Monitor live apps for console errors, performance regressions, and page failures.
npx skills add https://github.com/gfires/motion-analysis --skill canary-gfires
Please help me install this Agent Skill. Skill: canary Source: https://github.com/gfires/motion-analysis/tree/main/canary Command: npx skills add https://github.com/gfires/motion-analysis --skill canary-gfires
Post-deploy canary monitoring watches the live app for console errors, performance regressions, and page failures. It uses a browse daemon to capture baselines, run health checks, and alert on anomalies during the post-deploy window.
Start monitoring a URL by invoking /canary with the target URL and optional flags to define duration, pages, or baseline capture.
High-intent search queries and answers about installing and using this skill.
Post-deploy canary monitoring watches the live app for console errors, performance regressions, and page failures during the monitoring window. It compares current state against pre-deploy baselines to verify deploy quality.
You can monitor live application performance regressions by invoking the canary monitoring tool with a target URL. It uses a browse daemon to capture baselines, run health checks, and alert on anomalies during the post-deploy window.
Yes, the canary monitoring process uses a browse daemon to capture baseline screenshots and compare them against pre-deploy baselines. It automatically alerts on anomalies like UI failures and slow pages during the monitoring window.
Pre-deploy baselines are captured using the browse daemon, which takes baseline screenshots of target pages. The skill coordinates setup, baseline capture, page discovery, and health checks to verify deploy quality.
No, the browse daemon is required. It is the core component used to take baseline screenshots, run health checks, discover pages, and alert on anomalies during the post-deploy monitoring window.
Post-deploy canary monitoring surfaces console errors, performance regressions, and page failures. It alerts on these anomalies during the monitoring window to quickly identify regressions before user impact.
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