← Back to Skills Marketplace
163
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install ecommerce-brand-monitoring
Description
Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes...
README (SKILL.md)
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 |
|---|---|---|
| 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 | \x3C 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.
Usage Guidance
This package appears to be a local/demo brand-monitoring tool and is internally consistent with its description: it does not request secrets and the network requests in scrapers.py are currently disabled or only prepared. Before installing or running: 1) review the omitted portion of monitor.py (the file was truncated in the bundle) to confirm there are no hidden network calls or data exfiltration paths; 2) if you plan to enable production scraping, be aware that uncommenting or adding live HTTP requests will cause network traffic to third-party sites and may require API keys and compliance with those services' terms; 3) avoid running any npx installation command referenced in SKILL.md unless you trust the external package source (that command would fetch code not included in this bundle); and 4) consider running the scripts in a sandboxed environment first to observe network behavior and outputs.
Capability Analysis
Type: OpenClaw Skill
Name: ecommerce-brand-monitoring
Version: 0.1.0
The skill bundle is a functional template and demonstration tool for brand monitoring and sentiment analysis. The core logic in `scripts/monitor.py` uses keyword-based analysis to categorize mentions, while `scripts/scrapers.py` contains placeholder classes for various platforms (Reddit, Google News, etc.) with actual network requests currently commented out. No malicious code, data exfiltration, or prompt injection attempts were found; the tool operates primarily on hardcoded demo data.
Capability Assessment
Purpose & Capability
Name/description (brand monitoring across Reddit, Google News, YouTube, DuckDuckGo) match the provided code: scrapers.py implements scrapers for those services and monitor.py contains analysis/demo logic. Minor note: SKILL.md suggests an npx install from an external nexscope-ai package, but the bundle contains the Python scripts needed to run locally — this is coherent but could be confusing.
Instruction Scope
SKILL.md instructs running scripts/monitor.py with brand parameters. The code operates in demo/simulated mode (get_demo_mentions) and the network call sections in scrapers.py are commented out or only prepare requests without performing urlopen. There are no instructions to read unrelated system files or environment variables. Caveat: monitor.py was truncated in the provided content, so I cannot confirm the omitted sections contain no unexpected behavior.
Install Mechanism
The skill has no install spec (instruction-only), so nothing will be written to disk by an installer. However, SKILL.md includes an npx command that would fetch a package from an external registry if a user chose to run it — that external install is not part of the provided bundle and should be treated separately.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The functionality shown (demo scraping and local analysis) does not require credentials in its current form. Comments indicate production use might require API keys for services like Twitter/YouTube; those are not requested here.
Persistence & Privilege
The skill is not always-enabled and uses normal, user-invoked CLI behavior. It does not attempt to modify other skills or system-wide settings in the provided files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ecommerce-brand-monitoring - After installation, invoke the skill by name or use
/ecommerce-brand-monitoring - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Brand monitoring skill initial release.
- Track brand mentions across Reddit, Google News, YouTube, and DuckDuckGo.
- Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison.
- Provides keyword extraction, weekly/monthly reports, and share of voice analysis.
- No API key required for basic monitoring.
- Outputs easy-to-read reports and alert recommendations.
Metadata
Frequently Asked Questions
What is Brand Monitoring?
Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes... It is an AI Agent Skill for Claude Code / OpenClaw, with 163 downloads so far.
How do I install Brand Monitoring?
Run "/install ecommerce-brand-monitoring" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Brand Monitoring free?
Yes, Brand Monitoring is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Brand Monitoring support?
Brand Monitoring is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Brand Monitoring?
It is built and maintained by Henk Nie (@phheng); the current version is v0.1.0.
More Skills