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abtesting-web弃权测试网

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

376

周安装

16

GitHub Stars

4

下载量

132
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:abtesting-web(弃权测试网)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/abtesting-web
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill abtesting-web
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/alphaonedev/openclaw-graph --skill abtesting-web

简介

用于网页应用的 A/B 测试,支持功能开关和流量分割以控制实验范围。

  • 可集成 LaunchDarkly 或 Unleash 管理功能标志,并通过 Cloudflare Workers 路由流量。
  • 适用于动态功能发布、内容个性化或 UI 元素测试,无需停机即可运行实验。
  • 安装方式:github,命令为 npx skills add https://github.com/alphaonedev/openclaw-graph --skill abtesting-web。
  • 注意:需确认项目是否已配置相关工具链,并区分本地模拟与生产环境操作。

SKILL.md

Purpose

This skill, abtesting-web, facilitates A/B testing for web applications by managing feature flags with tools like LaunchDarkly or Unleash, implementing cookie-based user segmentation, and routing traffic via Cloudflare Workers or header-based rules. It ensures controlled experimentation to optimize web features without downtime.

When to Use

Use this skill for dynamic feature rollouts in web apps, such as testing new UI elements, personalizing content via cookies, or splitting traffic for experiments. Apply it when you need scalable A/B testing with tools like LaunchDarkly for enterprise features or Unleash for cost-effective setups, especially in environments with Cloudflare.

Key Capabilities

  • Feature flags: Integrate LaunchDarkly to toggle flags via API, e.g., check flag status with Unleash's /api/features endpoint.
  • Cookie segmentation: Parse cookies in Cloudflare Workers to segment users, e.g., check for a specific cookie value like document.cookie.includes('variant=A').
  • Cloudflare Workers A/B: Route requests based on rules, such as using fetch(event.request) with conditional logic for 50% traffic split.
  • Header routing: Evaluate request headers in code, e.g., if event.request.headers.get('X-Experiment') === 'group1', route accordingly.
  • Specific configs: Use JSON format for flag definitions, e.g., {"name": "new-feature", "enabled": true, "variants": ["A", "B"]}.

Usage Patterns

To set up A/B testing, first initialize the skill with your API key, e.g., run openclaw abtesting-web init --provider launchdarkly --key $LAUNCHDARKLY_API_KEY. For ongoing use, query flags in your web app code: import the SDK and check status like ldClient.variation('feature-key', false). Pattern for segmentation: In Cloudflare Workers, add event handlers to evaluate cookies or headers before proxying requests. Always test locally first with a mock server, then deploy via openclaw abtesting-web deploy --env production.

Common Commands/API

  • CLI Commands: Initialize with openclaw abtesting-web init --cluster abtesting --tags web,feature-flags. Create a flag via openclaw abtesting-web create-flag --name new-ui --provider unleash --variants A,B. List flags with openclaw abtesting-web list --key $CLOUDFLARE_API_TOKEN.
  • API Endpoints: For LaunchDarkly, use POST to https://app.launchdarkly.com/api/v2/flags/{projectKey}/{featureFlagKey} with JSON body like {"name": "test-flag", "variations": ["control", "variant"]}. For Unleash, GET https://your-unleash-instance/api/features with auth header Authorization: $UNLEASH_API_KEY.
  • Code Snippets:

- Cloudflare Worker for A/B routing: addEventListener('fetch', event => {const variant = Math.random() < 0.5? 'A': 'B'; event.respondWith(fetch(event.request, {headers: {'X-Variant': variant}}));}); - LaunchDarkly flag check in Node.js: const ldClient = require('launchdarkly-node-server-sdk'); ldClient variation('feature-key', false, (err, variation) => console.log(variation));

Integration Notes

Integrate by setting environment variables for keys, e.g., export LAUNCHDARKLY_API_KEY and CLOUDFLARE_API_TOKEN. For web apps, add the skill as a middleware: in Express.js, use app.use(abtestingMiddleware({provider: 'launchdarkly'})). Config format: Use a YAML file like abtesting-config.yaml with content:

provider: launchdarkly
flags:
  - name: homepage-test
    variants: [A, B]
    percentage: 50

To combine with other services, ensure CORS is enabled for API calls, and handle webhooks for flag updates. For Cloudflare, bind the Worker to your domain via the dashboard or CLI: wrangler publish --env production.

Error Handling

Common errors include invalid API keys (HTTP 401), resolved by checking echo $LAUNCHDARKLY_API_KEY and retrying. For flag not found, catch with try-catch in code, e.g.:

try {
  const flag = await ldClient.getFeatureFlag('nonexistent');
} catch (error) {
  console.error('Flag error:', error.message); // Output: "Feature flag not found"
  fallbackToDefault();
}

Handle network issues by adding retries: in Cloudflare Workers, use event.waitUntil(fetchWithRetry(event.request)). For segmentation errors, validate cookies early, e.g., if parsing fails, default to control group. Use CLI debug mode: openclaw abtesting-web run --debug to log API responses.

Concrete Usage Examples

  1. Example 1: Launch A/B Test for a Web Feature: To test a new button on your site, first run openclaw abtesting-web init --provider launchdarkly --key $LAUNCHDARKLY_API_KEY. Then, create the flag: openclaw abtesting-web create-flag --name button-test --variants control,experimental. In your frontend code, check the flag: if (ldClient.variation('button-test') === 'experimental') {renderNewButton();}. Finally, monitor via Cloudflare logs for traffic splits.
  2. Example 2: Cookie-Based Segmentation with Cloudflare: Set up segmentation by adding a Worker: openclaw abtesting-web deploy-worker --script path/to/worker.js. In the worker.js file, include: addEventListener('fetch', event => {const cookieValue = event.request.headers.get('cookie')?.includes('segment=premium')? 'premium': 'standard'; event.respondWith(fetch(event.request, {headers: {'X-Segment': cookieValue}}));}); Use this to route premium users to variant A.

Graph Relationships

  • Related to cluster: abtesting (e.g., shares resources with other abtesting skills).
  • Related to tags: web (links to web-focused skills), feature-flags (connects to flag management tools), launchdarkly (integrates with LaunchDarkly-specific skills), cloudflare (ties into Cloudflare infrastructure skills).

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

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能力 2

展示可复制的安装命令

能力 3

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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

35.79%
按下载量换算47

Claude

28.93%
按下载量换算38

Cursor

19.62%
按下载量换算26

Gemini CLI

10.44%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

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 warning/failed 结果,不能写成本站确认安全。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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