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 commerce-agentic/agentic-commerce-skills --skill agentic-commerce-inject-jsonldgit clone --depth 1 https://github.com/commerce-agentic/agentic-commerce-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/commerce-agentic/agentic-commerce-skills/agentic-commerce-inject-jsonld)<a href="https://agentmods.dev/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-inject-jsonld"><img src="https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-inject-jsonld/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/commerce-agentic/agentic-commerce-skills/agentic-commerce-inject-jsonld"><img src="https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-inject-jsonld.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 | $0.00032 | $0.01121 |
| Opus 5 | $0.00016 | $0.00561 |
| Sonnet 5 | $0.00006 | $0.00224 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
agentic-commerce-inject-jsonld 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 9d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
JSON-LD structured data is the language AI shopping agents speak fluently. Themes without canonical Product schema force agents to scrape and infer — error-prone, slow, and frequently skipped entirely.
This skill installs a hardened JSON-LD snippet into the merchant's active Shopify theme that emits a complete Product schema on every PDP, covering: name, brand, sku, gtin, image, description, price, availability, aggregateRating, review, and offers. The snippet uses Liquid for server-side rendering — works on all themes, no JavaScript dependency.
Prerequisites
- Authenticated Shopify CLI session
- API scopes:
read_themes,write_themes
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain |
| dry_run | bool | no | true | Preview the snippet without modifying theme files |
| theme | string | no | published | Theme to modify: published (live theme) or draft |
| snippet_name | string | no | agentic-commerce-jsonld | Filename for the new snippet |
| auto_include | bool | no | true | Auto-include the snippet in templates/product.liquid (set false to manually include) |
Workflow Steps
-
OPERATION:
themes— query to find the target theme (published by default) -
Check for existing JSON-LD: parse the theme files to detect existing
application/ld+jsonscript tags on product pages. If found, log a warning and skip auto-include to avoid duplicate JSON-LD. -
Compose the snippet file at
snippets/{snippet_name}.liquid:{% raw %}<script type="application/ld+json"> { "@context": "https://schema.org/", "@type": "Product", "name": {{ product.title | json }}, "image": [ {% for image in product.images %} {{ image | image_url: width: 1200 | json }}{% unless forloop.last %},{% endunless %} {% endfor %} ], "description": {{ product.description | strip_html | json }}, "sku": {{ product.selected_or_first_available_variant.sku | json }}, "brand": { "@type": "Brand", "name": {{ product.vendor | json }} }, "offers": { "@type": "Offer", "url": {{ shop.url | append: product.url | json }}, "priceCurrency": {{ cart.currency.iso_code | json }}, "price": {{ product.selected_or_first_available_variant.price | money_without_currency | json }}, "availability": {% if product.selected_or_first_available_variant.available %}"https://schema.org/InStock"{% else %}"https://schema.org/OutOfStock"{% endif %} } } </script>{% endraw %}
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.
- 9d ago First seen · 102 lines · 32 tokens per session scan A 6cecd382ae2d
agentic-commerce-inject-jsonld is a skill published in the GitHub repository commerce-agentic/agentic-commerce-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 1,121 once invoked, about $0.0002 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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