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openclaw-qa-testing

Coordinate qa-lab and qa-channel to run repo-backed Argentum QA tests.

2|Updated Mar 15, 2026
Search Tags:#openai#workflow-orchestration#qa-testing#qa-lab#qa-channel#seed-scenarios#artifact-logging
One-click install
npx skills add https://github.com/AG064/argentum --skill openclaw-qa-testing-ag064
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-qa-testing
Source: https://github.com/AG064/argentum/tree/main/.agents/skills/argentum-qa-testing
Command: npx skills add https://github.com/AG064/argentum --skill openclaw-qa-testing-ag064

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Argentum QA testing can be slow and error-prone without a cohesive, repeatable workflow. This skill provides a coordinated framework to run, monitor, and extend repo-backed QA across qa-lab and qa-channel, enabling rapid feedback and reproducible scenarios.

Core Features & Use Cases

  • Run, watch, debug, and extend Argentum QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the Argentum QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
  • Repo-local QA workflows and seed-driven scenarios
  • Artifact logging and scenario management across qa-lab and qa-channel

Quick Start

Start the QA workflow by running the live OpenAI lane with gpt-5.4 in fast mode and executing the repo-backed QA suite.

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 and manage Argentum QA testing workflows?▼

Automate Argentum QA testing by coordinating qa-lab and qa-channel to run repo-backed tests, enabling you to execute, watch, debug, and extend the suite with deterministic lane policies and seed-driven scenarios.

How does artifact logging work across qa-lab and qa-channel?▼

Artifact logging across qa-lab and qa-channel captures live test outputs during scenario management, ensuring reproducible QA runs and allowing you to inspect live artifacts for debugging failing tests.

Can I run QA scenarios using OpenAI lanes with specific GPT models?▼

Yes, you can run QA scenarios across live OpenAI lanes, preferring the regular gpt-5.4 model in fast mode. The workflow enforces deterministic lane policies and prevents using gpt-5.4-pro or gpt-5.4-mini unless explicitly overridden.

What is the best way to debug failing scenarios in a repo-backed QA suite?▼

Debug failing scenarios in the repo-backed QA suite by inspecting live QA artifacts through qa-channel configurations, leveraging seed-driven scenarios to reproduce failures, and coordinating with qa-lab for targeted test execution.

How do I add new seed-driven scenarios to an existing QA suite?▼

Extend the QA suite by adding new seed-driven scenarios through the extensions/qa-lab and qa-channel configurations, ensuring deterministic lane policies and proper artifact logging are maintained across the workflow.

Do I need any external dependencies to run Argentum QA tests?▼

No external dependencies are required to run Argentum QA tests, as the skill coordinates qa-lab and qa-channel internally to manage repo-backed tests, seed-driven scenarios, and artifact logging without additional setup.

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