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Analytics & Tracking Setup

作者 RunByDaVinci · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install analytics-tracking-dv
功能描述
Track events and user behavior using Segment.
使用说明 (SKILL.md)

Analytics Tracking

Track events and user behavior using Segment.

Usage

Track an event

analytics-tracking track \
  --event "Signed Up" \
  --user-id "user-123" \
  --properties '{"plan":"Pro"}'

Identify a user

analytics-tracking identify \
  --user-id "user-123" \
  --traits '{"name":"John Doe","email":"[email protected]"}'

Create a group

analytics-tracking group \
  --user-id "user-123" \
  --group-id "group-abc" \
  --traits '{"name":"Acme Inc."}'
安全使用建议
This package looks like a collection of tracking documentation, UTM link generator, and pixel snippet templates—not an autonomous Segment event sender. If you expected a skill that actually sends events to Segment, do NOT hand over any Segment write keys yet: the code to use them is not present. Actions you can take before installing or using it: - If you only need a UTM builder or pixel snippets, it's safe to run the included utm_builder.py locally (Python 3.8+, standard library only). - If you expect Segment integration, ask the author for the code that calls Segment (analytics-python or HTTP API), or for explicit env var names (e.g., SEGMENT_WRITE_KEY). The absence of those is an incoherence to resolve. - Verify that any future version which claims to send events clearly documents network endpoints and required credentials and that you review that code before providing secrets. - Do not provide credentials blindly; prefer skills that explicitly declare required env vars and show how they are used.
能力评估
Purpose & Capability
The skill is titled and described as "Track events and user behavior using Segment," and SKILL.md shows CLI commands like `analytics-tracking track`/`identify`/`group`. However, the repository contains only a UTM builder, pixel config JSON files and a tracking plan—no Segment SDK calls, no network code for sending events, and no environment variables or primary credential for a Segment write key. The stated purpose (automated Segment event tracking) is not implemented by the included artifacts.
Instruction Scope
Runtime instructions mostly show examples for building UTM links and copy-paste pixel snippets. They also demonstrate a CLI named `analytics-tracking` (track/identify/group) that is not present in the files. SKILL.md does not instruct the agent to read system files or exfiltrate secrets. The inconsistency is about missing/opaque runtime behavior rather than malicious actions in the instructions themselves.
Install Mechanism
There is no install specification (instruction-only plus a small Python script). No external downloads, package manager installs, or archive extraction are present. The only code uses the Python standard library (urllib) and is low-risk to install/run locally.
Credentials
No environment variables or credentials are requested. That is appropriate for a UTM builder and static templates—but inconsistent with the claim to "use Segment" or to perform event tracking. A legitimate Segment-integrating skill would request a SEGMENT_WRITE_KEY (or similar) and include code to use it; those are missing. This mismatch could lead to confusion or to users supplying credentials to a different/unknown implementation later.
Persistence & Privilege
The skill does not request persistent presence (always is false) and contains no install behavior that modifies other skills or system-wide configuration. There is no autonomous elevation of privilege indicated.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install analytics-tracking-dv
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /analytics-tracking-dv 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release
元数据
Slug analytics-tracking-dv
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Analytics & Tracking Setup 是什么?

Track events and user behavior using Segment. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 152 次。

如何安装 Analytics & Tracking Setup?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install analytics-tracking-dv」即可一键安装,无需额外配置。

Analytics & Tracking Setup 是免费的吗?

是的,Analytics & Tracking Setup 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Analytics & Tracking Setup 支持哪些平台?

Analytics & Tracking Setup 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Analytics & Tracking Setup?

由 RunByDaVinci(@clawdiri-ai)开发并维护,当前版本 v0.1.0。

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