CS-test

Orchestrate a 14-agent AI team for end-to-end web app testing.

1|1|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/intenet1001-commits/CSnCompany_2-0 --skill cs-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: CS-test
Source: https://github.com/intenet1001-commits/CSnCompany_2-0/tree/main/plugins/CS-test-v22/skills/CS-test
Command: npx skills add https://github.com/intenet1001-commits/CSnCompany_2-0 --skill cs-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web apps require thorough QA across multiple domains; manual testing at scale is slow, brittle, and costly. This skill orchestrates a 14-agent AI team to cover security, SEO, performance, accessibility, data integrity, and visual quality.

Core Features & Use Cases

  • 14-agent AI team for end-to-end testing
  • Coverage includes security, SEO, performance, DB/state validation, accessibility, and image optimization
  • Use case: run a full regression test on a new feature across routes and devices

Quick Start

Type /CS-test [URL] to start a full end-to-end web test against your application.

Frequently Asked Questions about CS-test

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

FAQPage Schema
How do I automate end-to-end web app testing for performance and security?

Automate end-to-end web app testing by orchestrating a 14-agent AI team that coordinates phase-based execution to validate security, performance, accessibility, and SEO across modern web applications and APIs.

Can I run regression testing for SEO and accessibility using Playwright?

Yes, you can run regression testing for SEO and accessibility using Playwright. This AI orchestration applies parallel testing across multiple routes and devices to evaluate visual quality and data interactions.

What is the best way to coordinate AI agents for QA automation?

Coordinate AI agents for QA automation by deploying a 14-agent team that executes phase-based build validation, page exploration, and parallel testing, outputting per-agent results and a final report.

How does multi-agent web testing handle data integrity and DB state validation?

Multi-agent web testing handles data integrity by assigning specialized AI agents to validate database state and data interactions during parallel execution, ensuring comprehensive coverage of backend logic.

Do I need to manually compile test results from each AI tester?

No, you do not need to manually compile test results. The orchestration automatically aggregates per-agent results from the parallel testing phases and outputs a final REPORT.md file.