameters in your test command to enhance QA analysis.

Does OpenClaw testing support character evaluation checks?

Yes, OpenClaw testing supports in-depth character evaluation checks to assess style, persona, and vibe, ensuring that character outputs meet specific behavioral and contextual standards.

Do I need OpenClaw installed to run these QA tests?

Yes, OpenClaw is a required dependency. You must have the OpenClaw environment set up to execute the qa-lab and qa-channel workflows and generate the necessary test artifacts.

What is the best way to validate a release using OpenClaw automation?

The best way to validate a release is running the full matrix testing profile in live-frontier provider mode, ensuring comprehensive coverage across all qa-lab and qa-channel scenarios.