nova-act-usability

Automates AI-driven usability testing for websites via Nova Act browser automation.

4|1|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/adityak6798/OpenClaw_NovaActWebsiteUsabilityTest_Skill --skill nova-act-usability
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nova-act-usability
Source: https://github.com/adityak6798/OpenClaw_NovaActWebsiteUsabilityTest_Skill/tree/main
Command: npx skills add https://github.com/adityak6798/OpenClaw_NovaActWebsiteUsabilityTest_Skill --skill nova-act-usability

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nova-act, pydantic, playwright, anthropic, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates AI-driven usability testing for websites using Nova Act browser automation, dramatically reducing manual testing effort by orchestrating contextual personas, adaptive exploration, and automated HTML reporting.

Core Features & Use Cases

  • Contextual persona generation and realistic test-case creation based on site analysis
  • Adaptive exploration: multiple strategies per task with safe-stop checks before material impact
  • Three-phase flow (Collect → Interpret → Report) with clear responsibilities between script and agent
  • Fully linked HTML reports with trace-file integrations for session replay
  • Cookbook-driven best practices loaded at test start to improve reliability and safety
  • Optional integration with Nova Act trace logs and session recordings for debugging

Quick Start

  • Install dependencies and run setup.sh in the skill directory to prepare Nova Act, Playwright, and config
  • Run the adaptive test script with a target URL to start data collection
  • In your agent context, interpret the raw results to produce a final HTML report

Frequently Asked Questions about nova-act-usability

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

FAQPage Schema
How do I automate AI-driven usability testing for website checkout and signup workflows?

AI-driven usability testing for websites is automated using Nova Act browser automation to orchestrate contextual personas, adaptive exploration, and HTML report generation for end-to-end workflows like booking and checkout.

What is adaptive exploration in AI usability testing and how does it handle safety stops?

Adaptive exploration in AI usability testing applies multiple strategies per task with safe-stop checks before material impact. This mechanism prevents irreversible actions during automated browser sessions, ensuring test reliability without completing destructive workflows.

How do I generate HTML usability reports from raw Playwright and Nova Act test data?

HTML usability reports are generated by interpreting raw test results from the adaptive test script. The agent processes the test_results_adaptive.json output to create a fully linked HTML report with trace-file integrations for session replay.

Do I need Playwright and Nova Act installed to run automated usability tests?

Playwright and Nova Act are required dependencies for automated usability tests. You must install nova-act, pydantic, and Playwright, then run setup.sh in the skill directory to prepare the environment and configuration before testing.

Can I use AI agents to create realistic test cases based on website analysis?

AI agents can create realistic test cases based on website analysis through contextual persona generation. The agent analyzes the target site and generates contextual personas to drive adaptive exploration strategies across end-to-end workflows.

What are the limitations of using Nova Act for end-to-end usability testing?

Nova Act usability testing requires a specific directory structure with SKILL.md frontmatter, scripts directory, and multiple dependencies. Complex end-to-end workflows with material impact require safe-stop checks, limiting fully autonomous execution of destructive actions.