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-feed-optimizergit 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-feed-optimizer)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-shopping-feed-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-shopping-feed-optimizer/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-feed-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-shopping-feed-optimizer.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 | $0.05282 |
| Opus 5.5 | $0.00043 | $0.02113 |
| Sonnet 5.5 | $0.00021 | $0.01056 |
| Haiku 4.5 | $0.00011 | $0.00528 |
Grade A, and why
google-ads-shopping-feed-optimizer 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 — 828 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopping Feed Optimizer
Complete guide for optimizing Google Merchant Center product feeds for Shopping campaigns and Performance Max.
Feed Quality Impact
FEED QUALITY -> PERFORMANCE IMPACT
====================================
+--------------------------------------------------------------+
| FEED ELEMENT | IMPACT ON PERFORMANCE |
+--------------------------------------------------------------+
| Product Title | ***** Highest impact on CTR/relevance|
| Product Image | ***** Direct impact on CTR |
| Price Accuracy | **** Conversion and trust |
| Availability | **** Waste prevention |
| GTIN/MPN | *** Matching and comparison |
| Description | *** Extended relevance |
| Product Type | *** Google categorization |
| Custom Labels | ** Campaign segmentation |
| Additional Attributes | ** Filtering and rich results |
+--------------------------------------------------------------+
Product Title Optimization
Title Structure Framework
TITLE FORMULA (priority order)
===================================
FORMULA: [Brand] + [Product Type] + [Key Attributes] + [Model/Variant]
E-COMMERCE EXAMPLES:
---------------------
Fashion:
+-- Bad: "Blue Dress"
+-- Better: "Nike Air Max 90 Sneakers Men's White Size 10"
+-- Best: "Nike Air Max 90 - Men's Sneakers - White/Black - Size 10"
Electronics:
+-- Bad: "Laptop"
+-- Better: "Apple MacBook Pro 14 inch M3 16GB"
+-- Best: "Apple MacBook Pro 14 inch (2024) - M3 Pro - 16GB RAM - 512GB SSD"
Home & Garden:
+-- Bad: "Lamp"
+-- Better: "Philips Hue White Ambiance E27 LED Lamp"
+-- Best: "Philips Hue White Ambiance - E27 LED Smart Lamp - Dimmable - Bluetooth"
MAXIMUM LENGTH: 150 characters (use at least 70+)
Title Optimization Checklist
TITLE CHECKLIST
===============
[ ] Brand name present (at the beginning or prominent)
[ ] Product type clearly named
[ ] Key attributes included (color, size, material)
[ ] Model/variant specific
[ ] No keyword stuffing
[ ] No promotional text ("Sale!", "Free shipping")
[ ] No all-caps for full words (NIKE -> Nike)
[ ] Spelling and grammar correct
REQUIRED ATTRIBUTES BY CATEGORY:
---------------------------------
Apparel:
+-- Gender (Men's/Women's/Unisex)
+-- Size or size indication
+-- Color
+-- Material (if relevant)
Electronics:
+-- Brand
+-- Model number
+-- Key specs
+-- Capacity/Size
Furniture:
+-- Furniture type
+-- Material
+-- Dimensions or size
+-- Color/Finish
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 828 lines · 107 tokens per session scan A e18c13fe4f31
google-ads-shopping-feed-optimizer 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 5,282 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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