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 finsilabs/awesome-ecommerce-skills --skill google-shopping-feedgit clone --depth 1 https://github.com/finsilabs/awesome-ecommerce-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/finsilabs/awesome-ecommerce-skills/google-shopping-feed)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/google-shopping-feed"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/google-shopping-feed/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/finsilabs/awesome-ecommerce-skills/google-shopping-feed"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/google-shopping-feed.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 | $0.00025 | $0.02426 |
| Opus 5 | $0.00013 | $0.01213 |
| Sonnet 5 | $0.00005 | $0.00485 |
| Haiku 4.5 | $0.00003 | $0.00243 |
Grade A, and why
google-shopping-feed 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Shopping Feed
Overview
Google Merchant Center requires a product data feed with specific attributes to serve Shopping ads. Shopify, WooCommerce, and BigCommerce all have official Google integrations that handle feed generation automatically. This skill covers setting up the integration, optimizing feed quality (the primary Shopping ranking factor), and fixing common disapproval issues.
When to Use This Skill
- When setting up Google Shopping Ads for the first time
- When products are being disapproved in Merchant Center due to feed quality issues
- When price or availability in the feed is lagging behind the live website
- When optimizing feed titles and descriptions to capture more relevant search queries
- When managing feeds for multiple countries or currencies
Core Instructions
Step 1: Set up your Google Merchant Center account
- Go to merchants.google.com and create an account
- Verify and claim your store's domain under Business Information → Website (add a meta tag or upload a file to your store)
- Accept the Merchant Center terms and policies
- Link your Google Ads account: Settings → Linked Accounts → Google Ads
Step 2: Connect your platform to Merchant Center
Shopify
- Go to Shopify Admin → Sales Channels → + → Google & YouTube
- Install the Google & YouTube channel
- Connect your Google account and select your Merchant Center account
- Under Product Feed, Shopify automatically syncs your entire catalog with all required attributes (title, price, availability, images, GTIN if provided)
- Go to Google & YouTube → Overview to verify the feed sync status
- Check Products → Issues in Merchant Center to see any disapproved products
Improving feed quality on Shopify:
- Ensure every product has: a clear title with brand + product name, a description, a main image, and the correct product type
- Add GTINs (barcodes) to products under Products → [Product] → Variants → Barcode — GTINs improve Shopping impression share significantly
- For Google product category: install Google Shopping Feed or Feedonomics app from the Shopify App Store to map Shopify product types to Google Taxonomy IDs
What ships with it
7 files 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.
- evals/content-api-batch-updates-and-supplement/criteria.json 2.9 KB
- evals/content-api-batch-updates-and-supplement/task.md 2.2 KB
- evals/feed-audit-multi-country-setup-and-varia/criteria.json 3.0 KB
- evals/feed-audit-multi-country-setup-and-varia/task.md 2.0 KB
- evals/xml-feed-structure-and-title-optimizatio/criteria.json 3.1 KB
- evals/xml-feed-structure-and-title-optimizatio/task.md 4.1 KB
- tile.json 236 B
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 · 210 lines · 25 tokens per session scan A 4911a6a78944
google-shopping-feed is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 25 tokens to every session and 2,426 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 2026-09-03.
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