ecommerce.amazon-keyword-search-history SKILL.md skillA

ecommerce.amazon-keyword-search-history 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-keyword-search-history@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-keyword-search-history/SKILL.md
Versions recorded
3
Latest version
git:20261009.1aae8f1, committed Oct 9, 2026
First version recorded
Aug 28, 2026
Size
8,916 bytes
Repository stars
96
License
none declared

Nexscope keyword historical search volume query, returning Amazon keyword exact search volume trends in 7-day periods, covering 10 marketplaces including US, UK, DE, JP, etc. Trigger when the user mentions keyword search volume trends, historical search volume, search popularity changes, keyword seasonality, search volume fluctuations, Nexscope search volume, keyword search volume history, keyword trend, search volume over time, seasonal search volume, keyword popularity trend. Even if the…

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 -- Keyword Historical Search Volume

This skill queries the historical exact search volume for Amazon keywords via the Nexscope data source, returning weekly search volume data points over a specified date range across 10 Amazon marketplaces.

## Core Concepts

The Nexscope Keyword Historical Search Volume tool provides **weekly granularity exact match search volume** historical data for Amazon marketplace keywords. Sellers can query search volume changes within a specified time range to determine:

- **Seasonal patterns**: Which months are peak/off-season for a keyword
- **Trend direction**: Whether search volume is consistently rising, falling, or stable
- **Volatility**: Assess the stability of market demand
- **Holiday effects**: Search volume spikes around major promotions and holidays

**Data granularity**: Each record represents a **7-day period**, including the exact match search volume estimate for that week.

## Data Fields

### Output Fields

| Field | API Name | Description | Example |
|-------|----------|-------------|---------|
| Period ID | id | Data period identifier (marketplace/keyword/date range) | us_sushi_20250105_20250111 |
…

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-keyword-search-history@sha256:3d8f5dc0ce3af1ea

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_u5szwwezngwt7c7y.svg)](https://markdownregistry.com/a/art_u5szwwezngwt7c7y)

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 8,916 BA view · diff
git:20260917.c57e9172026-09-17 c57e917 8,935 BA view · diff
git:20260828.7fb46862026-08-28 7fb4686 8,939 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 (8916 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_u5szwwezngwt7c7y
GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/nexscope-ecommerce-skills/ecommerce.amazon-keyword-search-history
GET https://markdownregistry.com/api/v1/blob/3d8f5dc0ce3af1ea9f0c3896abb1aeaff31739a55f8b1176669927d7ba5b0367

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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