shopify-admin-customer-spend-tier-tagger

shopify-admin-customer-spend-tier-tagger is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 37 tokens per session (1,571 once invoked), scanned A, original, MIT.

A Shopify store task that totals each customer’s spending from their orders and assigns a tag such as Bronze, Silver, Gold, or Platinum.

In plain words
What is it for?
Calculating lifetime customer spend, applying configurable tier tags, removing outdated tier tags, previewing changes with a dry run, and exporting human-readable or JSON results.
Why use it?
It creates customer spending groups directly in Shopify, so stores can identify valuable customers without a separate loyalty app.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; mentions Claude Code; mentions Codex.

Part of the shopify-admin-skills plugin — 57 skills shipped together

Good fit Calculating lifetime customer spend, applying configurable tier tags, removing outdated tier tags, previewing changes with a dry run, and exporting human-readable or JSON results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger
Install

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.

Any agent
npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-customer-spend-tier-tagger
Clone the repo
git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills

Made for: Claude Code.

Or install shopify-admin-skills, the plugin that ships this one along with the rest of its 57 skills.

Wrote 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.

agentmods badge for shopify-admin-customer-spend-tier-tagger

README.md
[![agentmods](https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger/github.svg)](https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger)
Your own site
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger/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.

agentmods 80×15 button for shopify-admin-customer-spend-tier-tagger

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-spend-tier-tagger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01571
Opus 5 $0.00018 $0.00785
Sonnet 5 $0.00007 $0.00314
Haiku 4.5 $0.00004 $0.00157

Measured 12d ago against content hash ad915133d2be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

shopify-admin-customer-spend-tier-tagger 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.

skills/customer-ops/shopify-admin-customer-spend-tier-tagger/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Queries all customers, calculates their lifetime spend using order history, and assigns a spend-tier tag (Bronze/Silver/Gold/Platinum by default). Enables VIP segmentation for loyalty programs, exclusive offers, and CX prioritization without a third-party loyalty app. Extends the existing loyalty-segment-export skill with a write step.

Prerequisites

  • Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_customers,read_orders,write_customers
  • API scopes: read_customers, read_orders, write_customers

Parameters

Parameter Type Required Default Description
store string yes Store domain (e.g., mystore.myshopify.com)
tiers object no see below Spend thresholds per tier (in store currency)
tag_prefix string no tier Tag prefix (e.g., tier:bronze, tier:silver)
remove_old_tiers bool no true Remove existing tier tags before applying new ones
dry_run bool no true Preview without executing mutations
format string no human Output format: human or json

Default tiers (store currency):

bronze:   $0–$249
silver:   $250–$999
gold:     $1,000–$4,999
platinum: $5,000+

Safety

⚠️ tagsAdd adds tags to customer records visible to staff and used by marketing segments. If remove_old_tiers: true, existing tier tags matching tag_prefix are removed before new ones are applied. Run with dry_run: true to review the tier distribution before committing.

Workflow Steps

  1. OPERATION: customers — query Inputs: first: 250, select id, amountSpent, pagination cursor Expected output: All customers with lifetime spend; paginate until hasNextPage: false

  2. Assign tier to each customer based on amountSpent.amount vs. tiers thresholds

  3. OPERATION: orders — query (optional — for verification of spend figures)

  4. OPERATION: tagsAdd — mutation Inputs: Customer id, tags: ["<tag_prefix>:<tier>"] Expected output: Updated customer tags; userErrors

Read the full file on GitHub · 195 lines

Changes

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.

  1. 12d ago First seen · 195 lines · 37 tokens per session scan A ad915133d2be

Subscribe to this mod's changes

shopify-admin-customer-spend-tier-tagger is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (187 stars, last pushed 28d ago), licensed MIT. It adds 37 tokens to every session and 1,571 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.

Related

Other skills, from other repositories

amazon-reviews-api-skill

This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…

browser-act/skills · 124 tokens

amazon-competitor-analyzer

Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.

browser-act/skills · 48 tokens

asc-subscription-localization

Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.

rorkai/app-store-connect-cli-skills · 60 tokens

food-order

Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.

Bitterbot-AI/bitterbot-desktop · 53 tokens

product-description-generator

E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve…

nexscope-ai/eCommerce-Skills · 126 tokens

amazon-price-tracker

Amazon price monitoring and competitive pricing intelligence. Real-time price tracking, Buy Box analysis, promotion detection, and dynamic pricing strategy optimization. Use when the user asks about price monitoring, competitor pricing, Buy Box tracking, or pricing strategy.

nexscope-ai/Amazon-Skills · 51 tokens