Monitor live production URLs for console errors and performance regressions.
npx skills add https://github.com/TobiasPerry/aws-hackathon --skill canary-tobiasperry
Please help me install this Agent Skill. Skill: canary Source: https://github.com/TobiasPerry/aws-hackathon/tree/main/.claude/skills/gstack/canary Command: npx skills add https://github.com/TobiasPerry/aws-hackathon --skill canary-tobiasperry
This Skill provides a safety net after deploys by continuously monitoring production URLs for console errors, performance regressions, and page failures using a browse daemon and baseline comparisons.
Type /canary <url> to start a 10-minute live canary monitoring session on your production site.
High-intent search queries and answers about installing and using this skill.
Post-deploy canary monitoring uses a browse daemon to continuously check live production URLs, detecting console errors, performance regressions, and page failures by comparing real-time metrics against a pre-deploy baseline.
Baseline comparison in canary monitoring captures pre-deploy page metrics like performance and error rates, then compares them against live production data to quickly identify regressions introduced by the new deployment.
You can start a 10-minute live canary monitoring session by entering the /canary command followed by your target production URL, which initiates baseline capture, page discovery, and continuous health reporting.
Yes, this canary monitoring runs as a standalone process with no external dependencies or components required, using only an internal browse daemon to discover pages, capture baselines, and generate structured health alerts.
Health reporting for post-deploy canary checks includes concise post-run summaries with actionable alerts for console errors and performance regressions, plus page-level prompts generated to guide immediate remediation of detected failures.
Yes, the canary workflow supports optional baseline updates during continuous monitoring, allowing you to refresh the stored pre-deploy snapshot if you need to reset performance or error thresholds mid-session.
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