Home / nexscope-ai / ecommerce-skills · GitHub

brand-monitoring SKILL.md skillA

brand-monitoring from nexscope-ai/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/ecommerce-skills/brand-monitoring@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: nexscope-ai/ecommerce-skills
Path: brand-monitoring/SKILL.md
Versions recorded: 2
Latest version: v1.0.0, committed Apr 9, 2026
First version recorded: Mar 20, 2026
Size: 3,973 bytes
Repository stars: 1,305
License: MIT

Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.

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

# Brand Monitoring 📡

Track brand mentions across social media platforms and analyze sentiment.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -g
```

## Features

- **Mention Monitoring** — Track brand mentions across platforms
- **Sentiment Analysis** — Positive/negative/neutral classification
- **Trend Tracking** — Monitor mention volume changes
- **Crisis Detection** — Alerts for negative spikes or crisis keywords
- **Competitor Comparison** — Share of voice analysis
- **Keyword Extraction** — Identify trending topics
- **Report Generation** — Weekly/monthly reports

## Supported Platforms

| Platform | Method | Stability |
|----------|--------|-----------|
| Reddit | Public JSON API | ⚠️ Rate limited |
| Google News | RSS Feed | ✅ Stable |
| DuckDuckGo | Instant Answer API | ✅ Stable |
| YouTube | HTML/RSS | ⚠️ Unstable |

## Analysis Dimensions

| Dimension | Method | Output |
|-----------|--------|--------|
| Volume | Mention count | Trend graph |
| Sentiment | NLP analysis | Sentiment score |
| Sources | Platform breakdown | Source distribution |
| Keywords | Topic extraction | Word cloud |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add nexscope-ai/ecommerce-skills/brand-monitoring@sha256:8143cd6d7f48dd3f

The line at the top of this page pins the label v1.0.0, 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](https://markdownregistry.com/badge/art_kenzkeo3e4tph7sf.svg)](https://markdownregistry.com/a/art_kenzkeo3e4tph7sf)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 20, 2026 and Apr 9, 2026, about one every 20 days.

version	committed	commit	size	audit
v1.0.0 latest	2026-04-09	0419aee	3,973 B	A	view · diff
v1.0.0	2026-03-20	5f53342	3,959 B	A	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 (3973 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/ecommerce-skills · 1,305 stars · license MIT · pushed 2026-08-26 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kenzkeo3e4tph7sf
GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/ecommerce-skills/brand-monitoring
GET https://markdownregistry.com/api/v1/blob/8143cd6d7f48dd3f7ae5f593f95401a81d8ec6333e37bf7a806e00b1a8fd1542

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.

More from nexscope-ai/ecommerce-skills

affiliate-marketing-strategy SKILL.md skill

nexscope-ai/ecommerce-skills · affiliate-marketing-strategy/SKILL.md

git:20260409.0419aee · audit C · 1,305 stars

api-monitoring SKILL.md skill

nexscope-ai/ecommerce-skills · api-monitoring/SKILL.md

git:20260409.0419aee · audit C · 1,305 stars

brand-protection-amazon SKILL.md skill

nexscope-ai/ecommerce-skills · brand-protection/brand-protection-amazon/SKILL.md · Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation…