Monitor live URLs for console errors, performance regressions, and page failures.
npx skills add https://github.com/geoffreywoo/clawfable --skill canary-geoffreywoo
Please help me install this Agent Skill. Skill: canary Source: https://github.com/geoffreywoo/clawfable/tree/main/.claude/skills/gstack/canary Command: npx skills add https://github.com/geoffreywoo/clawfable --skill canary-geoffreywoo
Post-deploy reliability is hard to catch before users see it. This Skill watches a live URL after deployment to detect console errors, performance regressions, and page failures so you can respond quickly.
Monitor a deployed URL for the configured duration and report baseline, screenshots, and alerts.
High-intent search queries and answers about installing and using this skill.
Post-deploy monitoring of a live URL uses a browse daemon to continuously check pages, capturing screenshots, console errors, and performance metrics over a configured duration to detect production regressions.
Baseline capture records reference page behavior before deployment. You need it to detect performance regressions by comparing post-deploy monitoring data against pre-deploy reference metrics.
Yes, you can configure targeted page sets and set a custom duration for continuous health checks using CLI flags. This focuses the browse daemon on specific production URLs for a defined time window.
You need a configured environment with the ability to store canary artifacts in the .gstack/canary-reports directory. This setup stores the screenshots, baseline data, and alert outputs generated during monitoring.
To detect performance regressions after a release, capture a pre-deploy baseline, then run a post-deploy browse daemon to compare live performance metrics against that reference over a defined duration.
Post-deploy page failures often go unnoticed without automated monitoring. Implementing a browse daemon to continuously check for console errors and page failures over a defined duration catches these issues before broader user impact.
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