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Agent Skill

monitor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

218

周安装

9

GitHub Stars

35

下载量

71
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:monitor(monitor 搜索)
来源仓库:https://github.com/kazdenc/builder-skills
仓库路径:skills/monitor
安装命令:
npx skills add https://github.com/kazdenc/builder-skills --skill monitor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kazdenc/builder-skills --skill monitor

简介

monitor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配或来源线索筛选等研究检索场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

Production Monitoring Setup

Set up monitoring for a production application. If a target is provided, scope recommendations to that service or feature. Cover all four pillars, then configure health checks, alerts, SLOs, and dashboards.

The Four Pillars

Monitor all four. Missing any one creates a blind spot.

1. Errors

Track unhandled exceptions, failed API calls, and client-side errors. Don't wait for users to report them.

What to captureHow
Unhandled exceptions (server)Global error handler reports to error tracking service. Include stack trace and request context.
Unhandled exceptions (client)window.onerror and onunhandledrejection wired to error tracking.
Failed API callsLog 4xx and 5xx responses with request path, status, and duration.
Client-side errorsReact error boundaries catch render failures. Report with component tree.

Tool examples: Sentry (full stack, source maps, release tracking), LogRocket (session replay + error context).

2. Performance

Measure response times and user experience. Use percentiles, not averages.

MetricTargetHow to measure
API response time (p50)< 200msServer-side timing middleware.
API response time (p95)< 500msSame middleware, track percentile distribution.
API response time (p99)< 1000msSame middleware. If p99 spikes, investigate outlier queries.
Largest Contentful Paint< 2.5sReal User Monitoring (RUM) or Lighthouse CI.
First Input Delay< 100msRUM.
Cumulative Layout Shift< 0.1RUM or Lighthouse CI.

Tool examples: Vercel Analytics (zero-config for Next.js), Speedlify (self-hosted Lighthouse tracking).

3. Availability

Know when your service is down before your users do.

What to checkFrequencyAlert if
Health check endpointEvery 30sTwo consecutive failures.
SSL certificate expiryDailyLess than 14 days remaining.
DNS resolutionEvery 5mResolution fails or returns unexpected IP.
Key third-party servicesEvery 1mDependency returns errors for > 2 minutes.

Tool examples: Better Uptime (status pages + incident management), Checkly (synthetic monitoring with Playwright).

4. Business Metrics

Technical metrics alone don't tell you if the product works.

MetricWhy it matters
Signups per hour/dayDetects registration flow breakage immediately.
Conversion rateDrop signals checkout or onboarding issues.
Key feature usageConfirms new features are actually being used.
Error rate per user actionTies technical errors to user impact.

Tool examples: PostHog (open-source product analytics, feature flags, session replay), Mixpanel (funnel and retention analysis).

Health Check Endpoint

Create a /api/health endpoint that verifies real connectivity, not just "the server is running."

// app/api/health/route.ts
import { NextResponse } from 'next/server'

export async function GET() {
  const checks: Record<string, 'ok' | 'fail'> = {}

  // Check database connectivity
  try {
    await db.query('SELECT 1')
    checks.database = 'ok'
  } catch {
    checks.database = 'fail'
  }

  // Check external services (cache, queue, etc.)
  try {
    await redis.ping()
    checks.cache = 'ok'
  } catch {
    checks.cache = 'fail'
  }

  const allHealthy = Object.values(checks).every((s) => s === 'ok')

  return NextResponse.json(
    { status: allHealthy ? 'healthy' : 'degraded', checks },
    { status: allHealthy ? 200 : 503 },
  )
}

Adapt the checks to the actual services in the stack. Return 503 if any check fails so load balancers and uptime monitors detect it.

Alerting Strategy

Alert on actionable signals only. Noisy alerts get ignored.

SignalSeverityNotification channelResponse time
Health check down (2+ consecutive)CriticalPagerDuty / phone call< 15 minutes
Error rate > 5% of requestsCriticalSlack #incidents + PagerDuty< 15 minutes
Error rate > 1% of requestsWarningSlack #alerts< 1 hour
p95 response time > 1sWarningSlack #alerts< 1 hour
SSL cert expiry < 14 daysInfoSlack #ops< 1 day
Disk usage > 80%WarningSlack #ops< 4 hours
Deploy completedInfoSlack #deploysNo response needed

Rules for good alerting:

  • Don't alert on single transient errors. Use thresholds and windows (e.g., "error rate > 5% over 5 minutes").
  • Every alert must have a clear owner and a documented first-response action.
  • Review alert fatigue monthly. If an alert fires > 3 times without action, fix it or remove it.

SLOs (Service Level Objectives)

Define SLOs for key services. SLOs set expectations; SLIs measure them.

ServiceSLI (what you measure)SLO (target)Error budget
API availability% of requests returning non-5xx99.9%8.7 hours downtime / year
API latencyp95 response time< 500ms5% of requests can exceed
Web vitals (LCP)p75 LCP across all pages< 2.5s25% of page loads can exceed
Data pipeline freshnessTime since last successful sync< 15 minutes4 allowed SLO violations / month

How to use error budgets:

  • When the budget is healthy, ship fast and take calculated risks.
  • When the budget is low, freeze non-critical deploys and focus on reliability.
  • Track budget burn rate weekly. A sudden spike means something broke.

Dashboard Essentials

Build a team dashboard with these panels. Keep it to one screen.

PanelWhat it showsWhy
Error rate (last 24h)Errors per minute, with deploy markersCorrelate errors with deploys instantly.
Latency trends (last 24h)p50, p95, p99 lines on one chartSpot gradual degradation before it becomes critical.
Active users (real-time)Current connected / active usersContext for error rates. 10 errors with 10 users is worse than 10 errors with 10,000.
Uptime statusGreen/red for each monitored endpointGlanceable health.
Deploy historyLast 10 deploys with timestamp and authorQuick reference for "what changed?"
SLO burn rateError budget remaining for the periodKnow when to slow down.

Incident Response

Use severity levels to set expectations and escalation.

LevelDefinitionExampleResponse expectation
SEV1Service down or major data loss. Most users affected.API returning 500 for all requests. Payment processing broken.All hands. Respond in < 15 min. Communicate status every 30 min.
SEV2Significant degradation. Some users affected.Slow response times. One region down. Feature broken for subset of users.On-call responds in < 30 min. Hourly status updates.
SEV3Minor issue. Workaround exists.Non-critical feature broken. Cosmetic bug in production.Address within business hours. No status page update needed.

For every incident:

  1. Acknowledge the alert and declare severity.
  2. Open an incident channel (or thread) for coordination.
  3. Mitigate first, investigate second. Get the service back up, then find root cause.
  4. Write a brief post-incident review: what happened, why, and what will prevent recurrence.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.74%
按下载量换算25

Claude

29.01%
按下载量换算21

Cursor

19.24%
按下载量换算14

Gemini CLI

9.52%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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