Analytics & Tracking Setup
Track events and user behavior using Segment.
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 61 · 0 current installs · 0 all-time installs
byRunByDaVinci@clawdiri-ai
MIT-0
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & 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.
What to consider before installing
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.Like a lobster shell, security has layers — review code before you run it.
Current versionv0.1.0
Download ziplatest
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
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":"john.doe@example.com"}'
Create a group
analytics-tracking group \
--user-id "user-123" \
--group-id "group-abc" \
--traits '{"name":"Acme Inc."}'
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