shopify-admin-partial-refund-pattern-detector

What problem does it solve?

It helps Shopify merchants identify suspicious refund behavior by surfacing orders with multiple partial refunds or unusually high partial-refund-to-total ratios that may indicate fraud, repeat customer dissatisfaction, or a refund process gap.

Core Features & Use Cases

• Flags multi-refund and high-ratio orders: Marks orders with at least a configurable minimum number of partial refunds and/or where refunded amount to order total exceeds a configurable ratio while excluding fully refunded cases.
• Groups repeat-offender customers: Aggregates flagged results by customer to highlight customers with multiple flagged orders in the lookback window for deeper review.
• Provides auditable outputs and guidance: Produces a CSV report including refund counts, ratios, and refund timestamps, while clearly stating that results are advisory (read-only, no mutations).

Quick Start

Use the shopify-admin-partial-refund-pattern-detector skill to analyze the last 90 days of partially refunded orders and output a human-readable report to partial_refund_patterns_<date>.csv for manual review.