returns-reverse-logistics

Compute RMA eligibility, condition grades, disposition recommendations, refund handling, and fraud scores.

1|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/xxih/ai-harness-zh --skill returns-reverse-logistics-xxih
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: returns-reverse-logistics
Source: https://github.com/xxih/ai-harness-zh/tree/main/references/translations/everything-claude-code/docs/zh-CN/skills/returns-reverse-logistics
Command: npx skills add https://github.com/xxih/ai-harness-zh --skill returns-reverse-logistics-xxih

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standardizes and operationalizes the full returns lifecycle to reduce refund leakage, speed handling, and balance customer experience with profit protection by providing clear RMA eligibility checks, condition grading, disposition economics, fraud scoring, and supplier recovery guidance.

Core Features & Use Cases

  • RMA Qualification & Policy Evaluation: Evaluate return requests against windows, receipts, channel rules, and exceptions to determine eligibility and required evidence.
  • Inspection, Grading & Disposition Planning: Provide condition grading (A–D), recommend re‑stock, refurbish, clearout, donate, or destroy decisions based on cost and recovery rates.
  • Fraud Detection & Scoring: Compute a fraud score from behavioral and transactional signals and suggest escalation thresholds and holds before refunds.
  • Supplier Recovery & Warranty Guidance: Recommend RTV claim actions, defect evidence requirements, and when to escalate supplier deductions versus write-offs.
  • Communication Templates & Escalation Rules: Offer customer-facing response templates, approval matrices, and automated upgrade triggers for high-value or risky returns.

Quick Start

Use the returns-reverse-logistics skill to analyze an order and returned item and produce RMA eligibility, a condition grade, a recommended disposition with economic rationale, a refund recommendation, and a fraud score.

Frequently Asked Questions about returns-reverse-logistics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I determine RMA eligibility for e-commerce returns?

To determine RMA eligibility, evaluate return requests against policy windows, receipts, and channel rules. This skill standardizes the qualification process by checking required evidence and exceptions to authorize returns accurately.

What is the best way to grade returned item conditions and plan disposition?

The best way to grade returns is assigning condition levels from A to D, then recommending restock, refurbish, clearout, donate, or destroy dispositions. This ensures disposition planning balances handling costs against recovery rates.

How does fraud detection work for reverse logistics and refund processing?

Fraud detection for reverse logistics works by computing a fraud score from behavioral and transactional signals. It suggests escalation thresholds and holds before refunds are issued to protect against return fraud leakage.

How do I manage supplier recovery and warranty claims for defective returns?

Manage supplier recovery by recommending Return to Vendor (RTV) claim actions and defining defect evidence requirements. This skill guides when to escalate supplier deductions versus processing write-offs for warranty claims.

What data do I need to automate omnichannel reverse logistics workflows?

To automate reverse logistics workflows, you need order and return details, item category, condition, and transaction history. Providing optional SKU-level defect records further enables accurate disposition recommendations and supplier claim eligibility.