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martin-hsu-test
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canary

Monitor a URL for 10 minutes post-deploy to detect console errors, latency regressions, and page failures.

1|Updated Apr 8, 2026
Search Tags:#monitoring#reliability#alerts#browser#canary#baselines#post-deploy
One-click install
npx skills add https://github.com/martin-hsu-test/gstack-gemini-slim --skill canary-martin-hsu-test
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/martin-hsu-test/gstack-gemini-slim/tree/main/.gemini/skills/gstack-canary
Command: npx skills add https://github.com/martin-hsu-test/gstack-gemini-slim --skill canary-martin-hsu-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps SREs quickly surface console errors, performance regressions, and page failures in live apps after deploy, before users notice.

Core Features & Use Cases

  • Canary monitoring of live production apps for errors, latency, and failures.
  • Baseline capture and anomaly alerts to detect regressions.
  • Screenshots, logs, and perf data collected to aid fast triage.

Quick Start

Run the canary against your URL to observe post-deploy health for 10 minutes and generate a baseline plus a report.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor post-deploy health for live web apps?▼

Canary monitoring observes a live URL for 10 minutes to detect page failures, console errors, and latency regressions. It collects screenshots, logs, and performance data to help triage issues before users notice.

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

Canary monitoring captures a baseline of web performance and then alerts on anomalies. It detects latency regressions by comparing live post-deploy metrics against this captured baseline.

Do I need a browser daemon to run real time canary monitoring?▼

Yes, real time canary monitoring requires the Gemini browse daemon to monitor the live production URL. This daemon enables the continuous browser session needed to capture errors and generate structured results.

How do I capture a performance baseline before comparing post-deploy metrics?▼

Run a monitoring session against your URL to capture a performance baseline before or during deployment. The session records initial latency and error metrics, generating a report for comparison.

Can I use post-deploy alerts to triage console errors in production?▼

Yes, post-deploy alerts surface console errors, page failures, and performance regressions in real time. The structured canary results include screenshots and logs to help you quickly triage these production issues.

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