ecommerce.amazon-product-price-series SKILL.md skillA

ecommerce.amazon-product-price-series 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-product-price-series@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-product-price-series/SKILL.md
Versions recorded
3
Latest version
git:20261009.1aae8f1, committed Oct 9, 2026
First version recorded
Aug 28, 2026
Size
10,190 bytes
Repository stars
96
License
none declared

Query Amazon product historical time-series data, including price trends, BSR (Best Sellers Rank) trends, rating changes, seller counts, and monthly sales, supporting any ASIN across multiple Amazon marketplaces. Triggered when users mention price history, price tracking, BSR history, BSR trends, historical pricing, price fluctuations, Nexscope data, rank history, price drop alerts, lightning deal historical prices, Buy Box price trends, coupon prices, FBA/FBM price comparison, seller count…

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 Time-Series Data Explorer

This skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.

## Core Concepts

This tool provides historical time-series data for individual Amazon products (ASINs) powered by Nexscope. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.

**Time-series format**: All data series are returned as arrays of `{time, value}` objects, where `time` is a timestamp and `value` is the metric at that point. BSR data includes a `categoryName` field along with a `points` array.

**BSR logic**: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says "BSR improved", it means the numeric value decreased; "BSR dropped" means the value increased.

## Available Data Series

| Series | Parameter | Description |
|--------|-----------|-------------|
…

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-product-price-series@sha256:0ac27ad9374ecc8b

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_vdqbppsncw5uueor.svg)](https://markdownregistry.com/a/art_vdqbppsncw5uueor)

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.

versioncommittedcommitsizeaudit
git:20261009.1aae8f1 latest2026-10-09 1aae8f1 10,190 BA view · diff
git:20260917.c57e9172026-09-17 c57e917 10,166 BA view · diff
git:20260828.7fb46862026-08-28 7fb4686 10,172 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 (10190 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_vdqbppsncw5uueor
GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-product-price-series
GET https://markdownregistry.com/api/v1/blob/0ac27ad9374ecc8bcd5411311b3d6c8523d20f0d6e384dddb0092591ded7eb18

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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