shopify-admin-customer-timeline-export

shopify-admin-customer-timeline-export is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 46 tokens per session (2,078 once invoked), scanned A, original, MIT.

A read-only export of one Shopify customer's complete history in chronological order, including orders, items, refunds, returns, addresses, notes, tags, marketing consent, and lifetime spending.

In plain words
What is it for?
Use it for support escalations, customer data requests, or reviewing an account before merging or deleting it.
Why use it?
It gathers information spread across customer and order records into one CSV and readable timeline, making the full account easier to review.

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 Use it for support escalations, customer data requests, or reviewing an account before merging or deleting it.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-timeline-export"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-timeline-export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,078 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 $0.00046 $0.02078
Opus 5 $0.00023 $0.01039
Sonnet 5 $0.00009 $0.00416
Haiku 4.5 $0.00005 $0.00208

Measured 12d ago against content hash dac4b85f7fd0, 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-timeline-export 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-support/shopify-admin-customer-timeline-export/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Produces a complete, chronological dossier for a single customer. Pulls the customer record (identity, marketing consent, lifetime totals, tags, notes, addresses) and every order they've placed (with line items, fulfillments, refunds, and returns) and emits one merged CSV plus a human-readable timeline. Used by support agents handling escalations, by data export requests, and as the source-of-truth dump before an account merge or deletion. Read-only — no mutations.

Prerequisites

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

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
customer_id string yes GID of the customer (e.g., gid://shopify/Customer/12345)
include_line_items bool no true Include per-line-item rows in the CSV (one row per line item)
include_refunds bool no true Include refunds and returns as separate rows in the timeline
max_orders integer no 250 Cap on orders fetched (most recent first); 0 = no cap

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time. Output contains personally identifiable information — handle the resulting CSV with the same care as any customer export and delete it once the support case is closed.

Workflow Steps

  1. OPERATION: customer — query Inputs: id: <customer_id>, select identity fields, lifetime aggregates, tags, note, marketing consent, addresses, createdAt Expected output: Customer header record; abort with a clear error if null

  2. OPERATION: orders — query Inputs: query: "customer_id:<numeric_id>", first: 250, sortKey: CREATED_AT, reverse: true, select id, name, createdAt, processedAt, displayFinancialStatus, displayFulfillmentStatus, totalPriceSet, totalShippingPriceSet, totalDiscountsSet, lineItems(first: 50) { node { id title quantity sku discountedTotalSet variant { sku } } }, fulfillments { id status deliveredAt trackingInfo { number url } }, refunds { id createdAt totalRefundedSet refundLineItems(first: 50) { node { lineItem { id title } quantity subtotalSet } } }, pagination cursor (stop at max_orders if set) Expected output: Full chronological order list with embedded refunds and fulfillments

Read the full file on GitHub · 201 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 · 201 lines · 46 tokens per session scan A dac4b85f7fd0

Subscribe to this mod's changes

shopify-admin-customer-timeline-export is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (185 stars, last pushed 28d ago), licensed MIT. It adds 46 tokens to every session and 2,078 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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