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affaan-m/ECC/skills/canary-watch/SKILL.md

canary-watch

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.

Source repository stars
234,327
Declared platforms
0
Static risk flags
1
Last source update
2026-07-27
Source checked
2026-07-28

Decision brief

What it does—and where it fits

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.

Best for

  • After deploying to production or staging
  • After merging a risky PR
  • When you want to verify a fix actually fixed it

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/affaan-m/ECC --skill "skills/canary-watch"
Safe inspection promptEditorial

Inspect the Agent Skill "canary-watch" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/canary-watch/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    When to Use

    After deploying to production or staging

    After deploying to production or stagingAfter merging a risky PRWhen you want to verify a fix actually fixed it
  2. 02

    How It Works

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

    Desktop notification (macOS/Linux)Optional: Slack/Discord webhookLog to /.claude/canary-watch.log
  3. 03

    What It Watches

    Review the “What It Watches” section in the pinned source before continuing.

    Review and apply the “What It Watches” source section.
  4. 04

    Watch Modes

    Quick check (default): single pass, report results

    Quick check (default): single pass, report resultsSustained watch: check every N minutes for M hoursDiff mode: compare staging vs production

Permission review

Static risk signals and limitations

Network access

medium · line 32

The documentation includes network, browsing, or remote request actions.

/canary-watch https://myapp.com

Network access

medium · line 37

The documentation includes network, browsing, or remote request actions.

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

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score81/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars234,327SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
affaan-m/ECC
Skill path
skills/canary-watch/SKILL.md
Commit
4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
License
MIT
Collected
2026-07-28
Default branch
main
View the original 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

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