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Skills/affaan-m/everything-claude-code/canary-watch
canary-watch logo

canary-watch

affaan-m/everything-claude-code
3K installs216K stars
Run it on Hostinger →Free API →|No CodePrompt Injection|View on GitHub

Installation

npx skills add https://github.com/affaan-m/everything-claude-code --skill canary-watch

Summary

Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.

SKILL.md

Canary Watch — Post-Deploy Monitoring

When to Use

  • After deploying to production or staging
  • After merging a risky PR
  • When you want to verify a fix actually fixed it
  • Continuous monitoring during a launch window
  • After dependency upgrades

How It Works

Monitors a deployed URL for regressions. Runs in a loop until stopped or until the watch window expires.

What It Watches

1. HTTP Status — is the page returning 200?
2. Console Errors — new errors that weren't there before?
3. Network Failures — failed API calls, 5xx responses?
4. Performance — LCP/CLS/INP regression vs baseline?
5. Content — did key elements disappear? (h1, nav, footer, CTA)
6. API Health — are critical endpoints responding within SLA?
7. Static Assets — are JS, CSS, image, and font requests returning 2xx/3xx with expected content types?
8. SSE Streams — do event-stream endpoints connect and receive an initial event or heartbeat?

Watch Modes

Quick check (default): single pass, report results

/canary-watch https://myapp.com

Sustained watch: check every N minutes for M hours

/canary-watch https://myapp.com --interval 5m --duration 2h

Diff mode: compare staging vs production

/canary-watch --compare https://staging.myapp.com https://myapp.com

Alert Thresholds

critical:  # immediate alert
  - HTTP status != 200
  - Console error count > 5 (new errors only)
  - LCP > 4s
  - API endpoint returns 5xx
  - Static asset returns 4xx/5xx
  - SSE endpoint cannot connect or drops before first heartbeat

warning:   # flag in report
  - LCP increased > 500ms from baseline
  - CLS > 0.1
  - New console warnings
  - Response time > 2x baseline
  - Static asset content type changed unexpectedly
  - SSE heartbeat latency > 2x baseline

info:      # log only
  - Minor performance variance
  - New network requests (third-party scripts added?)

Notifications

When a critical threshold is crossed:

  • Desktop notification (macOS/Linux)
  • Optional: Slack/Discord webhook
  • Log to ~/.claude/canary-watch.log

Output

## Canary Report — myapp.com — 2026-03-23 03:15 PST

### Status: HEALTHY ✓

| Check | Result | Baseline | Delta |
|-------|--------|----------|-------|
| HTTP | 200 ✓ | 200 | — |
| Console errors | 0 ✓ | 0 | — |
| LCP | 1.8s ✓ | 1.6s | +200ms |
| CLS | 0.01 ✓ | 0.01 | — |
| API /health | 145ms ✓ | 120ms | +25ms |
| Static assets | 42/42 ✓ | 42/42 | — |
| SSE /events | connected ✓ | connected | +80ms heartbeat |

### No regressions detected. Deploy is clean.

Integration

Pair with:

  • /browser-qa for pre-deploy verification
  • Hooks: add as a PostToolUse hook on git push to auto-check after deploys
  • CI: run in GitHub Actions after deploy step

Score

0–100
71/ 100

Grade

B

Popularity23/30

3,499 installs — solid traction. Source repo has 215,627 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Canary Watch skill score badge previewScore badge

Markdown

[![Canary Watch skill](https://www.claudemarket.ai/skills/affaan-m/everything-claude-code/canary-watch/badges/score.svg)](https://www.claudemarket.ai/skills/affaan-m/everything-claude-code/canary-watch)

HTML

<a href="https://www.claudemarket.ai/skills/affaan-m/everything-claude-code/canary-watch"><img src="https://www.claudemarket.ai/skills/affaan-m/everything-claude-code/canary-watch/badges/score.svg" alt="Canary Watch skill"/></a>

Canary Watch FAQ

How do I install the Canary Watch skill?

Run “npx skills add https://github.com/affaan-m/everything-claude-code --skill canary-watch” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Canary Watch skill do?

Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Canary Watch skill free?

Yes. Canary Watch is a free, open-source skill published from affaan-m/everything-claude-code. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Canary Watch work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Canary Watch works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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