Monitors a deployed URL for console, performance, and page anomalies.
npx skills add https://github.com/benrapport/Vote-Better --skill canary-benrapport
Please help me install this Agent Skill. Skill: canary Source: https://github.com/benrapport/Vote-Better/tree/main/.claude/skills/gstack/canary Command: npx skills add https://github.com/benrapport/Vote-Better --skill canary-benrapport
Production deployments can silently fail after release. This monitoring workflow watches a live app for console errors, performance regressions, and page failures to surface anomalies early.
Run /canary https://example.com to start a 10-minute canary on your production URL.
High-intent search queries and answers about installing and using this skill.
Monitor a production URL for post-deploy issues by running a browser-based canary against the target endpoint. The tool takes screenshots, collects metrics, and observes console logs to surface page failures and visual regressions early.
Post-deploy canary monitoring is a reliability technique that watches a live app for console errors, performance drops, and page failures. It captures baseline metrics and compares subsequent page loads against them to detect regressions after release.
Yes, you can compare current page behavior against a captured baseline after release. The monitoring workflow captures baseline metrics and screenshots, then compares subsequent page loads to detect performance regressions and visual anomalies.
Start a canary monitor on your live app by running the command with your target URL. This initiates a 10-minute browser-based monitoring session that observes console logs, load times, and page behavior for alerts.
Yes, post-deploy monitoring works without external alerting infrastructure. The browser-based monitor directly observes the target URL, compares metrics against baselines, and raises actionable alerts and guidance for triage when regressions appear.
Use canary monitoring instead of standard uptime checks when you need to detect silent production failures like console errors, performance regressions, and visual integrity issues. It provides page-level comparisons and actionable alerts for quick rollback decisions.
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makyua-sanMonitor production deployments for console errors, performance regressions, and page failures.
shogo-labsMonitor live web app health via console errors, performance, and page failures.
allthingslinuxAutomate HTTP endpoint health checks and export uptime data via a public API.
