Run canary checks on production web apps to detect console errors and performance regressions.
npx skills add https://github.com/Andy-HNU/AndyClaw --skill canary-andy-hnu
Please help me install this Agent Skill. Skill: canary Source: https://github.com/Andy-HNU/AndyClaw/tree/main/skills/gstack-canary Command: npx skills add https://github.com/Andy-HNU/AndyClaw --skill canary-andy-hnu
Post-deploy reliability can be hard to verify without live monitoring. This skill automates canary checks after deployment to catch console errors, performance regressions, and page failures by comparing against baselines and alerting on anomalies.
Monitor a live URL for post-deploy health using the default 10-minute duration and auto-discovered pages.
High-intent search queries and answers about installing and using this skill.
Automated post-deploy canary monitoring runs periodic checks on production web apps to detect console errors, performance regressions, and page failures by comparing live metrics against captured baselines.
Baseline capture records reference console error counts and performance metrics before deployment. Canary checks then compare post-deploy telemetry against this baseline to detect regressions and alert on anomalies.
Canary checks are configurable by specifying target URLs, duration, and pages to monitor. The default setting runs a 10-minute check with auto-discovered pages across live endpoints.
Yes, canary monitoring captures screenshots, collects console error counts, logs performance metrics, and records telemetry during periodic checks to enable repeatable verification and auditing.
Automated canary checks provide post-deploy reliability verification by comparing live production telemetry against baselines, alerting SREs to anomalies like page failures or performance regressions.
Baseline data establishes a reference point for console errors and performance metrics. Without it, canary checks cannot identify post-deploy regressions or determine if detected anomalies represent new failures.
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