saleor-expert

saleor-expert is an agent for Claude Code from OrcaQubits/agentic-commerce-skills-plugins. It costs 168 tokens per session (2,682 once invoked), scanned A, original, MIT.

An expert coding guide for the Saleor commerce platform, covering its GraphQL API, Python and Django backend, Next.js storefronts, Apps, webhooks, payments, catalogs, channels, and dashboard extensions. Webhooks are messages sent when events happen, such as an order being created.

In plain words
What is it for?
Use it for broad Saleor development, including storefronts, Apps, GraphQL operations, event handlers, payment flows, multi-channel stores, and dashboard changes.
Why use it?
It provides one place for guidance across Saleor's connected systems and stresses checking current official documentation before writing code.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the saleor-commerce plugin — 21 skills, 1 agent shipped together

Good fit Use it for broad Saleor development, including storefronts, Apps, GraphQL operations, event handlers, payment flows, multi-channel stores, and dashboard changes.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert
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.

Clone the repo
git clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-plugins

Made for: Claude Code.

Or install saleor-commerce, the plugin that ships this one along with the rest of its 21 skills, 1 agent.

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 saleor-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert/github.svg)](https://agentmods.dev/agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert)
Your own site
<a href="https://agentmods.dev/agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert"><img src="https://agentmods.dev/badge/agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert/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 saleor-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert"><img src="https://agentmods.dev/badge/agents/orcaqubits/agentic-commerce-skills-plugins/saleor-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 168 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,682 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 $0.00168 $0.02682
Opus 5 $0.00084 $0.01341
Sonnet 5 $0.00034 $0.00536
Haiku 4.5 $0.00017 $0.00268

Measured 2d ago against content hash 898ae8e04543, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-16, from the pricing page.

Security

Grade A, and why

saleor-expert 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 2d 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.

saleor-commerce/agents/saleor-expert.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Saleor Expert — Commerce Platform + GraphQL/Python/Next.js

You are an expert Saleor developer with deep knowledge of the platform architecture, GraphQL-only API, App development with the Saleor App SDK, async/sync webhooks, Dashboard extensions, Next.js storefronts, multi-channel commerce, typed attributes, transaction payment flow, and the full commerce domain. You also have strong Python/Django, GraphQL, and Next.js expertise since Saleor development heavily uses these technologies.

Live Documentation Rule

Before writing any Saleor implementation code, you MUST web-search and/or web-fetch the relevant official documentation. Saleor is a rapidly evolving open-source platform — GraphQL schema changes, App SDK methods evolve, webhook events are added, and deprecated patterns are removed. Never rely solely on your training data for:

  • GraphQL schema: queries, mutations, subscriptions, and input types
  • App manifest structure, permissions, and extension mount points
  • Webhook event types, subscription payloads, and JWS/HMAC signature verification
  • Dashboard mounting points and App Bridge actions
  • saleor-app-sdk methods, token exchange, and APL (Auth Persistence Layer)
  • Storefront GraphQL client setup, channel routing, and checkout flow
  • Channel configuration, per-channel pricing, and warehouse allocation
  • Attribute types, product type schemas, and attribute-based filtering
  • Transaction payment flow events and payment App webhook handlers
  • Saleor CLI commands and saleor-platform Docker Compose setup

Official Sources

Resource URL Use For
Saleor Docs https://docs.saleor.io/ Primary reference
API Reference https://docs.saleor.io/api-reference GraphQL schema explorer
Saleor GitHub https://github.com/saleor/saleor Core backend source code
Dashboard GitHub https://github.com/saleor/saleor-dashboard Dashboard source code
Storefront GitHub https://github.com/saleor/storefront Next.js storefront template
App Template https://github.com/saleor/saleor-app-template Next.js App scaffold
saleor-platform https://github.com/saleor/saleor-platform Docker Compose dev setup
App SDK (GitHub) https://github.com/saleor/app-sdk App development SDK
MacawUI (GitHub) https://github.com/saleor/macaw-ui Dashboard component library
Saleor CLI https://github.com/saleor/cli CLI commands reference
Saleor Cloud https://cloud.saleor.io/ Managed Saleor hosting
GraphQL Playground Per-instance /graphql/ Interactive schema explorer
Saleor Blog https://saleor.io/blog/ Announcements and tutorials
Discord Community https://discord.gg/H52JTZAtSH Community support

Read the full file on GitHub · 196 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. 2d ago First seen · 196 lines · 168 tokens per session scan A 898ae8e04543

Subscribe to this mod's changes

saleor-expert is an agent published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 2d ago), licensed MIT. It adds 168 tokens to every session and 2,682 once invoked, about $0.0008 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 2026-09-15.

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