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Agent Skill · 研究检索

monitor(monitor 搜索)

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。

monitor 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 69,522。

总安装 218周安装 9GitHub Stars 35下载 71核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/monitor

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/kazdenc/builder-skills --skill monitor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

monitor 怎么安装?

在终端执行 npx skills add https://github.com/kazdenc/builder-skills --skill monitor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

monitor 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

monitor 需要什么权限?

权限级别是操作浏览器。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。

monitor 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

monitor 用的人多吗?

公开数据是累计安装 218 次,近一周安装 9 次,下载 71 次,GitHub 35 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

monitor 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
monitor

monitor 搜索 · 本页

21835操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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。目前只有一个公开来源,建议同时核对源仓库。

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