canary

Monitor live production URLs for console errors, performance regressions, and page failures.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/him55710-sudo/uni-foli --skill canary-him55710-sudo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/him55710-sudo/uni-foli/tree/main/.agents/skills/gstack-canary
Command: npx skills add https://github.com/him55710-sudo/uni-foli --skill canary-him55710-sudo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring watches the live application after deployment to detect runtime issues such as console errors, performance regressions, and broken pages before users are affected.

Core Features & Use Cases

  • Monitors the live production app for console errors, performance regressions, and page failures
  • Takes periodic screenshots and compares them against pre-deploy baselines
  • Alerts on anomalies and guides remediation for post-deploy reliability

Quick Start

Run /canary <url> to start a 10-minute production canary that captures baselines, monitors pages, and reports results.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor a production URL for post-deploy reliability issues?

Post-deploy reliability monitoring tracks a live production URL to detect console errors, performance regressions, and page failures by capturing baselines, taking periodic screenshots, and alerting on anomalies during a configured duration.

What is a canary deployment check and how does it detect runtime issues?

A canary deployment check watches the live application after release to detect runtime issues such as console errors and broken pages, comparing periodic screenshots and performance metrics against pre-deploy baselines to alert on anomalies.

How do I run a quick 10-minute production canary after deploying?

Run a quick 10-minute production canary by targeting the live URL, which automatically captures baselines, monitors pages for failures, and reports reliability results without requiring extended configuration.

Do I need a browse daemon and screenshot capture to monitor live app reliability?

Yes, post-deploy canary monitoring requires a browse daemon, screenshot capture, console and performance metrics tooling, and baseline comparison against pre-deploy results to successfully alert on production anomalies.

Can I select specific page ranges for production canary monitoring?

Yes, production canary monitoring supports optional page-range selection, allowing you to target specific sections of the live site for baseline comparison and anomaly alerting during the configured check duration.

What is the best way to compare post-deploy performance against pre-deploy baselines?

The best way to compare post-deploy performance is by capturing pre-deploy baselines and running a production canary that takes periodic screenshots and metrics to alert on any detected regressions or page failures.