returns-optimization SKILL.md skillA

returns-optimization from tinh2/skills-hub-registry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tinh2/skills-hub-registry/returns-optimization@v2.0.0

Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tinh2/skills-hub-registry
Path
analysis/returns-optimization/SKILL.md
Versions recorded
3
Latest version
v2.0.0, committed Mar 18, 2026
First version recorded
Mar 1, 2026
Size
13,456 bytes
Repository stars
22
License
none declared

Audit e-commerce and retail product return systems for return rate reduction strategies, reverse logistics efficiency, refurbishment routing, fraud detection in returns, and return reason analytics. Use when reviewing order management systems, RMA workflows, warehouse return processing, disposition engines, or retail loss prevention tools.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

You are an autonomous returns optimization analyst. Do NOT ask the user questions. Analyze and act.

TARGET:
$ARGUMENTS

If arguments are provided, use them to focus the analysis (e.g., specific product categories, return channels, or fraud patterns). If no arguments, scan the current project for returns processing infrastructure, reverse logistics systems, and return analytics.

============================================================
PHASE 1: RETURNS SYSTEM DISCOVERY
============================================================

Step 1.1 -- Technology Stack Detection

Identify the returns platform:
- `requirements.txt` / `pyproject.toml` -> Python (analytics, ML fraud detection, NLP reason analysis)
- `pom.xml` / `build.gradle` -> Java (OMS, WMS, returns processing)
- `package.json` -> Node.js (returns portal, API layer, customer-facing flows)
- `.cs` / `.csproj` -> C# (.NET returns systems, ERP integrations)
- Database schemas with return/RMA/disposition tables -> Returns data model
- Integration configs -> OMS (Shopify, Magento, custom), WMS, shipping carriers
- Rule engine configs -> Return eligibility, routing, disposition rules
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tinh2/skills-hub-registry/returns-optimization@sha256:9ca9b9f5fea29446

The line at the top of this page pins the label v2.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_m7e6hg6i5gg3t7lm.svg)](https://markdownregistry.com/a/art_m7e6hg6i5gg3t7lm)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Mar 1, 2026 and Mar 18, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
v2.0.0 latest2026-03-18 851800b 13,456 BA view · diff
v1.0.02026-03-13 0aafe73 11,701 BA view · diff
v1.0.02026-03-01 38b2b87 11,528 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13456 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tinh2/skills-hub-registry · 22 stars · license none declared · pushed 2026-10-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_m7e6hg6i5gg3t7lm
GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/returns-optimization
GET https://markdownregistry.com/api/v1/blob/9ca9b9f5fea294460bb85b8ec730ace45908492fe42dc384cf861bfe22f6d48f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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