Automate end-to-end manual QA for the Volume app's core user journeys.
npx skills add https://github.com/misty-step/volume --skill volume-manual-qa
Please help me install this Agent Skill. Skill: volume-manual-qa Source: https://github.com/misty-step/volume/tree/main/.agents/skills/volume-manual-qa Command: npx skills add https://github.com/misty-step/volume --skill volume-manual-qa
Manual QA regression pass for the Volume app is time-consuming and error-prone; this skill provides a repeatable, automated QA flow to validate critical user journeys and generate artifact-backed evidence.
Run the volume-manual-qa script to execute the automated QA and produce a test report.
High-intent search queries and answers about installing and using this skill.
End-to-end QA for the Volume app is automated through a scripted workflow that covers authentication, health checks, paywall gating, and workspace validation while generating structured test reports.
Manual QA regression testing for the Volume app covers critical user journeys including health endpoints, authentication, paywall gating, the Today workspace, and the Coach flow, producing screenshots and logs for traceability.
Yes, you can use browser automation scripts to perform pre-merge verification, catching regressions before pull requests and validating critical user flows after major changes.
Yes, running these QA scripts requires specific dependencies including agent-browser, bun, curl, and jq to execute environment validation and browser automation tasks successfully.
You collect evidence artifacts during automated QA testing by executing the scripted workflow, which automatically captures screenshots, logs, and semantic coach responses for full traceability and structured reporting.
The best way to validate paywall gating and authentication flows is to run an automated end-to-end QA script that tests these specific user journeys and outputs artifact-backed evidence for verification.
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