Skills analytics

📦

analytics

Name: analytics
Author: coreyhaines31

v2.0.2 Content revision r1 Medium Risk 🌐 Network access⚙️ External commands

Build and Audit Analytics Tracking Plans

Inconsistent events and campaign labels make marketing and product results difficult to measure. This skill provides tracking plans, implementation examples, and validation guidance for GA4 and Google Tag Manager.

Supports: Claude Codex Code(CC)

📊 70 Adequate

Maintain this Skill? Claim it 📊 70 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "analytics" from https://skillstore.io/skills/coreyhaines31-analytics.md and its manifest at https://skillstore.io/api/skills/coreyhaines31-analytics/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/coreyhaines31-analytics.md Signed manifest GET /api/skills/coreyhaines31-analytics/manifest Signed lockfile GET /api/skills/coreyhaines31-analytics/lockfile

Test it

Using "analytics". What should we track for SaaS signup and activation?

Expected outcome:

Signup completed: fire after successful account creation; record signup method and plan without email addresses.
Onboarding step completed: record step number and step name to identify onboarding drop-off.
Feature used: record feature name and category to compare activation behavior.
Validation: confirm each intended action produces one event with expected properties in GA4 DebugView.

Using "analytics". Our purchase event fires twice in GTM.

Expected outcome:

Inspect GTM Preview to identify every tag firing for a single purchase.
Check duplicate containers, overlapping triggers, and repeated application data layer pushes.
Verify transaction identifiers and review the configured conversion counting method.
Retest one purchase across browsers and mobile before publishing the container version.

Using "analytics". Create UTM conventions for our newsletter and search ads.

Expected outcome:

Newsletter: source newsletter, medium email, campaign product_launch, content footer_cta.
Search ads: source google, medium cpc, campaign product_launch, term matching the paid keyword.
Use lowercase values and document approved labels in a shared campaign spreadsheet.

Security Audit

Medium Risk

v1 • 10/5/2026 Open versioned report

Twenty-nine static alerts are false positives from Markdown, example values, documentation links, and analytics terminology. The Facebook Pixel example loads third-party JavaScript and sends page-view telemetry when implemented. A separate consent-guidance gap could leave Custom HTML tracking active before consent; no evidence found of malicious instructions or credential theft.

Files scanned

1,355

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (1)

Medium

references/gtm-implementation.md:225-244 references/gtm-implementation.md:323-347

Custom HTML consent enforcement is incomplete

The guide says 'Tags respect consent state automatically' after consent configuration. Its Facebook Custom HTML example uses 'All Pages' without an explicit consent gate. Google consent settings alone do not stop this Custom HTML pixel, so copied configurations can track visitors before marketing consent.

The example uses an unconditional All Pages trigger, and the consent section provides Google settings without showing Facebook-specific gating. This is a documented deployment risk, not evidence of actual visitor tracking by the skill.

Capability review items (1)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Low

references/gtm-implementation.md:238

Hardcoded URL

'https://connect.facebook.net/en_US/fbevents.js');

The example injects Facebook-hosted JavaScript and calls fbq to record PageView. Implementing it exposes visitor data and browser execution to a third party.

Risk Factors

Audited by: codex

Share & cite this report

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Open versioned report

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https://skillstore.io/skills/coreyhaines31-analytics/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

coreyhaines31. (2026). analytics security audit report (audit version 1) [Author version 2.0.2]. Skillstore. https://skillstore.io/skills/coreyhaines31-analytics/audits/1

BibTeX citation

@techreport{coreyhaines31-coreyhaines31-analytics-2026,
  author = {coreyhaines31},
  title = {analytics security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/coreyhaines31-analytics/audits/1},
  note = {Author version 2.0.2}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "analytics security audit report (audit version 1)"
version: "2.0.2"
type: report
authors:
  - name: "coreyhaines31"
date-released: "2026-10-05"
url: "https://skillstore.io/skills/coreyhaines31-analytics/audits/1"
identifiers:
  - type: other
    value: "skillstore:coreyhaines31-analytics:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

100

Maintainability

Content

Community

Spec Compliance

What You Can Build

Standardize campaign measurement

Define conversion events and UTM conventions for advertising, newsletters, and organic campaigns.

Instrument product activation

Create a SaaS tracking plan for signup, onboarding, feature usage, and subscription changes.

Validate store tracking

Map purchase properties and diagnose missing or duplicate events with GA4 DebugView and GTM Preview.

Try These Prompts

Choose essential events

We run a marketing website using GA4. Recommend five events for demo requests and signups. Include properties, triggers, and the decision each event supports.

Define campaign labels

Create UTM conventions for Google Ads, LinkedIn ads, and our newsletter. Define source, medium, campaign, and content values with examples and a documentation checklist.

Diagnose duplicate conversions

Our GA4 signup event appears twice. We use GTM and application data layer events. Outline checks for duplicate tags, trigger conditions, and conversion counting.

Design an implementation review

Design a GA4 and GTM tracking plan for an online store. Include purchase properties, dimensions, deduplication checks, explicit pixel consent gates, and deployment validation.

Best Practices

Start with business decisions, then document the smallest useful set of events and properties.
Validate event triggers, property values, and duplicate behavior in GTM Preview and GA4 DebugView before publication.
Exclude personal data and test explicit consent gating for each analytics or marketing tag, including Custom HTML pixels.

Avoid

Tracking every interaction without defining which decision it supports.
Using inconsistent event names or UTM labels across teams and channels.
Publishing third-party pixels on All Pages while assuming Google consent settings automatically block them.

Frequently Asked Questions

Does this skill automatically connect to my analytics accounts?

No. It provides guidance and examples; account access requires separately configured tools and authorization.

Which analytics tools receive detailed coverage?

GA4 and Google Tag Manager have bundled implementation references. Other analytics tools are listed with external guide links.

Can it help diagnose duplicate events?

Yes. It provides checks for duplicate containers, repeated triggers, variable paths, and event validation using preview and debugging tools.

Does it guarantee privacy compliance?

No. Review legal requirements, minimize data collection, and explicitly gate third-party pixels with the appropriate consent controls.

Does it cover attribution models or experiment design?

Not in depth. It directs attribution questions and experiment design to related skills while supporting tracking implementation.

What information should I provide first?

Provide your tools, technology stack, existing tracking, key conversions, business decisions, and consent requirements. Relevant local product-marketing context can reduce repeated questions.