canary

Monitors live production after deploys for console errors, performance regressions, and page failures.

5|1|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/forbotsake/forbotsake --skill canary-forbotsake
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/forbotsake/forbotsake/tree/main/.claude/skills/gstack/canary
Command: npx skills add https://github.com/forbotsake/forbotsake --skill canary-forbotsake

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps catch issues that slip past CI, by watching live production for errors, performance regressions, and visible failures.

Core Features & Use Cases

  • Watches console errors, performance regressions, and page failures
  • Takes periodic screenshots and compares against pre-deploy baselines
  • Alerts on anomalies and integrates with deployment workflows
  • Use after deploy, during canary runs, or for post-deploy verification in production

Quick Start

Provide the live URL to monitor and start the canary to watch for anomalies during the first minutes after deploy.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor live deployments for console errors and performance regressions?▼

Monitor live deployments for console errors and performance regressions by starting a post-deploy canary watch on the live URL. It takes periodic screenshots, compares them against pre-deploy baselines, and raises alerts when anomalies appear.

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

Post-deploy canary monitoring is the process of watching live production environments for visible failures and errors that slip past CI. You need it during canary runs or for post-deploy verification immediately after releasing new code.

How do I verify production health after a deploy using browser baselines?▼

Verify production health after a deploy by capturing pre-deploy baseline screenshots and comparing them against periodic live screenshots. The browse daemon watches the provided URL and alerts you on visual or performance deviations.

Can I use this canary monitoring for ongoing post-deploy verification in production?▼

Yes, you can use this canary monitoring for post-deploy verification in production. It applies after deploys and during canary runs, continuously checking for page failures, console errors, and performance regressions while integrating with your deployment workflows.

What's the best way to catch page failures that slip past CI during a canary release?▼

The best way to catch page failures that slip past CI is running a post-deploy canary monitor. It actively watches the live deployment URL for console errors and visible page failures, alerting you on anomalies detected during the initial release minutes.

Why do I need a pre-deploy baseline for post-deploy anomaly alerts?▼

You need a pre-deploy baseline for post-deploy anomaly alerts so the canary monitor has a reference point. It compares periodic screenshots taken after the deploy against this baseline to accurately detect and alert on visual or performance regressions.