boyapati13/octo/canary-watch

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使用此技能在部署、合并或依赖升级后监控已部署的URL是否存在回归问题。

Install

npx vskill@latest install boyapati13/octo/canary-watch

SKILL.md

The same SKILL.md was published earlier as drpreecy/propestate/canary-watch.

Canary Watch — 部署后监控

使用场景

  • 部署到生产或预发布环境后
  • 合并高风险 PR 后
  • 需要验证修复是否生效时
  • 发布窗口期间的持续监控
  • 依赖升级后

工作原理

监控已部署 URL 是否存在回归问题。循环运行,直至手动停止或监控窗口过期。

监控内容
1. HTTP 状态 — 页面是否返回 200?
2. 控制台错误 — 是否出现之前没有的新错误?
3. 网络故障 — 是否存在失败的 API 调用、5xx 响应?
4. 性能 — LCP/CLS/INP 与基线相比是否有退化?
5. 内容 — 关键元素是否消失?(h1、导航、页脚、CTA)
6. API 健康 — 关键端点是否在 SLA 内响应?
监控模式

快速检查(默认):单次执行,报告结果

/canary-watch https://myapp.com

持续监控:每 N 分钟检查一次,持续 M 小时

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

差异模式:对比预发布环境与生产环境

/canary-watch --compare https://staging.myapp.com https://myapp.com
告警阈值
yaml
critical: # immediate alert
- HTTP status != 200
- Console error count > 5 (new errors only)
- LCP > 4s
- API endpoint returns 5xx
warning: # flag in report
- LCP increased > 500ms from baseline
- CLS > 0.1
- New console warnings
- Response time > 2x baseline
info: # log only
- Minor performance variance
- New network requests (third-party scripts added?)
通知机制

当超过关键阈值时:

  • 桌面通知(macOS/Linux)
  • 可选:Slack/Discord Webhook
  • 记录至 ~/.claude/canary-watch.log

输出

markdown
## Canary 报告 — myapp.com — 2026-03-23 03:15 PST
### 状态:健康 ✓
| 检查项 | 结果 | 基线 | 偏差 |
|-------|--------|----------|-------|
| HTTP | 200 ✓ | 200 | — |
| 控制台错误 | 0 ✓ | 0 | — |
| LCP | 1.8s ✓ | 1.6s | +200ms |
| CLS | 0.01 ✓ | 0.01 | — |
| API /health | 145ms ✓ | 120ms | +25ms |
### 未检测到回归问题。部署状态良好。

集成

配合使用:

  • /browser-qa 进行部署前验证
  • 钩子:在 git push 上添加 PostToolUse 钩子,部署后自动检查
  • CI:在 GitHub Actions 的部署步骤后运行

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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