shopify-admin-order-notes-and-attributes-report

shopify-admin-order-notes-and-attributes-report is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 33 tokens per session (1,253 once invoked), scanned A, original, MIT.

A Shopify report that collects order notes and custom item details, such as gift messages, engraving text, and special instructions.

In plain words
What is it for?
Use it during picking and packing to find personalization, gift, and other special handling instructions.
Why use it?
It puts requests that might otherwise be buried in individual orders into one list for operations staff. The report only reads order data.

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 — 117 skills shipped together

Good fit Use it during picking and packing to find personalization, gift, and other special handling instructions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/40rty-ai/shopify-admin-skills/shopify-admin-order-notes-and-attributes-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-order-notes-and-attributes-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 117 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-order-notes-and-attributes-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-order-notes-and-attributes-report"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-order-notes-and-attributes-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,253 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.
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 $0.00033 $0.01253
Opus 5.5 $0.00013 $0.00501
Sonnet 5.5 $0.00007 $0.00251
Haiku 4.5 $0.00003 $0.00125

Measured 12d ago against content hash 5dd776581505, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

shopify-admin-order-notes-and-attributes-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 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/order-intelligence/shopify-admin-order-notes-and-attributes-report/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Queries recent orders and extracts order-level notes and custom line item attributes (e.g., gift messages, personalization text, special instructions, engraving text). Produces a report for ops and fulfillment teams to act on special requests during pick/pack. 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 1 Lookback window (default: last 24 hours for daily ops use)
attribute_keys array no [] Specific line item attribute keys to extract (e.g., ["gift_message", "engraving"]); empty = all
only_with_notes bool no false Only include orders that have a note or attributes
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 note, customAttributes, lineItems { customAttributes }, pagination cursor Expected output: Orders with notes and custom attributes; paginate until hasNextPage: false

  2. If only_with_notes: true: filter to orders with non-empty note or non-empty customAttributes

  3. If attribute_keys specified: filter line item attributes to matching keys only

GraphQL Operations

# orders:query — validated against api_version 2025-01
query OrderNotesAndAttributes($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        createdAt
        displayFulfillmentStatus
        note
        customAttributes {
          key
          value
        }
        lineItems(first: 20) {
          edges {
            node {
              id
              title
              quantity
              variant {
                sku
              }
              customAttributes {
                key
                value
              }
            }
          }
        }
        shippingAddress {
          firstName
          lastName
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Read the full file on GitHub · 156 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 · 156 lines · 33 tokens per session scan A 5dd776581505

Subscribe to this mod's changes

shopify-admin-order-notes-and-attributes-report is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (200 stars, last pushed 7d ago), licensed MIT. It adds 33 tokens to every session and 1,253 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-13.

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