You are helping me build the following AI agent workflow.

## Goal
Notify Slack On Refund: Monitors WooCommerce for refunded orders over 100 and posts an alert to your Slack channel.

## Specification
- What it does: Monitors WooCommerce for order status updates specifically when an order is refunded. It checks if the refund amount exceeds a set threshold (e.g., over 100). If the condition is met, it automatically posts a notification to a designated Slack channel.
- Trigger: Triggered by an event (Event · on order refund)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - WooCommerce: Detecting refunded orders
  - Slack: Posting notifications to channel

## Known pitfalls, handle each one explicitly in your implementation
1. Currency mismatches between WooCommerce and your code can lead to incorrect threshold comparisons so always normalize amounts to cents or a consistent decimal format before comparing.

## Reference implementation
https://n8n.io/workflows/1460 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/notify-slack-on-refund/ via usecasesforagents.com