shopify-admin-checkout-abandonment-report

shopify-admin-checkout-abandonment-report is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 32 tokens per session (1,653 once invoked), scanned A, original, MIT.

A Shopify report about abandoned checkouts, meaning carts where a shopper began checkout but did not finish paying. It groups those checkouts by cart-value range and hour of day in Coordinated Universal Time (UTC).

In plain words
What is it for?
Use it to analyze abandoned checkouts over a chosen date range, compare cart-value bands, and identify hours when unfinished purchases are more common.
Why use it?
It shows when shoppers leave and which spending ranges are most affected. This makes abandonment patterns easier to inspect than a single overall total.

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 Use it to analyze abandoned checkouts over a chosen date range, compare cart-value bands, and identify hours when unfinished purchases are more common.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/40rty-ai/shopify-admin-skills/shopify-admin-checkout-abandonment-report
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-checkout-abandonment-report
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-checkout-abandonment-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-checkout-abandonment-report"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-checkout-abandonment-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,653 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 $0.00032 $0.01653
Opus 5 $0.00016 $0.00826
Sonnet 5 $0.00006 $0.00331
Haiku 4.5 $0.00003 $0.00165

Measured 13d ago against content hash 1a26e607a5a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

shopify-admin-checkout-abandonment-report 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 13d 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/conversion-optimization/shopify-admin-checkout-abandonment-report/SKILL.md · 179 lines

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

Aggregates abandoned checkout data broken down by cart value bucket and hour of day (UTC). Helps identify when and at what price point customers are most likely to abandon checkout. Scoped to what the abandonedCheckouts API provides — device type and geographic location are not available in this API and are not reported.

Prerequisites

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

Parameters

Parameter Type Required Default Description
store string yes Store domain (e.g., mystore.myshopify.com)
format string no human Output format: human or json
dry_run bool no false Preview operations without executing mutations
date_range_start string yes Start date in ISO 8601 (e.g., 2025-01-01)
date_range_end string yes End date in ISO 8601 (e.g., 2025-01-31)
cart_value_buckets array no [0, 25, 50, 100, 250] Array of thresholds defining cart value bands (e.g., [0,25,50,100,250] creates bands: $0–25, $25–50, $50–100, $100–250, $250+)

Workflow Steps

  1. OPERATION: abandonedCheckouts — query Inputs: first: 250, query: "created_at:>='<date_range_start>' created_at:<='<date_range_end>'", pagination cursor Expected output: All abandoned checkouts in range with totalPrice and createdAt; paginate until hasNextPage: false; then aggregate in-memory: (1) count by cart value bucket, (2) count by hour of day (UTC, 0–23)

GraphQL Operations

# abandonedCheckouts:query — validated against api_version 2025-04
query AbandonedCheckoutsReport($first: Int!, $after: String, $query: String) {
  abandonedCheckouts(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        createdAt
        totalPriceSet {
          shopMoney {
            amount
            currencyCode
          }
        }
        customer {
          defaultEmailAddress {
            emailAddress
          }
        }
        lineItems {
          edges {
            node {
              title
              quantity
              variant {
                price
              }
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Read the full file on GitHub · 179 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. 13d ago First seen · 179 lines · 32 tokens per session scan A 1a26e607a5a8

Subscribe to this mod's changes

shopify-admin-checkout-abandonment-report is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (187 stars, last pushed 29d ago), licensed MIT. It adds 32 tokens to every session and 1,653 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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