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 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-product-taxonomygit clone --depth 1 https://github.com/40RTY-ai/shopify-admin-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/40rty-ai/shopify-admin-skills/shopify-admin-agentic-product-taxonomy)<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-agentic-product-taxonomy"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-agentic-product-taxonomy/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/40rty-ai/shopify-admin-skills/shopify-admin-agentic-product-taxonomy"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-agentic-product-taxonomy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01594 |
| Opus 5 | $0.00019 | $0.00797 |
| Sonnet 5 | $0.00008 | $0.00319 |
| Haiku 4.5 | $0.00004 | $0.00159 |
Grade A, and why
shopify-admin-agentic-product-taxonomy 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 12d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
AI shopping agents resolve a query ("running shoes", "office chair", "sustainable sneakers") to a taxonomy node, then retrieve products in that node. Products with no Standard Product Taxonomy category are invisible to that mapping — they only surface on exact keyword luck. This skill finds uncategorized (or mis-categorized) products and assigns the correct Shopify standard taxonomy category, inferred from title/type/tags and confirmed against the live taxonomy tree. Fixes category-taxonomy-api and lifts catalog-intent-alignment.
Prerequisites
- Authenticated Shopify CLI session (
shopify auth login --store <domain>) - Required API scopes:
read_products,write_products
Parameters
All skills accept these universal parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| format | string | no | human | Output format: human (default) or json |
| dry_run | bool | no | false | Preview mutations without executing |
Skill-specific parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| collection_id | string | no | — | Limit to a collection GID |
| tag | string | no | — | Limit to a product tag |
| only_missing | bool | no | true | If true, only assign products with no category; if false, also review mismatches |
| confidence_floor | float | no | 0.7 | Skip products whose best taxonomy match scores below this |
Safety
⚠️ Step 4 (
productUpdate) sets thecategoryon live products, which affects storefront facets, marketplaces, and tax. A wrong category mis-files a product everywhere. Rundry_run: true, review the proposedproduct → categorymapping, and only auto-assign matches aboveconfidence_floor; queue the rest for human review.
Workflow Steps
- OPERATION:
products— query Inputs:first: 250, optional filter; fieldstitle,productType,tags,category{ id fullName }; paginate. Expected output: Products with their current category (or null).
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.
- 12d ago First seen · 179 lines · 39 tokens per session scan A 7d3336a928e0
shopify-admin-agentic-product-taxonomy is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (187 stars, last pushed 28d ago), licensed MIT. It adds 39 tokens to every session and 1,594 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 2026-08-30.
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