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Agent Skill · 开发

observability(可观测性)

observability 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

observability 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 15,894。

总安装 552周安装 23GitHub Stars 8下载 184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:observability(可观测性)
来源仓库:https://github.com/phrazzld/claude-config
仓库路径:skills/observability
安装命令:
npx skills add https://github.com/phrazzld/claude-config --skill observability
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/phrazzld/claude-config --skill observability

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可通过 npx skills add 命令从 GitHub 仓库安装使用。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。

observability 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/observability

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/phrazzld/claude-config --skill observability;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

    它需要接触敏感数据,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

observability 怎么安装?

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

observability 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。

observability 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

observability 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。

observability 用的人多吗?

公开数据是累计安装 552 次,近一周安装 23 次,下载 184 次,GitHub 8 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。

observability 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
observability

可观测性 · 本页

5528接触敏感数据未明确有提醒

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

/observability

Production observability with one service. Audit, fix, verify—every time.

Philosophy

Two services, not twenty. Sentry handles errors. PostHog handles product analytics. That's it. Vercel captures stdout automatically (no setup needed).

CLI-first. Everything manageable from command line. No dashboard clicking.

AI-agent ready. Errors should trigger automated analysis and fixes.

What This Does

Examines project observability, identifies gaps, implements fixes, and verifies alerting works. Every run does the full cycle.

Branching

Assumes you start on master/main. Before making code changes:

git checkout -b infra/observability-$(date +%Y%m%d)

Architecture

App → Sentry (errors, performance)
    → PostHog (product analytics, feature flags)
    → stdout (Vercel captures automatically)
    → /api/health (uptime monitoring)

AI Integration:
    Sentry MCP → Claude (query errors, analyze, fix)
    PostHog MCP → Claude (query funnels, cohorts, events)
    Sentry webhook → GitHub Action → agent (auto-triage)
    CLI scripts → manual triage and resolution

Services: 2 (Sentry + PostHog) Built-in free: Vercel logs CLI-manageable: 100% (both have MCP servers)

Process

1. Audit

Check what exists:

# Sentry configured?
~/.claude/skills/sentry-observability/scripts/detect_sentry.sh

# Health endpoint?
[ -f "app/api/health/route.ts" ] || [ -f "src/app/api/health/route.ts" ] && echo "✓ Health endpoint" || echo "✗ Health endpoint"

# Structured logging?
grep -r "console.log\|console.error" --include="*.ts" --include="*.tsx" src/ app/ 2>/dev/null | head -5

# PostHog analytics?
grep -q "posthog" package.json && echo "✓ PostHog" || echo "✗ PostHog not installed (P1)"

Spawn agent for deep review: Spawn observability-advocate agent to audit logging coverage, error handling, and silent failure risks.

2. Plan

Every project needs:

Essential (every production app):

  • Sentry error tracking with source maps
  • Health check endpoint (/api/health)
  • Structured logging (JSON to stdout)
  • At least one alert rule (new errors)

Required (user-facing apps):

  • PostHog product analytics (funnels, cohorts, session replay)
  • PostHog feature flags (replaces LaunchDarkly)

Recommended:

  • Webhook for AI agent integration
  • Triage scripts for CLI management

Only if needed:

  • Custom uptime monitoring

3. Execute

Install Sentry:

pnpm add @sentry/nextjs
npx @sentry/wizard@latest -i nextjs

Or use init script:

~/.claude/skills/sentry-observability/scripts/init_sentry.sh

Configure PII redaction:

// sentry.client.config.ts
Sentry.init({
  dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
  beforeSend(event) {
    // Scrub PII
    if (event.extra) delete event.extra.password;
    if (event.user) delete event.user.email;
    return event;
  },
});

Create health endpoint:

// app/api/health/route.ts
export async function GET() {
  const checks = {
    app: 'ok',
    timestamp: new Date().toISOString(),
  };

  // Add service checks as needed
  // checks.database = await checkDb();
  // checks.stripe = await checkStripe();

  return Response.json(checks);
}

Set up structured logging: Use JSON logs that Vercel can parse:

// lib/logger.ts
export function log(level: 'info' | 'warn' | 'error', message: string, data?: Record<string, unknown>) {
  const entry = {
    level,
    message,
    timestamp: new Date().toISOString(),
    ...data,
  };
  console[level === 'error' ? 'error' : 'log'](JSON.stringify(entry));
}

Create alert rule:

~/.claude/skills/sentry-observability/scripts/create_alert.sh --name "New Errors" --type issue

Set up webhook for AI integration (optional): In Sentry Dashboard → Settings → Integrations → Internal Integrations:

  1. Create integration with webhook URL
  2. Subscribe to issue events
  3. Point to GitHub Action or custom endpoint

4. Verify

Verify Sentry setup:

~/.claude/skills/sentry-observability/scripts/verify_setup.sh

Test error tracking:

// Trigger test error
throw new Error('Test error for Sentry verification');

Then check Sentry dashboard or:

~/.claude/skills/sentry-observability/scripts/list_issues.sh --limit 1

Test health endpoint:

curl -s http://localhost:3000/api/health | jq

Test alerting:

  • Trigger an error
  • Verify alert fires (check email/Slack/webhook)

If any verification fails, go back and fix it.

AI Agent Integration

Option A: Sentry MCP Server

For direct Claude integration, use the Sentry MCP server:

// claude_desktop_config.json
{
  "mcpServers": {
    "sentry": {
      "command": "npx",
      "args": ["-y", "@anthropic/sentry-mcp"],
      "env": {
        "SENTRY_AUTH_TOKEN": "your-token",
        "SENTRY_ORG": "your-org"
      }
    }
  }
}

Claude can then:

  • Query recent errors
  • Get full error context
  • Analyze root causes
  • Propose fixes

Option B: Webhook → GitHub Action → Agent

For automated triage:

# .github/workflows/sentry-triage.yml
name: Sentry Auto-Triage

on:
  repository_dispatch:
    types: [sentry-issue]

jobs:
  triage:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Analyze with Claude
        run: |
          # Query issue details and spawn analysis agent
          claude --print "Analyze Sentry issue ${{ github.event.client_payload.issue_id }}"

Option C: CLI Scripts (Already Exist)

# List and triage issues
~/.claude/skills/sentry-observability/scripts/list_issues.sh --env production
~/.claude/skills/sentry-observability/scripts/triage_score.sh --json

# Get issue details for analysis
~/.claude/skills/sentry-observability/scripts/issue_detail.sh PROJ-123

# Resolve after fixing
~/.claude/skills/sentry-observability/scripts/resolve_issue.sh PROJ-123

Tool Choices

Sentry over alternatives. Best error tracking, mature CLI, AI-first roadmap (Seer webhooks, auto-fix features), excellent free tier.

Vercel logs over log services. stdout is captured automatically. No additional service needed. Query with vercel logs.

PostHog for ALL analytics. Official MCP server, Terraform provider, all-in-one platform. 1M events/month free.

NOT Vercel Analytics. It has no API, no CLI, no MCP server. Completely unusable for AI-assisted workflows. Do not install it.

Environment Variables

# .env.example

# Sentry (required for error tracking)
NEXT_PUBLIC_SENTRY_DSN=
SENTRY_AUTH_TOKEN=
SENTRY_ORG=
SENTRY_PROJECT=

What You Get

When complete:

  • Sentry capturing all errors with source maps
  • Health check endpoint at /api/health
  • Structured JSON logging (captured by Vercel)
  • At least one alert rule configured
  • PostHog for product analytics (user-facing apps)
  • AI agent integration ready (MCP or webhooks)

User can:

  • See errors in Sentry immediately when they occur
  • Get alerted on new/critical errors
  • Query errors via CLI (list_issues.sh, triage_score.sh)
  • Trigger AI analysis of errors
  • Monitor app health via /api/health
  • View logs via vercel logs

Active Alerting (MANDATORY)

Passive observability is not observability. Every production app needs:

Email Alerts

  • Sentry alert rule: new issue with level:error → email notification
  • Zero tolerance: fire on FIRST occurrence (not frequency-based)
  • Include: error message, stack trace, affected users count, URL

GitHub Issue Auto-Creation

  • Sentry-GitHub integration: new Sentry issue → GitHub issue
  • Labels: bug, auto-detected, P0
  • Body: stack trace, breadcrumbs, user impact, Sentry link, affected file paths
  • Recent commits to affected files (for causal analysis)

Error Boundaries Must Be Loud

Every error boundary MUST call Sentry.captureException(error):

// ❌ BAD: Silent error boundary
export default function Error({ error }: { error: Error }) {
  return <p>Something went wrong</p>;
}

// ✅ GOOD: Error boundary that screams
'use client';
import * as Sentry from '@sentry/nextjs';
import { useEffect } from 'react';

export default function Error({ error, reset }: { error: Error; reset: () => void }) {
  useEffect(() => { Sentry.captureException(error); }, [error]);
  return (
    <div>
      <h2>Something went wrong</h2>
      <button onClick={reset}>Try again</button>
    </div>
  );
}

Root Error Boundary

app/global-error.tsx is REQUIRED for any Next.js app with Sentry:

'use client';
import * as Sentry from '@sentry/nextjs';
import { useEffect } from 'react';

export default function GlobalError({ error, reset }: { error: Error; reset: () => void }) {
  useEffect(() => { Sentry.captureException(error); }, [error]);
  return (
    <html><body>
      <h1>Application Error</h1>
      <button onClick={reset}>Reload</button>
    </body></html>
  );
}

PostHog Exception Autocapture

Enable $exception autocapture in PostHog config for client-side coverage that complements Sentry's server-side tracking.

Uptime Monitoring

External ping to /api/health every 5 min. Options:

  • GitHub Actions cron job
  • UptimeRobot (free tier)
  • Simple curl script on a separate machine

9 Observability Gaps (Incident Checklist)

#GapFix
1No alerting pipelineSentry → email + auto-create GitHub issue
2No global-error.tsxAdd root error boundary with captureException
3Silent error boundariesAdd captureException to ALL error.tsx files
4Missing route error boundariesAdd error.tsx to every app route
5No Sentry release trackingsentry-cli releases in CI
6Backend errors invisibleForward function errors to Sentry via wrapper
7No uptime monitoringExternal cron pings /api/health every 5 min
8Logger disconnected from SentrylogError() calls captureException()
9Exception autocapture offEnable $exception in PostHog config

Related Skills

  • sentry-observability — Detailed Sentry setup and scripts
  • observability-stack — PostHog/analytics integration patterns
  • observability-advocate — Agent for auditing observability coverage
  • check-production — Production health checks
  • flywheel-qa — Agentic QA for preview deployments

平台分布

Codex

32.35%
按下载量换算60

Claude

30.77%
按下载量换算57

Cursor

17.42%
按下载量换算32

Gemini CLI

9.65%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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