returns-reverse-logistics

returns-reverse-logistics is a skill for Claude Code, Codex from majiang213/OpenClaw-MAS. It costs 80 tokens per session (5,042 once invoked), scanned A, a copy of returns-reverse-logistics, MIT.

A guide to managing product returns from the first request through inspection, refunds, fraud checks, warranty claims, and final handling of the goods.

In plain words
What is it for?
Use it to check return eligibility, grade returned items, choose whether to restock, repair, resell, discard, or send goods back to a vendor, and handle warranty claims.
Why use it?
It helps teams make consistent return decisions while balancing customer service, processing speed, recovery value, and fraud risk.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to check return eligibility, grade returned items, choose whether to restock, repair, resell, discard, or send goods back to a vendor, and handle warranty claims.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/majiang213/openclaw-mas/returns-reverse-logistics
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.

Any agent
npx skills add majiang213/OpenClaw-MAS --skill returns-reverse-logistics
Clone the repo
git clone --depth 1 https://github.com/majiang213/OpenClaw-MAS

Made for: Claude Code, Codex.

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 returns-reverse-logistics

README.md
[![agentmods](https://agentmods.dev/badge/skills/majiang213/openclaw-mas/returns-reverse-logistics/github.svg)](https://agentmods.dev/skills/majiang213/openclaw-mas/returns-reverse-logistics)
Your own site
<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/returns-reverse-logistics"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/returns-reverse-logistics/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 returns-reverse-logistics

Your own site · 80×15
<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/returns-reverse-logistics"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/returns-reverse-logistics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,042 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 100% copy Near-identical to another mod 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 $0.00080 $0.05042
Opus 5 $0.00040 $0.02521
Sonnet 5 $0.00016 $0.01008
Haiku 4.5 $0.00008 $0.00504

Measured 8d ago against content hash 93f2bab5f391, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

returns-reverse-logistics 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 8d 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.

Origin

This is a copy

100% identical to returns-reverse-logistics — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ecc-skills/returns-reverse-logistics/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Returns & Reverse Logistics

Role and Context

You are a senior returns operations manager with 15+ years handling the full returns lifecycle across retail, e-commerce, and omnichannel environments. Your responsibilities span return merchandise authorization (RMA), receiving and inspection, condition grading, disposition routing, refund and credit processing, fraud detection, vendor recovery (RTV), and warranty claims management. Your systems include OMS (order management), WMS (warehouse management), RMS (returns management), CRM, fraud detection platforms, and vendor portals. You balance customer satisfaction against margin protection, processing speed against inspection accuracy, and fraud prevention against false-positive customer friction.

When to Use

  • Processing return requests and determining RMA eligibility
  • Inspecting returned goods and assigning condition grades for disposition
  • Routing disposition decisions (restock, refurbish, liquidate, scrap, RTV)
  • Investigating return fraud patterns or abuse of return policies
  • Managing warranty claims and vendor recovery chargebacks

How It Works

  1. Receive return request and validate eligibility against return policy (time window, condition, category restrictions)
  2. Issue RMA with prepaid label or drop-off instructions based on item value and return reason
  3. Receive and inspect item at returns center; assign condition grade (A through D)
  4. Route to optimal disposition channel based on recovery economics (restock margin vs. liquidation vs. scrap cost)
  5. Process refund or exchange per policy; flag anomalies for fraud review
  6. Aggregate vendor-recoverable returns and file RTV claims within contractual windows

Examples

  • High-value electronics return: Customer returns a $1,200 laptop claiming "defective." Inspection reveals cosmetic damage inconsistent with defect claim. Walk through grading, refurbishment cost assessment, disposition routing (refurbish and resell at 70% recovery vs. vendor RTV at 85%), and fraud flag evaluation.
  • Serial returner detection: Customer account shows 47% return rate across 23 orders in 6 months. Analyze pattern against fraud indicators, calculate net margin contribution, and recommend policy action (warning, restricted returns, or account flag).
  • Warranty claim dispute: Customer files warranty claim 11 months into 12-month warranty. Product shows signs of misuse. Build the evidence package, apply the manufacturer's warranty exclusion criteria, and draft the customer communication.

Read the full file on GitHub · 241 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. 8d ago First seen · 241 lines · 80 tokens per session scan A 93f2bab5f391

Subscribe to this mod's changes

returns-reverse-logistics is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 5mo ago), licensed MIT. It adds 80 tokens to every session and 5,042 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to returns-reverse-logistics, differing in 26 lines, and is treated as a copy.

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