canary

Monitor live deployments for console errors and performance regressions.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/SakshamKandel/Salt-Route-Consulting- --skill canary-sakshamkandel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/SakshamKandel/Salt-Route-Consulting-/tree/main/.agents/skills/canary
Command: npx skills add https://github.com/SakshamKandel/Salt-Route-Consulting- --skill canary-sakshamkandel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring reduces risk by continuously validating the live app after release, surfacing errors and performance regressions early.

Core Features & Use Cases

  • Watches the live app for console errors, latency spikes, and page failures using the browse daemon.
  • Takes periodic screenshots and compares them against pre-deploy baselines to detect regressions.
  • Alerts teams when anomalies are detected during post-deploy verification or in production.

Quick Start

Run the canary skill after deployment to monitor live app health and trigger alerts.

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?

Post-deploy canary monitoring checks your live web application for console errors, latency spikes, and page failures after a release. It uses a browse daemon and periodic screenshots to continuously validate app health and surface regressions early.

How do I set up post-deploy verification for web applications?

Post-deploy verification for web applications involves running a canary check immediately after deployment. The workflow orchestrates monitoring tasks using permitted tools like Bash, Read, and Write to track live app health and trigger alerts when failures occur.

Can I detect production performance regressions using periodic screenshots?

Yes, detecting production performance regressions with periodic screenshots is possible by comparing them against pre-deploy baselines. This visual comparison helps identify page failures and latency spikes during ongoing canary checks in production.

What is a canary check in production monitoring?

A canary check in production monitoring is the continuous validation of a live app after release. It reduces deployment risk by watching the application for console errors and latency spikes, alerting teams early when anomalies are detected.

Do I need specific tools to run ongoing canary checks across web applications?

Yes, ongoing canary checks require integration with the canary workflow and permitted tools including Bash, Read, Write, Glob, and AskUserQuestion. These tools orchestrate the monitoring tasks, browse daemon usage, and alerting for your web applications.