ecommerce.amazon-product-database SKILL.md skillA
ecommerce.amazon-product-database 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@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/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261009.1aae8f1, committed Oct 9, 2026
- First version recorded
- Aug 28, 2026
- Size
- 10,947 bytes
- Repository stars
- 96
- License
- none declared
Nexscope Product Database multi-condition filtering. Filter Amazon products by category, price, sales volume, revenue, reviews, rating, weight, BSR rank, LQS, seller type, and more across 10 marketplaces. Trigger when users mention Amazon product selection, product database filtering, BSR rank filtering, category-based product discovery, high-rating low-competition products, FBA product search, Amazon product discovery, or similar terms. Even if the user does not explicitly mention "Nexscope…
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 Database Query This skill queries the Nexscope Product Database via the Nexscope tool gateway, enabling multi-condition filtering of Amazon products across 10 marketplaces. Sellers can discover products by category, price range, sales volume, revenue, reviews, rating, BSR rank, Listing Quality Score (LQS), seller type, and more. ## Core Concepts The Nexscope Product Database is a multi-dimensional filtering tool at the Amazon product level, helping sellers quickly identify target products from a vast catalog: - **Category-Based Discovery**: Filter products by Amazon main categories - **Sales/Revenue Filtering**: Narrow down products by monthly sales volume and revenue ranges - **Competition Assessment**: Evaluate competition intensity through review counts, ratings, and seller counts - **Listing Quality Assessment**: LQS (Listing Quality Score, 1-10) helps spot products with optimization potential - **Product Type Filtering**: Distinguish FBA/FBM/AMZ seller types, standard/oversize product tiers - **New Product Discovery**: Filter by listing date to find recently launched products …
Read the whole file at its exact version.
How to install
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-product-database@sha256:8ef84c2017bbbecaThe 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_enatugwtvmp273hy)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Aug 28, 2026 and Oct 9, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261009.1aae8f1 latest | 2026-10-09 | 1aae8f1 | 10,947 B | A | view · diff |
| git:20260917.c57e917 | 2026-09-17 | c57e917 | 10,971 B | A | view · diff |
| git:20260914.fe7ea5b | 2026-09-14 | fe7ea5b | 10,977 B | A | view · diff |
| git:20260828.7fb4686 | 2026-08-28 | 7fb4686 | 10,977 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 (10947 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_enatugwtvmp273hy GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-product-database GET https://markdownregistry.com/api/v1/blob/8ef84c2017bbbeca82878e11c54100bba8dd4513abed6ba363e7910e269a4949
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.