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Agent Skill · 研究检索

agent-analytics(Agent 分析)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

agent-analytics 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 44,090。

总安装 939周安装 38GitHub Stars 2,827下载 295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:agent-analytics(Agent 分析)
来源仓库:https://github.com/davepoon/buildwithclaude
仓库路径:skills/agent-analytics
安装命令:
npx skills add https://github.com/davepoon/buildwithclaude --skill agent-analytics
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/davepoon/buildwithclaude --skill agent-analytics

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。

用于网站与应用的埋点追踪与数据分析。适合监控流量、转化与用户行为,支持 A/B 实验与项目效果评估。使用时需确认数据来源字段含义与时间范围,避免将样本误作全量事实。安装方式:通过 npx skills add 从指定 GitHub 仓库添加,需确认权限与维护状态。注意:涉及敏感数据时应先脱敏并确认导出权限边界。

来源仓库内路径:skills/agent-analytics

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/davepoon/buildwithclaude --skill agent-analyti…;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

agent-analytics 怎么安装?

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

agent-analytics 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。

agent-analytics 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。

agent-analytics 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。

agent-analytics 用的人多吗?

公开数据是累计安装 939 次,近一周安装 38 次,下载 295 次,GitHub 2,827 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。

agent-analytics 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 来源仓库有 2,827 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。
  • 需要处理研究检索类任务、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。

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
agent-analytics

Agent 分析 · 本页

9392,827接触敏感数据未明确未通过

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

Agent Analytics — Analytics your agent can actually use

You are adding analytics tracking using Agent Analytics — the analytics platform your AI agent can actually use. Built for developers who ship lots of projects and want their AI agent to track, analyze, experiment, and optimize across all of them.

Website: agentanalytics.sh GitHub: Agent-Analytics/agent-analytics Docs: docs.agentanalytics.sh

When to Use This Skill

  • User wants to add analytics tracking to a website or app
  • User wants to check how their projects are doing (traffic, conversions, engagement)
  • User wants to run A/B experiments on headlines, CTAs, or flows
  • User wants funnel analysis, retention cohorts, or traffic breakdowns
  • User asks "how's my site doing?" or "are people visiting?"

Philosophy

You are NOT Mixpanel. Don't track everything. Track only what answers: "Is this project alive and growing?"

For a typical site, that's 3-5 custom events max on top of automatic page views.

First-time setup

Get an API key: Sign up at agentanalytics.sh and generate a key from the dashboard. Alternatively, self-host the open-source version from GitHub.

If the project doesn't have tracking yet:

# 1. Login (one time — uses your API key)
npx @agent-analytics/cli login --token aak_YOUR_API_KEY

# 2. Create the project (returns a project write token)
npx @agent-analytics/cli create my-site --domain https://mysite.com

# 3. Add the snippet using the returned token
# 4. Deploy, click around, verify:
npx @agent-analytics/cli events my-site

The create command returns a project write token — use it as data-token in the snippet. This is separate from your API key (which is for reading/querying).

Step 1: Add the tracking snippet

The create command returns a tracking snippet with your project token — add it before </body>. It auto-tracks page_view events with path, referrer, browser, OS, device, screen size, and UTM params. You do NOT need to add custom page_view events.

Step 1b: Discover existing events (existing projects)

If tracking is already set up, check what events and property keys are already in use so you match the naming:

npx @agent-analytics/cli properties-received PROJECT_NAME

Step 2: Add custom events to important actions

Use onclick handlers on the elements that matter:

<a href="..." onclick="window.aa?.track('EVENT_NAME', {id: 'ELEMENT_ID'})">

Standard events for 80% of SaaS sites

Pick the ones that apply. Most sites need 2-4:

EventWhen to fireProperties
cta_clickUser clicks a call-to-action buttonid (which button)
signupUser creates an accountmethod (github/google/email)
loginUser returns and logs inmethod
feature_usedUser engages with a core featurefeature (which one)
checkoutUser starts a payment flowplan (free/pro/etc)
errorSomething went wrong visiblymessage, page

What NOT to track

  • Every link or button (too noisy)
  • Scroll depth (not actionable)
  • Form field interactions (too granular)
  • Footer links (low signal)

Property naming rules

  • Use snake_case: hero_get_started not heroGetStarted
  • The id property identifies WHICH element: short, descriptive
  • Name IDs as section_action: hero_signup, pricing_pro, nav_dashboard

Step 2b: Run A/B experiments

Experiments let you test which variant of a page element converts better. The full lifecycle is API-driven — no dashboard UI needed.

Creating an experiment

npx @agent-analytics/cli experiments create my-site \
  --name signup_cta --variants control,new_cta --goal signup

Implementing variants

Declarative (recommended): Use data-aa-experiment and data-aa-variant-{key} HTML attributes. Original content is the control. The tracker swaps text for assigned variants automatically.

<h1 data-aa-experiment="signup_cta" data-aa-variant-new_cta="Start Free Trial">Sign Up</h1>

Programmatic (complex cases): Use window.aa?.experiment(name, variants) — deterministic, same user always gets same variant.

Checking results

npx @agent-analytics/cli experiments get exp_abc123

Returns Bayesian probability_best, lift, and a recommendation. The system needs ~100 exposures per variant before results are significant.

Step 3: Test immediately

After adding tracking, verify it works:

# Click around, then check:
npx @agent-analytics/cli events PROJECT_NAME
# Events appear within seconds.

CLI Reference

All commands use npx @agent-analytics/cli:

# Setup
login --token aak_YOUR_KEY           # Save API key (one time)
projects                              # List all projects
create my-site --domain https://...   # Create project

# Real-time
live                                  # Live TUI dashboard across ALL projects
live my-site                          # Live view for one project

# Analytics
stats my-site --days 7                # Overview: events, users, daily trends
insights my-site --period 7d          # Period-over-period comparison
breakdown my-site --property path --event page_view --limit 10  # Top pages/referrers/UTM
pages my-site --type entry            # Landing page performance & bounce rates
sessions-dist my-site                 # Session engagement histogram
heatmap my-site                       # Peak hours & busiest days
events my-site --days 30              # Raw event log
sessions my-site                      # Individual session records
properties my-site                    # Discover event names & property keys
funnel my-site --steps "page_view,signup,purchase"  # Funnel drop-off
retention my-site --period week --cohorts 8         # Cohort retention

# A/B experiments
experiments list my-site
experiments create my-site --name signup_cta --variants control,new_cta --goal signup
experiments get exp_abc123
experiments complete exp_abc123 --winner new_cta

Which endpoint for which question

User asksCallWhy
"How's my site doing?"insights + breakdown + pages (parallel)Full weekly picture
"Is anyone visiting right now?"liveReal-time visitors across all projects
"What are my top pages?"breakdown --property path --event page_viewRanked page list
"Where's my traffic coming from?"breakdown --property referrer --event page_viewReferrer sources
"Are people actually engaging?"sessions-distBounce vs engaged split
"When should I deploy?"heatmapFind low-traffic windows
"Where do users drop off?"funnel --steps "page_view,signup,purchase"Step-by-step conversion
"Are users coming back?"retention --period week --cohorts 8Cohort retention
"Which CTA converts better?"experiments create + experiments getA/B test lifecycle

For any "how is X doing" question, always call insights first — it's the single most useful endpoint.

Examples

Track custom events via window.aa?.track():

window.aa?.track('cta_click', {id: 'hero_get_started'});
window.aa?.track('signup', {method: 'github'});
window.aa?.track('feature_used', {feature: 'create_project'});
window.aa?.track('checkout', {plan: 'pro'});

What this skill does NOT do

  • No GUI dashboards — your agent IS the dashboard (or use live for a real-time TUI)
  • No user management or billing
  • No PII stored — IP addresses are not logged or retained. Privacy-first by design

平台分布

Codex

37.27%
按下载量换算110

Claude

31.39%
按下载量换算93

Cursor

16.97%
按下载量换算50

Gemini CLI

9.51%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。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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