ecommerce.amazon-market-research SKILL.md skillA

ecommerce.amazon-market-research 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.amazon-market-research@git:20261009.1aae8f1

Pins 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-market-research/SKILL.md
Versions recorded
3
Latest version
git:20261009.1aae8f1, committed Oct 9, 2026
First version recorded
Aug 28, 2026
Size
6,661 bytes
Repository stars
96
License
none declared

Use Nexscope market list capability to filter Amazon niche markets by category dimensions, supporting market size, competition, top concentration, seller structure, new product share, price/rating/margin ranges, and many other criteria for discovering viable markets and evaluating product selection directions. Trigger when the user mentions Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection…

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 Market Research

This skill helps screen and rank Amazon category markets using Nexscope market-research data.

## Core Concepts

- **Category market-level analysis**: Not a product-level list, but market profiles aggregated by category/node.
- **Market size**: Monthly average sales volume, monthly average revenue, product count, etc.
- **Competition structure**: Seller/brand concentration, top concentration, Amazon self-operated share, FBA/FBM share.
- **Input scale**: Filter parameters **GoodsCrn / BrandCrn / SellerCrn / EbcProportion / FbaProportion / FbmProportion / AmazonSelfProportion** (`min*`/`max*`) must be **0~1 decimal values**, see the parameter table below and `references/api.md`.
- **New product opportunities**: New product count, new product share, new product average price/rating/sales, etc.

## How to Invoke

- **API Endpoint**: `POST /sellersprite/market/research` (complete params/response/error codes in `references/api.md`)
- **Python Script**: `python scripts/amazon_market_research.py '<JSON params>' [--inline]`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-market-research@sha256:c65d4c421dab0b43

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2kozzqn6uhue6hd7.svg)](https://markdownregistry.com/a/art_2kozzqn6uhue6hd7)

2 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.

versioncommittedcommitsizeaudit
git:20261009.1aae8f1 latest2026-10-09 1aae8f1 6,661 BA view · diff
git:20260917.c57e9172026-09-17 c57e917 6,681 BA view · diff
git:20260828.7fb46862026-08-28 7fb4686 6,685 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 (6661 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_2kozzqn6uhue6hd7
GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-market-research
GET https://markdownregistry.com/api/v1/blob/c65d4c421dab0b43213d8dbd6533cf1222cacc378f0c4440a3f7ab8ab9e6b94a

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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