Brand monitoring

Skill nexscope-ai/eCommerce-Skills/brand-monitoring

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.From its SKILL.md

Install

npx -y skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring

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runs commandsInstructs the agent to run 4 commands, including `npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -g` and 3 more.

SKILL.md

3.9 KB, 871 tokens by cl100k_base, as published. Nobody here has run it

Brand Monitoring 📡

Track brand mentions across social media platforms and analyze sentiment.

Installation

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
Competitors	Share of voice	Comparison chart

Usage

Basic Monitoring

python3 scripts/monitor.py "YourBrand"

With Competitors

python3 scripts/monitor.py '{
  "brand": "YourBrand",
  "competitors": ["CompA", "CompB"],
  "platforms": ["reddit", "google_news"]
}'

Demo Mode

python3 scripts/monitor.py --demo

Output Example

📡 Brand Monitoring Report

Brand: YourBrand
Period: Last 7 days
Platforms: Reddit, Google News, YouTube

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 MENTION OVERVIEW

Total Mentions: 127
├── Reddit: 82 (65%)
├── Google News: 35 (28%)
└── YouTube: 10 (8%)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

😊 SENTIMENT ANALYSIS

Positive: 45% ████████░░
Neutral:  38% ███████░░░
Negative: 17% ███░░░░░░░

Overall Score: 7.2/10 ✅

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📈 TREND (7 days)

Mon ████████ 25
Tue ██████ 18
Wed ███████ 21
Thu █████████ 28
Fri ████████ 22
Sat ███ 8
Sun ██ 5

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔥 TRENDING KEYWORDS

1. quality (32x)
2. shipping (28x)
3. customer service (22x)
4. price (18x)
5. recommended (15x)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

⚠️ ALERTS

🔴 Negative spike on Thursday (+40%)
   Related to: shipping delays
   Recommendation: Monitor and respond

Crisis Detection

Alert Level	Trigger	Action
🟢 Normal	< 20% negative	Continue monitoring
🟡 Warning	20-40% negative	Investigate sources
🔴 Crisis	> 40% negative	Immediate response needed

Monitoring Workflow

Set up brand keywords
      ↓
Monitor platforms
      ↓
Analyze sentiment
      ↓
Detect anomalies
      ↓
Generate alerts
      ↓
Weekly report

Part of Nexscope AI — AI tools for e-commerce sellers.

What ships with it: 2 files

30.3 KB alongside SKILL.md, 2 of them executable

scripts/

monitor.pyruns22.4 KB
scrapers.pyruns7.9 KB

Gives 0 of the 12 instructions most marketing audience skills give in 871 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

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Use RGB values for precise color matchingin 38 of 690, across 3 files
Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
Use active voice instead of passive voicein 26 of 690, across 10 files
Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

set up brand keywords
monitor platforms
analyze sentiment
detect anomalies
generate alerts
investigate sources during warning level

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.