Agent Action Optics icon

Agent Action Optics

by Mktg.Tech

v1.1 Updated Nov 8, 2025 217KiB
CWS
0
Users
★ 5.00
10 reviews
#179716
of 207.3K
developer
#15927 of 18.1K

Description

Agent Action Auditor is a developer tool designed to enhance the visibility of interactive elements on any web page, making it easier to audit, debug, and design for agent-based automation systems like Atlas or other LLM-powered UI agents. This extension programmatically scans the current page to identify actionable DOM elements—such as buttons, inputs, links, and ARIA-labeled regions—and provides: Key Features: ★ Real-Time Scanning & Categorization Automatically detects and organizes actionable elements by type: buttons, text inputs, selects, links, textareas, and ARIA-accessible regions. ★ Highlight Overlay System Applies prominent, customizable highlight markers to each matched element with animated pulsing effects—ideal for visual debugging and accessibility audits. ★ Interactive Preview Panel Displays a collapsible list of detected elements within a sticky, scrollable popup. Clicking any entry scrolls and focuses the corresponding element in the DOM. ★ Dark/Light Theme Toggle ADA-compliant popup interface with a sticky header, sticky footer, and a built-in theme switcher to match your dev environment. ★ Manual Control & Filtering Enable or disable highlighting for specific categories of elements to streamline your testing and analysis workflows. ★ Context-Aware Design Built with modern web accessibility and agent compatibility in mind. Ideal for developers building browser-integrated agents, AI copilot experiences, or RPA tooling. Use Cases: ✅ Audit web UIs for agent compatibility ✅ Visualize what an AI or automation system "sees" ✅ Test interaction readiness for LLM-based browser assistants ✅ Assist in accessibility reviews for ARIA-rich interfaces ✅ Debug interface consistency across dynamic SPAs
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Permissions (2)

Permissions

activeTab Can access the current tab when you click the extension scripting Can inject scripts into web pages

Details

Version 1.1
Updated Nov 8, 2025
Size 217KiB
First Seen Mar 29, 2026