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-audience-buildergit 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-audience-builder)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/ga4-audience-builder"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/ga4-audience-builder/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-audience-builder"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/ga4-audience-builder.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 | $0.00098 | $0.04214 |
| Opus 5 | $0.00049 | $0.02107 |
| Sonnet 5 | $0.00020 | $0.00843 |
| Haiku 4.5 | $0.00010 | $0.00421 |
Grade A, and why
ga4-audience-builder 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 8d 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 — 528 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GA4 Audience Builder Guide
Complete guide for building powerful custom audiences in Google Analytics 4 for remarketing and analysis.
Quick Decision Tree
GA4 AUDIENCE BUILDER FLOW
│
├─► WHICH TYPE OF AUDIENCE?
│ ├─► Behavior-based
│ │ └─► Use events + parameters
│ │ └─► Example: "Users who viewed product but did not purchase"
│ │
│ ├─► User Property based
│ │ └─► Demographics, lifetime value, acquisition
│ │ └─► Example: "High-value customers (LTV > €500)"
│ │
│ ├─► Sequential (Journey)
│ │ └─► Steps in order
│ │ └─► Example: "Homepage → Category → Product → NO Purchase"
│ │
│ └─► Predictive (ML)
│ └─► See: ga4-predictive-audiences skill
│
├─► MEMBERSHIP DURATION?
│ ├─► Short (1-7 days)
│ │ └─► Cart abandoners, recent visitors
│ │
│ ├─► Medium (8-30 days)
│ │ └─► Product interest, engaged users
│ │
│ └─► Long (30-540 days)
│ └─► Customer loyalty, seasonal shoppers
│
└─► EXPORT NEEDED?
├─► Google Ads remarketing
│ └─► See: ga4-remarketing-setup skill
│
└─► GA4 analysis only
└─► No export configuration needed
Audience Types Overview
GA4 AUDIENCE TYPES
===================
┌───────────────────┬────────────────────────────────────────────────────┐
│ Type │ Use Case │
├───────────────────┼────────────────────────────────────────────────────┤
│ Static Conditions │ Simple if/then rules │
│ │ "Users with event X" │
├───────────────────┼────────────────────────────────────────────────────┤
│ Dynamic │ Real-time membership updates │
│ │ "Users who purchased last week" │
├───────────────────┼────────────────────────────────────────────────────┤
│ Sequential │ Ordered steps (THEN/FOLLOWED BY) │
│ │ "Viewed product → Added to cart → Did NOT buy" │
├───────────────────┼────────────────────────────────────────────────────┤
│ Exclusion │ Exclude certain users │
│ │ "All visitors EXCEPT converters" │
├───────────────────┼────────────────────────────────────────────────────┤
│ Predictive │ ML-based (purchase/churn probability) │
│ │ "Likely 7-day purchasers" │
└───────────────────┴────────────────────────────────────────────────────┘
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.
- 8d ago First seen · 528 lines · 98 tokens per session scan A 4a716142fe37
ga4-audience-builder is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 10d ago), licensed MIT. It adds 98 tokens to every session and 4,214 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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