cybrscan

Capture website screenshots and generate AI-driven inspection reports with accessibility and page-stat JSON artifacts.

Updated Mar 18, 2026

Search Tags:#accessibility #playwright #ai vision #design QA #ux audit #website inspection #seo-adjacent

Ready to run

npx skills add https://github.com/M4ST3R-C0NTR0L/cybrflux-skills --skill cybrscan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cybrscan
Source: https://github.com/M4ST3R-C0NTR0L/cybrflux-skills/tree/main/skills/cybrscan
Command: npx skills add https://github.com/M4ST3R-C0NTR0L/cybrflux-skills --skill cybrscan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cybrscan turns any webpage into a visual and technical analysis report, helping you identify design, UX, accessibility, and quality issues without manual browsing and guesswork.

Core Features & Use Cases

Visual QA with Screenshots: Captures full-page and above-the-fold screenshots for quick review and comparison across devices.
AI Vision + Technical Diagnostics: Generates an AI assessment of design/UX/technical problems and suggests improvements.
Accessibility and Page Intelligence Outputs: Produces an accessibility tree (JSON) and page stats (JSON) alongside the report for deeper triage.
Use Case: You can scan a landing page before launch to prioritize what to fix for conversion, mobile usability, and technical health.

Quick Start

Run the cybrscan command on the target URL and review the generated Markdown report plus the saved screenshots.

Frequently Asked Questions about cybrscan

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

FAQPage Schema

How do I run an automated website inspection for UX and accessibility issues?▼

Automated website inspection uses Playwright to capture full-page and above-the-fold screenshots alongside an AI vision model to analyze design, UX, and accessibility problems. This generates a Markdown report with an accessibility tree and page stats for actionable remediation.

What is AI-driven visual QA and how does it assess mobile versus desktop webpages?▼

AI-driven visual QA uses a vision model via OpenRouter to evaluate captured webpage screenshots and identify design issues. It compares mobile and desktop views by analyzing the visual evidence and producing an assessment report for iterative improvements.

Can I use Playwright to generate an accessibility tree and page stats for a pre-launch review?▼

Yes, Playwright captures webpage visual evidence and technical artifacts to produce an accessibility tree in JSON and page stats in JSON. These outputs are generated alongside an AI assessment report for pre-launch triage and conversion optimization.

Does website inspection require manual browsing to identify design and technical problems?▼

No, website inspection eliminates manual browsing by using Playwright with a vision model to analyze the target URL. It captures screenshots and outputs a comprehensive Markdown report diagnosing design, UX, and technical health issues.

What is the best way to perform a design QA audit on a landing page before launch?▼

The best way to perform a design QA audit is running an automated scan on the target URL to capture visual evidence. The AI vision model evaluates the screenshots and generates a remediation report prioritizing mobile usability and conversion factors.

Are there limitations to using an AI vision model for website accessibility diagnostics?▼

AI vision model accessibility diagnostics rely on captured screenshots and a generated accessibility tree JSON for analysis. While useful for identifying visual and technical A11y issues, complex interactive states may require further manual triage beyond the initial page stats.