canary

Monitor live deployments for console errors, performance regressions, and page failures.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/14nethuwa/jrag --skill canary-14nethuwa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/14nethuwa/jrag/tree/main/.agents/skills/gstack-canary
Command: npx skills add https://github.com/14nethuwa/jrag --skill canary-14nethuwa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy reliability gaps lead to silent production issues. Canary monitoring provides automated, continuous checks of live deployments to catch console errors, performance regressions, and page failures before users notice.

Core Features & Use Cases

  • Post-deploy health monitoring using a browse daemon to capture console errors, performance baselines, and screenshots.
  • Baseline comparison against pre-deploy or baseline and alert on anomalies.
  • Use Case: When you deploy, run a 10-minute check and report issues before customers see them.

Quick Start

Run /canary <url> to start a 10-minute post-deploy health check.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor production health automatically after a deployment?▼

Post-deploy production monitoring watches live deployments for console errors, performance regressions, and page failures. It runs automated checks on specified pages to catch reliability issues before users notice them.

What is canary monitoring and how does it detect performance regressions?▼

Canary monitoring is an automated reliability check that captures telemetry, screenshots, and baselines from live pages. It compares post-deploy metrics against pre-deploy baselines to detect performance regressions and anomalies.

How do I set up post-deploy alerts for console errors and page failures?▼

Run an automated health check against your live URL to capture console errors, page failures, and performance baselines. It automatically generates anomaly alerts when telemetry deviates from configured baselines.

Can I run a quick post-deploy health check without complex configuration?▼

Yes, you can run a 10-minute post-deploy health check by specifying your URL. The browse daemon automatically captures console errors, performance baselines, and screenshots without requiring additional dependencies.

Does post-deploy reliability monitoring capture screenshots of page failures?▼

Yes, automated production monitoring captures screenshots alongside console errors and performance telemetry. This provides visual verification of page failures and anomalies detected during the baseline comparison.

What are the limitations of automated baseline comparison for production monitoring?▼

Automated baseline comparison requires a pre-deploy baseline to accurately detect post-deploy anomalies. Without an established baseline, the system cannot reliably determine if observed performance regressions or errors are new issues.