canary

Monitor deployed URLs for console errors, performance regressions, and visual changes.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/mulyoved/awesome-agent-ides --skill canary-mulyoved
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/mulyoved/awesome-agent-ides/tree/main/.agents/skills/gstack/canary
Command: npx skills add https://github.com/mulyoved/awesome-agent-ides --skill canary-mulyoved

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps teams catch production issues early by continuously watching a live URL for console errors, performance regressions, and visual failures, and by surfacing actionable alerts.

Core Features & Use Cases

  • Baseline capture before deployment
  • Automated page checks and anomaly alerts
  • Configurable pages, duration, and alert rules for production monitoring

Quick Start

Start a canary run on the deployed URL to baseline, monitor pages, and alert on anomalies.

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 console errors and performance regressions after a production deployment?

Post-deploy monitoring checks a live URL every 60 seconds to detect console errors, performance regressions, and visual changes, comparing the deployed state against a captured baseline to alert you to anomalies for fast reliability verification.

What is a baseline capture and when do I need it for production monitoring?

A baseline capture records the healthy state of your pages before a deployment. You need it during production monitoring to establish a reference point for detecting visual changes, console errors, and performance regressions after new code goes live.

How do I set up automated page checks and anomaly alerts for post-deploy verification?

Configure target pages, monitoring duration, and alert rules to start a canary run. The system automatically loads live pages every 60 seconds, checks for anomalies against the baseline, and generates a structured health report for post-deploy verification.

Do I need a browse daemon to run post-deploy canary monitoring?

Yes, you need a browse daemon to load live pages for post-deploy canary monitoring. The daemon enables the system to render URLs, capture the baseline, and perform the automated per-page checks required to detect visual and performance regressions.

Can I configure alert rules and monitoring duration for specific production pages?

Yes, production monitoring supports configurable pages, duration, and alert rules. You can define which specific URLs to watch, set the monitoring window, and establish custom alerting thresholds to receive a structured canary report for post-deploy verification.

What does a structured canary report include for post-deploy reliability checks?

A structured canary report includes the results of automated per-page checks for console errors, performance regressions, and visual changes. It surfaces actionable alerts based on your configured rules and the captured baseline to verify post-deploy reliability.