shopify-admin-refund-rate-analysis

shopify-admin-refund-rate-analysis is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 28 tokens per session (1,267 once invoked), scanned A, original, MIT.

A read-only Shopify report that calculates how often orders are refunded, grouped by product, vendor, or time period. A refund is money returned to a customer after a purchase.

In plain words
What is it for?
It helps compare refund rates among products, vendors, or periods using Shopify order and refund data.
Why use it?
Refund totals alone can hide which products or product groups cause the most problems. This report highlights patterns that may point to quality or product-listing issues.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

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

Good fit It helps compare refund rates among products, vendors, or periods using Shopify order and refund data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/40rty-ai/shopify-admin-skills/shopify-admin-refund-rate-analysis
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-refund-rate-analysis
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-refund-rate-analysis

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-refund-rate-analysis"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-refund-rate-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,267 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 $0.00028 $0.01267
Opus 5 $0.00014 $0.00633
Sonnet 5 $0.00006 $0.00253
Haiku 4.5 $0.00003 $0.00127

Measured 11d ago against content hash 8409af96315a, 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-refund-rate-analysis 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 11d 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/finance/shopify-admin-refund-rate-analysis/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Analyzes orders with refunds to calculate refund rates by product, time period, and channel. Surfaces which products or product groups generate the most refund activity. Read-only — no mutations.

Prerequisites

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

Parameters

Parameter Type Required Default Description
store string yes Store domain (e.g., mystore.myshopify.com)
days_back integer no 30 Lookback window
group_by string no product Breakdown: product, vendor, or period
min_orders integer no 5 Minimum orders per group to include in rate calculation
format string no human Output format: human or json

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Workflow Steps

  1. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select refunds { refundLineItems }, lineItems, pagination cursor Expected output: All orders with refund data; paginate until hasNextPage: false

  2. For each refunded line item: record product, vendor, quantity refunded, refund amount

  3. Aggregate by group_by: calculate refund_rate = refunded_units / total_units_sold × 100

GraphQL Operations

# orders:query — validated against api_version 2025-01
query OrdersWithRefunds($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        createdAt
        lineItems(first: 50) {
          edges {
            node {
              id
              quantity
              product {
                id
                title
                vendor
              }
              variant {
                id
                sku
              }
            }
          }
        }
        refunds {
          id
          createdAt
          totalRefundedSet {
            shopMoney {
              amount
              currencyCode
            }
          }
          refundLineItems(first: 50) {
            edges {
              node {
                quantity
                lineItem {
                  product {
                    id
                    title
                    vendor
                  }
                  variant {
                    id
                    sku
                  }
                }
              }
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Read the full file on GitHub · 178 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. 11d ago First seen · 178 lines · 28 tokens per session scan A 8409af96315a

Subscribe to this mod's changes

shopify-admin-refund-rate-analysis is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (185 stars, last pushed 27d ago), licensed MIT. It adds 28 tokens to every session and 1,267 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 2026-08-30.

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