canary

Monitor a live URL for console errors, performance regressions, and page failures after deploy.

1|Updated Mar 28, 2026

Search Tags:#monitoring #production #reliability #baseline #alerting #canary #pages

Ready to run

npx skills add https://github.com/shhubbh/flowstate --skill canary-shhubbh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/shhubbh/flowstate/tree/main/.claude/skills/gstack/canary
Command: npx skills add https://github.com/shhubbh/flowstate --skill canary-shhubbh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Canary-based post-deploy monitoring catches production issues that slip past CI, including console errors, performance regressions, and page failures, so you can triage and fix before users notice.

Core Features & Use Cases

Baseline capture before and after deploy to detect drift
Continuous page health checks with alerting on regressions
Page-level detail including console errors, load times, and performance signals

Quick Start

Run /canary <url> to begin monitoring production after deployment.

Frequently Asked Questions about canary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor a live URL for production issues after deployment?▼

Monitor a live URL for production issues by running a post-deploy check that observes page health for 10 minutes to detect console errors, performance regressions, and page failures before users notice.

What is canary-based post-deploy monitoring and when do I need it?▼

Canary-based post-deploy monitoring catches production issues that slip past CI by capturing baseline metrics before and after deploy to detect drift, requiring continuous health checks when deploying new code.

How do I set up continuous page health checks with alerting on regressions?▼

Set up continuous page health checks with alerting by running a post-deploy monitor that captures baseline metrics, then continuously evaluates live URLs to trigger alerts when console errors or performance regressions occur.

Does post-deploy monitoring work with multiple pages and baseline capture?▼

Yes, post-deploy monitoring operates across optional pages and baseline capture, allowing you to track page-level detail including console errors, load times, and performance signals for multiple URLs simultaneously.

What is the best way to detect production page failures before users notice?▼

The best way to detect production page failures early is canary monitoring, which tracks a live URL for 10 minutes after deploy to generate structured health summaries and alerts for immediate triage.

Why does my production deployment show performance regressions after passing CI?▼

Production deployments show performance regressions after passing CI because canary monitoring captures real-time page load times and performance signals under live conditions that baseline CI environments cannot replicate.