Skills analytics-tracking
📦

analytics-tracking

Content revision r2 Safe ⚙️ External commands

Build Reliable Analytics Tracking Plans

Unclear events and inconsistent conversions make analytics difficult to trust. This skill creates decision-focused measurement plans, quality scores, validation steps, and governance guidance.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

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-tracking" from https://skillstore.io/skills/sickn33-analytics-tracking.md and its manifest at https://skillstore.io/api/skills/sickn33-analytics-tracking/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/sickn33-analytics-tracking.md Signed manifest GET /api/skills/sickn33-analytics-tracking/manifest Signed lockfile GET /api/skills/sickn33-analytics-tracking/lockfile

Test it

Using "analytics-tracking". Review a SaaS signup funnel using GA4 and GTM with duplicate form events and unclear conversion counting.

Expected outcome:

  • Readiness score: 61, Unreliable. Main gaps are duplicate firing, unclear ownership, and inconsistent conversion rules.
  • Priority action: define signup_completed as the conversion, document once-per-user counting, and test consent, mobile, and browser states.
  • Tracking plan: pricing_viewed supports offer analysis; form_started supports abandonment analysis; signup_completed supports acquisition and activation decisions.

Using "analytics-tracking". Create measurement guidance for an online store that uses inconsistent UTMs and treats product views as conversions.

Expected outcome:

  • Use purchase_completed as the primary conversion and keep product_viewed as an intent signal.
  • Adopt lowercase UTM values, consistent separators, central documentation, and rules that preserve the original source.
  • Validate order values, duplicate purchases, consent states, mobile behavior, and cross-domain attribution before reporting performance.

Security Audit

Safe
v5 • 7/23/2026 Open versioned report

Both static findings are false positives caused by Markdown and analytics terminology in SKILL.md. The skill contains advisory measurement guidance, with no executable commands, system reconnaissance, prompt injection, or data-exfiltration intent.

1
Files scanned
411
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (1)
SKILL.md:229-231
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). analytics-tracking security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-analytics-tracking/audits/5

BibTeX citation

@techreport{sickn33-sickn33-analytics-tracking-2026, author = {sickn33}, title = {analytics-tracking security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/sickn33-analytics-tracking/audits/5}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "analytics-tracking security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-07-23" url: "https://skillstore.io/skills/sickn33-analytics-tracking/audits/5" identifiers: - type: other value: "skillstore:sickn33-analytics-tracking:audit:5" description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Higher Skillstore usage
sickn33 Recommended Current

sickn33-analytics-tracking

Skillstore Score 78
Evidence Confidence High
Skillstore usage 17
Updated

2026-08-21

coreyhaines31

coreyhaines31-analytics-tracking

Skillstore Score 78
Evidence Confidence High
Skillstore usage 10
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
68
Community
83
Spec Compliance

What You Can Build

Plan Product Analytics

Create a decision-focused event model for onboarding, activation, feature use, and retention.

Repair Campaign Measurement

Standardize conversions, UTM rules, attribution context, and reporting signals across acquisition channels.

Audit Tracking Quality

Find duplicate events, missing properties, consent gaps, unclear ownership, and unreliable conversion counts.

Try These Prompts

Assess Analytics Readiness 
Assess our analytics readiness for [product]. We use [tools] and track [events]. Score each category, explain gaps, and recommend the first fixes.
Create a Tracking Plan 
Create a tracking plan for [journey]. Our decisions are [decisions]. Define events, properties, triggers, conversions, counting rules, owners, and validation steps.
Audit an Event Inventory 
Audit this event inventory: [inventory]. Map each event to a decision, identify duplication and PII risks, then propose a cleaner taxonomy and validation plan.
Design Cross-Platform Measurement 
Design an advanced measurement strategy for [business model] across [domains and devices]. Include GA4 and GTM notes, attribution rules, consent states, ownership, testing, and governance.

Best Practices

  • Start with the decisions and actions that each metric must support.
  • Prefer a small set of accurate events with documented properties and owners.
  • Validate duplicate firing, consent behavior, attribution, mobile, and browser coverage before using results.

Avoid

  • Do not track events without a defined decision or responsible owner.
  • Do not classify page views, button clicks, or form starts as completed conversions.
  • Do not collect PII, unrestricted free text, or duplicate automatic properties.

Frequently Asked Questions

Which analytics tools does this skill support?
It provides general guidance and includes specific recommendations for GA4, Google Tag Manager, UTMs, and common product analytics platforms.
Does this skill install tracking code?
No. It designs and audits measurement plans but does not access platforms, publish containers, or modify application code.
What information should I provide?
Provide business decisions, user journeys, current events, conversions, tools, known data issues, owners, and compliance constraints.
How is measurement readiness scored?
The score weights decision alignment, event clarity, data integrity, conversion quality, attribution context, and governance.
Can it help prevent privacy problems?
It identifies PII, consent, minimization, deletion, and retention concerns, but qualified experts must confirm legal compliance.
What happens when the setup scores poorly?
The skill stops optimization guidance, explains the reliability gaps, and recommends remediation before decisions depend on the data.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/analytics-tracking

Ref

ebdfe608f5de2b66ff37ab4af12af8ac4f5e8006

Maintenance freshness

7/26/2026

Usage

10 downloads · 94 views

File structure

📄 SKILL.md