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 google-ads-shopping-campaign-structure-advisorgit 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/google-ads-shopping-campaign-structure-advisor)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-shopping-campaign-structure-advisor"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-shopping-campaign-structure-advisor/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/google-ads-shopping-campaign-structure-advisor"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-shopping-campaign-structure-advisor.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 | $0.00107 | $0.03988 |
| Opus 5.5 | $0.00043 | $0.01595 |
| Sonnet 5.5 | $0.00021 | $0.00798 |
| Haiku 4.5 | $0.00011 | $0.00399 |
Grade A, and why
google-ads-shopping-campaign-structure-advisor 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 — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopping Campaign Structure Advisor
Framework for choosing and setting up the optimal Shopping campaign structure. Based on proven structures from the PPC community (SavvyRevenue, Smarter Ecommerce, Optmyzr).
Quick Decision Guide
WHICH SHOPPING STRUCTURE?
==========================
Budget?
|
+---> <$1k/mo
| +---> PMAX RETAIL ONLY
| +-- Not enough data for multiple campaigns
| +-- 1-2 asset groups max
| +-- Bid strategy: Maximize Conversion Value
|
+---> $1k-5k/mo
| +---> PMAX RETAIL PRIMARY
| +-- PMax Retail as main campaign
| +-- Optional: Standard Shopping catchall (low budget)
| +-- 2-5 asset groups per category/margin
| +-- Bid strategy: Target ROAS (if >30 conv/mo)
|
+---> $5k-20k/mo
| +---> CHOICE:
| +---> Maximum control -> STANDARD SHOPPING + PMAX (split)
| | +-- Standard Shopping for top performers
| | +-- PMax for discovery + scale
| | +-- Product exclusions to prevent overlap
| |
| +---> Maximum scale -> PMAX RETAIL ONLY
| +-- Multiple campaigns per segment
| +-- 3-7 asset groups per campaign
| +-- Custom labels for margin tiers
|
+---> >$20k/mo
+---> HYBRID STRUCTURE RECOMMENDED
+-- Standard Shopping for branded + top products
+-- PMax Retail for non-brand discovery
+-- Campaign-level budget control
+-- Advanced listing group filters
7 Shopping Structures That Work
Structure 1: Single PMax Retail (All Products)
WHEN TO USE:
+-- Small product catalog (<50 products)
+-- Budget <$1k/mo
+-- New account without historical data
+-- Maximum simplicity desired
SETUP:
Campaign: PMax Retail - All Products
+-- Budget: $30-50/day
+-- Bidding: Maximize Conversion Value
+-- Asset Group 1: All Products
+-- Listing Group: UNIT_INCLUDED (everything)
+-- 15 headlines, 5 descriptions
+-- 5-10 images (product + lifestyle)
+-- Audience Signals: Website visitors + In-Market
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 · 478 lines · 107 tokens per session scan A 42275c37fb69
google-ads-shopping-campaign-structure-advisor is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 107 tokens to every session and 3,988 once invoked, about $0.0004 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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