ecommerce.1688-search-by-image SKILL.md skillA

ecommerce.1688-search-by-image from nexscope-ai/nexscope-ecommerce-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.1688-search-by-image@git:20260929.56e55c3

Pins git:20260929.56e55c3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nexscope-ai/nexscope-ecommerce-skills
Path
ecommerce-1688-search-by-image/SKILL.md
Versions recorded
3
Latest version
git:20260929.56e55c3, committed Sep 29, 2026
First version recorded
Aug 28, 2026
Size
9,901 bytes
Repository stars
96
License
none declared

Perform image-based product search on the 1688 platform. Use an image URL to find visually similar supplier products, returning title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity. Triggered when users mention 1688 image search, 1688 visual search, find supplier by image, reverse image search 1688, 1688 product sourcing by image, or Alibaba 1688 image search. Even if the user does not explicitly mention "image search," this skill should be…

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

# 1688 Image-Based Product Search

This skill performs visual product searches on the 1688 platform using an image URL, helping cross-border sellers find visually similar supplier products for sourcing.

## Core Concepts

1688 Image Search uses visual recognition to find products with similar appearance on the 1688 wholesale marketplace. It returns supplier product data including title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity badges.

## Data Fields

| Field | Description |
|-------|-------------|
| offerId | Product ID on 1688 |
| title | Product title |
| imageUrl | Product main image |
| price | Wholesale price (CNY) |
| consignPrice | Dropship price (CNY) |
| salesQuantity | Monthly sales volume |
| estimatedSalesAmount | Estimated monthly revenue |
| quantityBegin | Minimum order quantity |
| repurchaseRate | Repurchase rate |
| tradeScore | Product trade score |
| compositeServiceScore | Composite service experience score |
| sellerIdentities | Seller identity (Super Factory / Verified Supplier / TrustPass member) |
| offerIdentities | Product badge (Premium Selection) |
| sendGoodsAddressText | Shipping origin |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.1688-search-by-image@sha256:4b73d991eca4e64d

The line at the top of this page pins the label git:20260929.56e55c3, 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_myobyzjjn4eeuxpn.svg)](https://markdownregistry.com/a/art_myobyzjjn4eeuxpn)

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

Versions

The registry has recorded 3 versions of this file, between Aug 28, 2026 and Sep 29, 2026, about one every 16 days.

versioncommittedcommitsizeaudit
git:20260929.56e55c3 latest2026-09-29 56e55c3 9,901 BA view · diff
git:20260917.c57e9172026-09-17 c57e917 9,909 BA view · diff
git:20260828.7fb46862026-08-28 7fb4686 9,913 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 (9901 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

nexscope-ai/nexscope-ecommerce-skills · 96 stars · license none declared · pushed 2026-10-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_myobyzjjn4eeuxpn
GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.1688-search-by-image
GET https://markdownregistry.com/api/v1/blob/4b73d991eca4e64d3d7c5c0aa014dafff3da130eaab8192a9f7bd5a095f78097

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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