gstack-canary

Monitor live apps post-deployment for console errors, performance regressions, and page failures.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/AlexandreLab/dotfiles --skill gstack-canary-alexandrelab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-canary
Source: https://github.com/AlexandreLab/dotfiles/tree/main/claude/skills/gstack-canary
Command: npx skills add https://github.com/AlexandreLab/dotfiles --skill gstack-canary-alexandrelab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Watches a live app after deployment to detect console errors, performance regressions, and page failures, alerting you when anomalies appear.

Core Features & Use Cases

  • Live post-deploy monitoring using the browse daemon to detect console errors
  • Baseline capture with periodic screenshots for comparison against pre-deploy baselines
  • Telemetry and configurable checks to improve reliability across deployments

Quick Start

Start monitoring production by running /canary <url> with optional flags to customize duration, pages, and baseline behavior.

Frequently Asked Questions about gstack-canary

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

FAQPage Schema
How do I monitor a live app for console errors after a production deployment?

Post-deploy monitoring watches a live app for console errors, performance regressions, and page failures using the browse daemon. It captures periodic screenshots and compares them against pre-deploy baselines to alert you on anomalies within a defined duration.

What is a canary check in software reliability and when do I need it?

A canary check is a deterministic monitoring process that validates live application behavior immediately after a deployment. You need it to detect performance regressions and page failures by comparing live telemetry and screenshots against pre-deploy baselines.

How do I configure telemetry and page coverage for deterministic canary runs?

You can configure optional telemetry, baselines, and page coverage to support deterministic canary runs. Start monitoring by running the canary command against your target URL with optional flags to customize duration, pages, and baseline comparison behavior.

Does the browse daemon support capturing pre-deploy baselines for comparison?

Yes, the browse daemon supports baseline capture by taking periodic screenshots of your live application. These pre-deploy baselines are then compared against live post-deploy telemetry and visual states to alert you when anomalies appear.

What is the best way to detect page failures and performance regressions after a release?

The best way to detect post-release regressions is running automated canary checks that monitor live page behavior against pre-deploy baselines. This approach captures screenshots and console errors, alerting you to page failures and performance issues within a defined duration.

Limitations of using post-deploy screenshots for reliability monitoring?

Post-deploy screenshot monitoring requires pre-deploy baselines for comparison and is limited to detecting visual and console anomalies within a configured duration. It relies on the browse daemon to watch specific pages, meaning unmonitored routes will not be checked for failures.