Explore web applications to find bugs and produce evidence-rich reports.
npx skills add https://github.com/vobase/vobase --skill dogfood-vobase
Please help me install this Agent Skill. Skill: dogfood Source: https://github.com/vobase/vobase/tree/main/.agents/skills/dogfood Command: npx skills add https://github.com/vobase/vobase --skill dogfood-vobase
This Skill enables systematic exploratory testing of web applications to uncover bugs, UX issues, console errors, and reproducible failures while producing evidence-rich reports that can be handed directly to responsible teams.
Start a dogfood session on the target URL using default settings and save results to ./dogfood-output/.
High-intent search queries and answers about installing and using this skill.
Exploratory testing to find bugs with full reproducible evidence requires a headless browser agent to capture screenshots, video recordings, and session state. This approach systematically documents step-by-step interactions to produce evidence-rich reports for development teams.
Yes, testing authentication flows with saved session state is supported for repeatable bug reproduction. The system detects and drives login flows, handles OTP code entry, and maintains session state across named browser sessions to reliably reproduce interactive issues.
Automated QA and dogfood testing on single-page web applications requires a headless browser agent with DOM interaction, form filling, command-line tooling, and screenshot capabilities. This environment enables systematic exploration of admin dashboards and internal platforms.
The best way to capture annotated screenshots and video recordings for bug reports is using a headless browser agent that drives interactive workflows. It automatically records step-by-step DOM interactions and appends findings to a templated report for responsible teams.
Yes, exploratory testing works effectively for uncovering UX issues and console errors in admin dashboards. It follows an issue taxonomy and checklist to prioritize core workflows, classifying severity while capturing interactive failures with screen recordings.
Dogfooding internal platforms with complex session state depends heavily on headless browser agent capabilities for DOM interaction and session capture. Limitations arise if the target application requires advanced authentication mechanisms or browser tooling beyond standard command-line agent support.
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