ecommerce.amazon-product-database-search SKILL.md skillA
ecommerce.amazon-product-database-search from nexscope-ai/nexscope-ecommerce-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-product-database-search@git:20261009.1aae8f1Pins git:20261009.1aae8f1 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-amazon-product-database-search/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261009.1aae8f1, committed Oct 9, 2026
- First version recorded
- Aug 28, 2026
- Size
- 14,929 bytes
- Repository stars
- 96
- License
- none declared
Advanced Amazon product search and filtering powered by Nexscope data, supporting multi-dimensional criteria including category, price, monthly sales, keywords, BSR rank, review count, rating, package dimensions, weight, fulfillment type, and more. Trigger when users mention Nexscope product selection, Amazon product search, advanced product selection, BSR filtering, sales rank filtering, keyword-based product discovery, category search, competitor screening, niche product discovery…
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
# Nexscope Product Search This skill guides you on how to search and filter Amazon products using Nexscope is extensive product database, helping Amazon sellers find products that match specific criteria across multiple dimensions. ## Core Concepts This tool provides advanced Amazon product search powered by Nexscope data. Unlike a simple Amazon storefront search, it supports multi-criteria filtering: category, price range, monthly sales volume, BSR (Best Sellers Rank), keyword matching (positive and negative), review counts, ratings, package dimensions, weight, fulfillment type, historical sales rank, and more. It returns detailed product data including pricing, titles, images, listing dates, materials, weights, monthly sales for the past 12 months, and more. **BSR (Best Sellers Rank)**: A lower `salesRank` value means better sales performance. Rank 1 is the best-selling product in its category. When a user says "top-selling products", they want low BSR values. **Price unit**: Prices are expressed in the smallest currency unit (e.g., cents for USD). So `$25.99` = `2599`. Always convert when building queries and when displaying results. …
Read the whole file at its exact version.
How to install
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-product-database-search@sha256:454f3bc9d2b7f14eThe line at the top of this page pins the label git:20261009.1aae8f1, 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.
[](https://markdownregistry.com/a/art_ah4ouo3mdcsu52xy)
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 Oct 9, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261009.1aae8f1 latest | 2026-10-09 | 1aae8f1 | 14,929 B | A | view · diff |
| git:20260917.c57e917 | 2026-09-17 | c57e917 | 14,911 B | A | view · diff |
| git:20260828.7fb4686 | 2026-08-28 | 7fb4686 | 14,915 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14929 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
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_ah4ouo3mdcsu52xy GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-product-database-search GET https://markdownregistry.com/api/v1/blob/454f3bc9d2b7f14e96f12b9cdb1f234aa2b21a4d247eefc8df87271ddce3fa45
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.