gstack-canary

Monitors deployed applications for console errors, performance regressions, and page failures using browser automation.

Updated Jun 24, 2026

Search Tags:#monitoring #deployment #screenshots #production #regression #canary #console errors

Ready to run

npx skills add https://github.com/tayiorbeii/paperclip-factory-kit-hermes --skill gstack-canary-tayiorbeii

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gstack-canary
Source: https://github.com/tayiorbeii/paperclip-factory-kit-hermes/tree/main/skills/paperclip/gstack-canary
Command: npx skills add https://github.com/tayiorbeii/paperclip-factory-kit-hermes --skill gstack-canary-tayiorbeii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After deploying to production, teams often lack visibility into whether the live app actually works for real users. This Skill watches the deployed application for console errors, performance regressions, and page failures, catching problems before users report them. ## Core Features & Use Cases - Post-Deploy Monitoring: Watches the live app through a browse daemon, detecting console errors and page failures as they happen. - Visual Baseline Comparison: Takes periodic screenshots and compares them against pre-deploy baselines to catch visual regressions. - Anomaly Alerting: Alerts on anomalies detected during the canary window so issues surface immediately after a deploy. - Use Case: After shipping a new release, run a canary check to watch production for 15 minutes, comparing screenshots against the pre-deploy baseline and alerting if console errors spike. ## Quick Start Ask the agent to monitor the deployment and watch production for errors with a canary check.

Frequently Asked Questions about gstack-canary

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

FAQPage Schema

How do I monitor my app after deployment for errors?▼

Run a canary check that watches the live app through a browse daemon, capturing console errors, page failures, and performance regressions. It takes periodic screenshots and compares them against pre-deploy baselines, alerting on anomalies.

What is a canary check for production deployments?▼

A canary check observes the live application immediately after a deploy to catch problems before users do. This Skill automates it by browsing the app, collecting console errors, and diffing screenshots against baselines.

Can I compare screenshots before and after a deploy?▼

Yes. The Skill captures periodic screenshots of the live app and compares them against pre-deploy baselines to detect visual regressions. Anomalies trigger alerts during the monitoring window.

When should I use post-deploy monitoring versus pre-deploy testing?▼

Use post-deploy canary monitoring to catch environment-specific issues that staging tests miss, such as CDN misconfigurations or production-only API failures. Pre-deploy testing validates code; canary monitoring validates the live running system.

Why does canary monitoring require a browse daemon?▼

The browse daemon provides automated browser sessions needed to load pages, capture console output, and take screenshots of the live app. Without it, the Skill cannot observe real page behavior in production.