Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill ga4-revenue-analysisgit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/ga4-revenue-analysis)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/ga4-revenue-analysis"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/ga4-revenue-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/ga4-revenue-analysis"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/ga4-revenue-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00087 | $0.04356 |
| Opus 5.5 | $0.00035 | $0.01742 |
| Sonnet 5.5 | $0.00017 | $0.00871 |
| Haiku 4.5 | $0.00009 | $0.00436 |
Grade A, and why
ga4-revenue-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GA4 Revenue Analysis Guide
Complete guide for analyzing e-commerce revenue, product performance, and checkout funnels in Google Analytics 4.
Quick Decision Tree
GA4 REVENUE ANALYSIS FLOW
|
+---> WHAT DO YOU WANT TO ANALYZE?
| +---> Overall revenue & trends
| | +---> Monetization overview report
| | +---> Date comparison for trends
| |
| +---> Product performance
| | +---> E-commerce purchases report
| | +---> Items viewed vs purchased
| |
| +---> Checkout dropoff
| | +---> Custom funnel exploration
| | +---> Checkout step analysis
| |
| +---> Customer journey
| +---> Path exploration
| +---> Purchase path analysis
|
+---> WHICH DIMENSIONS NEEDED?
| +---> Traffic source impact
| | +---> Session source/medium breakdown
| |
| +---> Device/platform
| | +---> Device category, platform
| |
| +---> Audience segments
| +---> Custom segments or audiences
|
+---> REPORTING NEEDS?
+---> Ad-hoc analysis
| +---> Explorations (free-form analysis)
|
+---> Recurring reports
| +---> Custom reports in Library
|
+---> External dashboards
+---> Looker Studio / BigQuery export
Monetization Reports Overview
GA4 MONETIZATION REPORTS
========================
LOCATION: Reports -> Monetization
AVAILABLE REPORTS:
+-------------------------+------------------------------------------+
| Report | Shows |
+-------------------------+------------------------------------------+
| Overview | Revenue KPIs, trends, top items |
+-------------------------+------------------------------------------+
| E-commerce purchases | Product-level metrics (views, carts, |
| | purchases, revenue) |
+-------------------------+------------------------------------------+
| In-app purchases | App subscription/purchase data |
+-------------------------+------------------------------------------+
| Publisher ads | Ad revenue (AdMob/Ad Manager) |
+-------------------------+------------------------------------------+
| Promotions | Promotion performance |
+-------------------------+------------------------------------------+
MONETIZATION OVERVIEW METRICS:
------------------------------
+-------------------------+------------------------------------------+
| Metric | Definition |
+-------------------------+------------------------------------------+
| Total revenue | purchase + in_app_purchase + ad revenue |
+-------------------------+------------------------------------------+
| E-commerce revenue | Purchase event revenue only |
+-------------------------+------------------------------------------+
| Total purchasers | Unique users with purchase event |
+-------------------------+------------------------------------------+
| First-time purchasers | Users with their first ever purchase |
+-------------------------+------------------------------------------+
| ARPPU | Average Revenue Per Paying User |
+-------------------------+------------------------------------------+
| Average purchase value | Average order value |
+-------------------------+------------------------------------------+
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 598 lines · 87 tokens per session scan A 99ac80916634
ga4-revenue-analysis is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 87 tokens to every session and 4,356 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.
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