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.
npx skills add finsilabs/awesome-ecommerce-skills --skill order-processing-pipelinegit clone --depth 1 https://github.com/finsilabs/awesome-ecommerce-skillsWrote 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.
[](https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/order-processing-pipeline)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/order-processing-pipeline"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/order-processing-pipeline/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.
<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/order-processing-pipeline"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/order-processing-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.02638 |
| Opus 5 | $0.00014 | $0.01319 |
| Sonnet 5 | $0.00005 | $0.00528 |
| Haiku 4.5 | $0.00003 | $0.00264 |
Grade A, and why
order-processing-pipeline 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Order Processing Pipeline
Overview
Every ecommerce order follows a lifecycle: placed → payment confirmed → fulfillment started → shipped → delivered. Shopify, WooCommerce, and BigCommerce each implement this as a built-in order status system with webhook events at each transition. The goal is to configure these transitions correctly, wire your 3PL or fulfillment system to the right webhooks, and automate side effects (confirmation emails, inventory deduction, tracking notifications) at each stage.
Custom state machine code is only needed for headless storefronts or complex multi-step B2B workflows that platforms cannot handle natively.
When to Use This Skill
- When order statuses become inconsistent (e.g., fulfilled orders showing as pending)
- When implementing automated order routing to a 3PL or fulfillment provider
- When adding order status webhooks for ERP, shipping, or returns integrations
- When building a custom headless order management system
Core Instructions
Step 1: Understand your platform's order statuses and transitions
| Platform | Order Statuses | Transition Mechanism |
|---|---|---|
| Shopify | Open → Partially Fulfilled → Fulfilled → Cancelled; Financial: Pending → Authorized → Paid → Refunded | Shopify Admin + webhooks; automated by Shopify Payments and fulfillment apps |
| WooCommerce | Pending → Processing → On Hold → Completed → Cancelled → Refunded → Failed | WooCommerce status system; transitions via admin, plugins, or wc_update_order_status() |
| BigCommerce | Pending → Awaiting Payment → Awaiting Fulfillment → Awaiting Shipment → Shipped → Completed + others | BigCommerce Admin + Orders API webhooks |
| Custom / Headless | Define your own state machine | Build with explicit transition validation |
Step 2: Configure order processing automation
Shopify
Configure payment → order confirmation flow:
- Shopify automatically moves orders from Open to Paid when Shopify Payments confirms the charge
- Go to Settings → Notifications to verify the Order confirmation email is enabled — this fires automatically on payment
- For non-Shopify payment methods, verify the gateway sends a payment success signal to Shopify; if orders stay Pending payment after payment, check your gateway settings
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/side-effects-architecture-and-failure-ha/criteria.json 2.6 KB
- evals/side-effects-architecture-and-failure-ha/task.md 1.8 KB
- evals/state-machine-and-event-sourcing/criteria.json 2.9 KB
- evals/state-machine-and-event-sourcing/task.md 1.7 KB
- evals/webhook-idempotency-and-fulfillment-trac/criteria.json 2.7 KB
- evals/webhook-idempotency-and-fulfillment-trac/task.md 1.6 KB
- tile.json 251 B
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.
- 9d ago First seen · 223 lines · 27 tokens per session scan A 9e2777a25e1d
order-processing-pipeline is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 2,638 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 2026-09-03.
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