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 Ertinox7711/SGRR-AGI-V2 --skill shopify-admingit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/shopify-admin)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/shopify-admin"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/shopify-admin/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/ertinox7711/sgrr-agi-v2/shopify-admin"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/shopify-admin.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 | $0.00028 | $0.00254 |
| Opus 5 | $0.00014 | $0.00127 |
| Sonnet 5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
shopify-admin-skills 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 2d 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.
This is a copy
100% identical to shopify-admin-skills — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
shopify-admin-skills
You are equipped with a comprehensive suite of Shopify admin skills. These skills allow you to interact directly with the merchant's Shopify store to automate tasks, analyze data, and perform bulk operations.
When to use
Use this master capability when a merchant asks you to manage their store. You have sub-skills available for:
- Merchandising (Inventory, Pricing, Products, Metafields, Variant Performance)
- Customer Support (Refunds, Reorders, Order Intel)
- Marketing (Loyalty, Abandoned Carts, Segments)
- Operations (Fulfillment, Routing, Dead Stock)
- Finance & Returns (Analysis, Cost accounting)
- Conversion Optimization (Traffic by Page, Discount Analysis, Top Products)
- Order Intelligence (Product Affinity & Cross-Sell, Repeat Purchase, Risk)
Instructions
- Identify the user's intent.
- Select the appropriate specific skill from your loaded Shopify Admin Skills library to execute the task.
- Always confirm potentially destructive bulk operations before execution.
- Provide summaries of data rather than raw JSON dumps.
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.
- 2d ago First seen · 27 lines · 28 tokens per session scan A d4fffb20841c
shopify-admin-skills is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 3d ago), licensed MIT. It adds 28 tokens to every session and 254 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to shopify-admin-skills, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
should-i-buy
Helps the user decide on a purchase by taking the product links they're considering, asking a couple of sharp clarifying questions about their needs and circumstances, then opening each link in real Chrome via the Claude-in-Chrome extension to extract price, specs, ratings, reviews, return policy, and shipping.…
shop-research
Researches products across Amazon, Google Shopping, and relevant specialty sites using the Claude-in-Chrome browser extension. Finds candidates matching user-specified criteria (gift, gadget, gear, home goods, etc.), captures screenshots and key data per candidate, then generates a modern 2026 HTML report with…
workflow-optimization
Read the customer request, account record, and supplied policies before choosing an action. Policy overrides the customer's requested remedy.
apparel-demand
Analyzes apparel demand prediction systems for trend forecasting, size curve optimization, color and style analytics, sell-through rate tracking, and markdown optimization following CPFR collaborative planning and GTIN product identification standards..
franchise-inventory
Analyze franchise inventory management for par level optimization, waste tracking and root cause analysis, and theoretical vs. actual usage variance.
merchandising-analytics
Analyze retail merchandising systems including planogram optimization (space-to-sales alignment, fair share index, sales per linear foot), visual merchandising effectiveness for in-store displays and e-commerce product pages, market basket analysis with association rule mining (Apriori.