canary

Monitor live websites for HTTP status, console errors, and performance metrics.

Updated Jun 21, 2026
One-click install
npx skills add https://github.com/apexradius/agentic-os --skill canary-apexradius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/apexradius/agentic-os/tree/main/skills/canary
Command: npx skills add https://github.com/apexradius/agentic-os --skill canary-apexradius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The canary skill solves the problem of post-deployment monitoring by providing automated checks and alerts to detect errors, performance regressions, and broken pages on a live site.

Core Features & Use Cases

  • Automated Monitoring: Regularly checks the live site for issues like HTTP status, console errors, performance, visual consistency, and network failures.
  • Custom Baseline Comparison: Uses baseline screenshots to detect deviations and compares performance metrics against predefined thresholds.
  • Alert Conditions: Sets up alert levels for critical errors, new console errors, performance regressions, and visual differences that require manual review.

Quick Start

Run the canary skill with your target URL and a duration in minutes, e.g., 'canary https://example.com 60'.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor live site health after a deployment?

Post-deployment monitoring checks live web sites for HTTP status, console errors, performance metrics, visual consistency, and network failures. It uses automated checks against a baseline to detect and report issues immediately after release.

What is automated canary monitoring for web applications?

Automated canary monitoring is the process of checking a live site's health post-deployment. It compares current performance metrics and visual outputs against a predefined baseline to identify regressions, broken pages, and new console errors.

How do I detect performance regressions and visual differences on a live site?

Detect performance regressions and visual differences by setting up alert conditions that compare live site behavior against baseline screenshots and predefined performance thresholds. This identifies issues requiring manual review.

Do I need a baseline screenshot to run post-deployment health checks?

Yes, a comparison baseline is required. The monitoring process uses baseline screenshots to detect visual deviations and compares current performance metrics against predefined thresholds to identify regressions.

What types of errors can post-deployment monitoring detect on a live web site?

Post-deployment monitoring can detect HTTP status errors, new console errors, network failures, performance regressions, and visual inconsistencies. It categorizes these issues using alert levels to identify critical errors requiring manual review.

Can I run automated health checks for a specific duration on a live URL?

Yes, you can run automated health checks on a live URL by specifying a target site and a duration in minutes. The checks monitor for HTTP status, console errors, and network failures throughout that period.