canary-watch

Monitor deployed web applications for performance regressions and console errors.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Michae2xl/claude-skills-michael --skill canary-watch-michae2xl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary-watch
Source: https://github.com/Michae2xl/claude-skills-michael/tree/main/skills/canary-watch
Command: npx skills add https://github.com/Michae2xl/claude-skills-michael --skill canary-watch-michae2xl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides continuous monitoring of deployed applications to detect and alert on potential issues, ensuring the stability and performance of your applications post-deployment.

Core Features & Use Cases

  • Post-Deploy Monitoring: Continuously monitor a deployed URL for regressions.
  • Quick Check: Single pass to quickly report results.
  • Sustained Watch: Regular checks over a specified duration.
  • Diff Mode: Compare staging vs production for consistency.
  • Alert Thresholds: Set critical, warning, and info thresholds for notifications.
  • Notifications: Desktop notifications and optional Slack/Discord webhook.
  • Integration: Pair with other tools for pre-deploy verification and CI/CD pipelines.

Quick Start

Run a quick check on your application by executing the command: /canary-watch https://myapp.com

Frequently Asked Questions about canary-watch

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

FAQPage Schema
How do I monitor a deployed web application for performance regressions and console errors?

To monitor a deployed web application for performance regressions and console errors, you can use a sustained watch or quick check feature. It utilizes HTTP requests and error handling to detect network failures, content changes, and ensure post-deployment stability.

What is the best way to compare staging and production environments for consistency?

The best way to compare staging and production environments for consistency is using diff mode. It monitors deployed URLs to detect content changes and performance regressions between environments, ensuring application stability before full production release.

Can I set custom alert thresholds for post-deployment application monitoring?

Yes, you can set custom alert thresholds for post-deployment application monitoring. You define critical, warning, and info levels to receive notifications about detected performance regressions, console errors, and network failures via desktop or webhooks.

How do I run a quick check on my application's URL to report stability results?

To run a quick check on your application's URL and report stability results, execute a single pass command targeting the deployed web address. This quickly scans for performance regressions, console errors, and network failures.

Does post-deployment regression detection work with Slack or Discord notifications?

Yes, post-deployment regression detection works with optional Slack or Discord webhooks. When alert thresholds for critical issues, warnings, or info are triggered during sustained monitoring, notifications are sent directly to your configured channels.

Can I integrate sustained URL monitoring into CI/CD pipelines for stability assurance?

Yes, you can integrate sustained URL monitoring into CI/CD pipelines for stability assurance. Pair the quick check and sustained watch features with other tools to perform pre-deploy verification and ensure application stability post-deployment.