Monitor live URLs for anomalies after deployment with baseline comparisons.
npx skills add https://github.com/mattothomas/sp26_hackpsu --skill canary-mattothomas
Please help me install this Agent Skill. Skill: canary Source: https://github.com/mattothomas/sp26_hackpsu/tree/main/.claude/skills/gstack/canary Command: npx skills add https://github.com/mattothomas/sp26_hackpsu --skill canary-mattothomas
Post-deploy production monitoring solves the problem of catching issues that slip through CI by watching a live URL for anomalies. It operates across scenarios like quick verification after deploy, long-running monitoring with a baseline comparison, and page-level health checks using the browse daemon. It satisfies requirements for baseline handling, page selection, and timed monitoring windows.
Run /canary <url> after deployment to monitor the app for 10 minutes and surface issues.
High-intent search queries and answers about installing and using this skill.
To monitor a production URL for anomalies after a deployment, run a post-deploy monitoring command against the live app to watch the URL and surface issues that slipped through CI.
Post-deploy production monitoring catches issues that CI misses by watching a live URL for anomalies, taking periodic screenshots, and comparing against a captured baseline to alert on regressions.
Yes, you can perform baseline comparisons during long-running production monitoring by capturing an initial baseline and comparing subsequent periodic screenshots to detect visual or page-level anomalies.
You can run a quick health check on a live app after deploying by executing a monitoring command against the target URL to verify page-level health and surface issues over a timed monitoring window.
Yes, post-deploy monitoring uses the browse daemon to perform page-level health checks, discover pages, and watch live apps for anomalies during the specified monitoring window.
The best way to set up timed monitoring windows for production alerts is to initiate a post-deploy monitoring session that watches the live URL for a set duration, such as a 10-minute timed window, to surface issues.
a29paulMonitor production deployments for console errors, performance regressions, and visual anomalies.
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jm199seoMonitor live pages for errors and performance regressions after deploys.
petbrainsIdentify visual regressions across viewports and interactions before deployment.
