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dogfood

Navigate web applications, capture evidence, and generate structured bug reports.

Updated Oct 23, 2024
Search Tags:#browser automation#bug reporting#web applications#QA testing#AI-driven testing
One-click install
npx skills add https://github.com/lenadlm/docker --skill dogfood-lenadlm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dogfood
Source: https://github.com/lenadlm/docker/tree/main/hermes-skills/skills/dogfood
Command: npx skills add https://github.com/lenadlm/docker --skill dogfood-lenadlm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates exploratory QA testing of web applications, helping to find and report bugs and issues efficiently.

Core Features & Use Cases

  • Automated Browser Navigation: Navigate through a web application, interacting with elements and capturing evidence of issues.
  • Evidence Collection: Take screenshots, record console logs, and analyze DOM structure.
  • Structured Bug Reporting: Generate a structured bug report with detailed information about issues.
  • Use Case: For software development teams looking to automate and streamline the QA testing process for their web applications.

Quick Start

Execute the skill with the target URL, testing scope, and optional output directory to perform exploratory QA testing.

Frequently Asked Questions about dogfood

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

FAQPage Schema
How do I automate exploratory QA testing for web applications?▼

Automated exploratory QA testing for web applications is performed by navigating through the app, interacting with elements, capturing evidence like screenshots and console logs, and generating a structured bug report.

How does AI-driven testing capture and report web application bugs?▼

AI-driven testing captures web application bugs by navigating the app, taking screenshots, recording console logs, analyzing DOM structure, and using AI image analysis to produce a structured bug report.

What do I need to run automated browser navigation and bug reporting workflows?▼

To run automated browser navigation and bug reporting workflows, you need browser automation tools and AI image analysis capabilities, along with a target URL and testing scope provided as input.

Can I use AI image analysis to find issues during web application QA testing?▼

AI image analysis is used during web application QA testing to evaluate captured screenshots, identify visual issues, and generate a structured bug report detailing the discovered defects.

What is the best way to generate structured bug reports from web applications?▼

The best way to generate structured bug reports from web applications is using an automated QA testing process that captures screenshots, records console logs, and analyzes DOM structure during navigation.

Does automated QA testing work without manual interaction for finding issues efficiently?▼

Automated QA testing works without manual interaction by navigating the target URL, interacting with elements automatically, and capturing evidence of issues to find and report bugs efficiently.

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