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 itallstartedwithaidea/agent-skills --skill shopping-adsgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/itallstartedwithaidea/agent-skills/shopping-ads)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/shopping-ads"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/shopping-ads/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/itallstartedwithaidea/agent-skills/shopping-ads"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/shopping-ads.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 | $0.00023 | $0.02512 |
| Opus 5 | $0.00012 | $0.01256 |
| Sonnet 5 | $0.00005 | $0.00502 |
| Haiku 4.5 | $0.00002 | $0.00251 |
Grade A, and why
shopping-ads 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 11d 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 — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopping Ads
Part of Agent Skills™ by googleadsagent.ai™
Description
The Shopping Ads skill delivers end-to-end management of Google Shopping campaigns and Merchant Center product feeds. Shopping ads are the highest-intent ad format in Google's ecosystem — users see the product image, price, and merchant name before clicking, resulting in qualified traffic with strong purchase intent. The difference between mediocre and exceptional Shopping performance almost always comes down to feed quality and campaign structure.
Product feed optimization is the foundation. The skill audits every feed attribute — title, description, product type, Google product category, GTINs, custom labels, images, pricing, availability — against Google's requirements and competitive best practices. Titles are optimized with search-relevant attributes (brand, color, size, material) front-loaded for maximum visibility. Descriptions are enriched with long-tail query-matching terms. Custom labels enable performance-based segmentation (margin tiers, best sellers, seasonal items) that powers intelligent bidding strategies.
Campaign structure extends feed optimization into bid management. The skill designs Shopping campaign architectures using priority settings, custom label segmentation, and negative keyword sculpting to control which products match which queries at what bids. For Standard Shopping, this means tiered campaigns with query-level control. For PMax Shopping, it means asset group segmentation aligned with product performance clusters. Supplemental feeds, competitive pricing intelligence, local inventory ads, and free listings round out the comprehensive Shopping strategy.
Use When
- User asks about "Shopping ads" or "Shopping campaigns"
- User mentions "product feed" or "Merchant Center"
- User wants to "optimize product titles" or "improve feed quality"
- User asks about "custom labels" or "supplemental feeds"
- User mentions "product disapprovals" or "Merchant Center errors"
- User wants to "improve Shopping ROAS" or "reduce Shopping CPA"
- User asks about "competitive pricing" or "price benchmarks"
- User mentions "local inventory ads" or "free listings"
- User wants to "segment products" by performance
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.
- 11d ago First seen · 281 lines · 23 tokens per session scan A 5e495d5efda1
shopping-ads is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (37 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 2,512 once invoked, about $0.0001 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 2026-08-30.
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