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Agent Skill · 开发

customerio-known-pitfalls(客户已知的陷阱)

customerio-known-pitfalls 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。

customerio-known-pitfalls 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,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 16,013。

总安装 541周安装 23GitHub Stars 2,106下载 190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:customerio-known-pitfalls(客户已知的陷阱)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/customerio-known-pitfalls
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill customerio-known-pitfalls
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/jeremylongshore/claude-code-plugins-plus-skills --skill customerio-known-pitfalls

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。

汇总 Customer.io 集成中最常见的 12 个错误模式及正确实践方案。可作为代码审查清单和开发者入职参考,重点区分 Track/APP API 密钥误用等问题。提供错误代码示例与修复对照,帮助规避认证失败、数据格式错误等典型问题。使用前建议结合具体项目上下文理解各陷阱的适用场景,不可直接照搬解决方案。

customerio-known-pitfalls 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/customerio-known-pitfalls

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/jeremylongshore/claude-code-plugins-plus-skill…;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

customerio-known-pitfalls 怎么安装?

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

customerio-known-pitfalls 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。

customerio-known-pitfalls 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。

customerio-known-pitfalls 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。

customerio-known-pitfalls 用的人多吗?

公开数据是累计安装 541 次,近一周安装 23 次,下载 190 次,GitHub 2,106 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。

customerio-known-pitfalls 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。
  • 来源仓库有 2,106 星,维护活跃度相对可查。

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
customerio-known-pitfalls

客户已知的陷阱 · 本页

5412,106接触敏感数据未明确通过

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

Customer.io Known Pitfalls

Overview

The 12 most common Customer.io integration mistakes, with the wrong pattern, the correct pattern, and why it matters. Use this as a code review checklist and developer onboarding reference.

The Pitfall Catalog

Pitfall 1: Wrong API Key Type

// WRONG — using Track API key for transactional messages
const api = new APIClient(process.env.CUSTOMERIO_TRACK_API_KEY!);
// Gets 401 because App API uses a DIFFERENT bearer token

// CORRECT — use the App API key
const api = new APIClient(process.env.CUSTOMERIO_APP_API_KEY!);

Why: Customer.io has two separate authentication systems. Track API uses Basic Auth (Site ID + Track Key). App API uses Bearer Auth (App Key). They are not interchangeable.

Pitfall 2: Millisecond Timestamps

// WRONG — JavaScript Date.now() returns milliseconds
await cio.identify("user-1", {
  created_at: Date.now(),           // 1704067200000 → year 55976
});

// CORRECT — Customer.io expects Unix seconds
await cio.identify("user-1", {
  created_at: Math.floor(Date.now() / 1000),  // 1704067200
});

Why: Customer.io accepts millisecond values without error but interprets them as seconds, resulting in dates thousands of years in the future. Segments using date comparisons silently break.

Pitfall 3: Track Before Identify

// WRONG — tracking before identifying creates orphaned events
await cio.track("new-user", { name: "signed_up", data: {} });
// User profile doesn't exist yet — event may be lost

// CORRECT — always identify first
await cio.identify("new-user", { email: "user@example.com" });
await cio.track("new-user", { name: "signed_up", data: {} });

Why: Track calls on non-existent users may be silently dropped. Always identify() before track().

Pitfall 4: Using Email as User ID

// WRONG — email can change, creating duplicate profiles
await cio.identify("user@example.com", { email: "user@example.com" });
// When user changes email, old profile orphaned, new one created

// CORRECT — use immutable database ID
await cio.identify("usr_abc123", {
  email: "user@example.com",    // Email as attribute, not ID
});

Why: The first argument to identify() is the permanent user ID. If you use email and the user changes it, you get two profiles. Use your database primary key instead.

Pitfall 5: Missing Email Attribute

// WRONG — user can't receive email campaigns
await cio.identify("user-1", {
  first_name: "Jane",
  plan: "pro",
  // No email attribute!
});

// CORRECT — always include email for email campaigns
await cio.identify("user-1", {
  email: "jane@example.com",
  first_name: "Jane",
  plan: "pro",
});

Why: Without an email attribute, the user profile exists but can't receive any email campaigns or transactional messages.

Pitfall 6: Dynamic Event Names

// WRONG — creates hundreds of unique event names
await cio.track("user-1", {
  name: `viewed_${productId}`,       // "viewed_SKU-12345"
  data: {},
});

// CORRECT — use a static name with data properties
await cio.track("user-1", {
  name: "product_viewed",             // Consistent, filterable
  data: { product_id: productId },    // Dynamic data in properties
});

Why: Dynamic event names pollute your event catalog and make it impossible to create campaign triggers. Use a fixed set of event names and pass variations as data properties.

Pitfall 7: Blocking Request Path

// WRONG — API call adds 200ms+ to every request
app.post("/api/action", async (req, res) => {
  const result = await doBusinessLogic(req.body);
  await cio.track(req.user.id, { name: "action_taken", data: {} }); // BLOCKS response
  res.json(result);
});

// CORRECT — fire-and-forget for non-critical tracking
app.post("/api/action", async (req, res) => {
  const result = await doBusinessLogic(req.body);
  cio.track(req.user.id, { name: "action_taken", data: {} })
    .catch((err) => console.error("CIO track failed:", err.message));
  res.json(result);  // Returns immediately
});

Why: Customer.io tracking is non-critical analytics. Don't add 200ms+ latency to every user request.

Pitfall 8: No Bounce Handling

// WRONG — keep sending to bounced addresses, damaging sender reputation
// (No webhook handler for bounces)

// CORRECT — suppress users who bounce
async function handleBounceWebhook(event: { customer_id: string }) {
  await cio.suppress(event.customer_id);
  console.warn(`Suppressed bounced user: ${event.customer_id}`);
}

Why: Continuing to send to bounced addresses damages your sender reputation, eventually causing all your emails to go to spam.

Pitfall 9: New Client Per Request

// WRONG — creates a new TCP connection for every API call
app.post("/track", async (req, res) => {
  const cio = new TrackClient(siteId, apiKey, { region: RegionUS });
  await cio.track(req.body.userId, req.body.event);
  res.sendStatus(200);
});

// CORRECT — singleton, created once
const cio = new TrackClient(siteId, apiKey, { region: RegionUS });

app.post("/track", async (req, res) => {
  await cio.track(req.body.userId, req.body.event);
  res.sendStatus(200);
});

Why: Each new TrackClient() creates fresh connections. Singleton reuses TCP connections, reducing latency by 50-80%.

Pitfall 10: Inconsistent Event Names

// WRONG — multiple naming conventions
await cio.track(userId, { name: "UserSignedUp" });      // PascalCase
await cio.track(userId, { name: "user-signed-up" });     // kebab-case
await cio.track(userId, { name: "user signed up" });     // spaces

// CORRECT — consistent snake_case everywhere
await cio.track(userId, { name: "user_signed_up" });

Why: Event names are case-sensitive. Inconsistent naming means campaign triggers only match one variant, and your event catalog becomes a mess.

Pitfall 11: No Rate Limiting

// WRONG — blasting API at full speed during import
for (const user of allUsers) {
  await cio.identify(user.id, user.attrs);  // 1000+ req/sec → 429 errors
}

// CORRECT — rate-limited processing
import Bottleneck from "bottleneck";
const limiter = new Bottleneck({ maxConcurrent: 10, minTime: 15 });

for (const user of allUsers) {
  await limiter.schedule(() => cio.identify(user.id, user.attrs));
}

Why: Customer.io rate limits at ~100 req/sec. Without throttling, bulk operations trigger 429 errors and potentially get your API key temporarily blocked.

Pitfall 12: PII in Event Names

// WRONG — PII in event names is unsanitizable
await cio.track(userId, { name: `email_sent_to_john@example.com` });

// CORRECT — PII only in data properties (can be deleted per GDPR)
await cio.track(userId, {
  name: "email_sent",
  data: { recipient: "john@example.com" },
});

Why: Event names are indexed and cached. PII in event names can't be deleted for GDPR compliance. Always put PII in event data properties.

Quick Reference

#PitfallFix
1Wrong API key typeTrack key for tracking, App key for transactional
2Millisecond timestampsMath.floor(Date.now() / 1000)
3Track before identifyAlways identify() first
4Email as user IDUse immutable database ID
5Missing email attributeInclude email in identify()
6Dynamic event namesStatic names, dynamic data properties
7Blocking request pathFire-and-forget with .catch()
8No bounce handlingSuppress bounced users via webhook
9New client per requestSingleton pattern
10Inconsistent event namesAlways snake_case
11No rate limitingUse Bottleneck or p-queue
12PII in event namesPII in data properties only

Integration Audit Script

# Quick grep audit for common pitfalls in your codebase
echo "=== Customer.io Pitfall Audit ==="

echo "--- Checking for Date.now() without /1000 ---"
grep -rn "created_at.*Date.now()" --include="*.ts" --include="*.js" \
  | grep -v "/ 1000" || echo "OK"

echo "--- Checking for new TrackClient inside functions ---"
grep -rn "new TrackClient" --include="*.ts" --include="*.js" \
  | grep -v "^.*const\|^.*let\|^.*export" || echo "OK"

echo "--- Checking for dynamic event names ---"
grep -rn "name:.*\`" --include="*.ts" --include="*.js" \
  | grep "track\|Track" || echo "OK"

echo "--- Checking for blocking await in routes ---"
grep -rn "await.*cio\.\|await.*track\.\|await.*identify" --include="*.ts" \
  | grep "router\.\|app\." || echo "Review these for fire-and-forget"

Resources

Next Steps

After reviewing pitfalls, use customerio-reliability-patterns for fault tolerance.

平台分布

Codex

33.71%
按下载量换算64

Claude

31.48%
按下载量换算60

Cursor

16.64%
按下载量换算32

Gemini CLI

9.43%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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