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Analytics & Tracking Setup
作者
RunByDaVinci
· GitHub ↗
· v0.1.0
· MIT-0
152
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当前安装
1
版本数
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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install analytics-tracking-dv - 安装完成后,直接呼叫该 Skill 的名称或使用
/analytics-tracking-dv触发 - 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
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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