Install
$ agentstack add skill-nexscope-ai-ecommerce-skills-brand-protection-amazon ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Brand Protection — Amazon 🛡️
Protect your brand from hijackers, counterfeits, and unauthorized sellers on Amazon.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-amazon -g
Features
- Hijacker Detection — Find unauthorized sellers on your listings
- Price Monitoring — MAP violation alerts
- Counterfeit Signals — Review-based fake detection
- Trademark Abuse — Title/keyword infringement detection
- Complaint Templates — Brand Registry, C&D letters
- Test Buy Guide — Evidence collection procedure
Detection Dimensions
| Dimension | Method | Risk Level | |-----------|--------|------------| | Hijackers | Seller count monitoring | 🔴 High | | Price Violations | Below MAP detection | 🔴 High | | Counterfeit | Review keyword analysis | 🔴 High | | Trademark | Title pattern matching | ⚠️ Medium |
Risk Levels
| Level | Description | Action | |-------|-------------|--------| | 🔴 High | Immediate threat to brand | Take action within 24h | | ⚠️ Medium | Potential concern | Monitor and investigate | | ✅ Low | Normal activity | Continue monitoring |
Input Configuration
{
"brand_name": "YourBrand",
"trademark_number": "US12345678",
"brand_registry": true,
"authorized_sellers": ["A1B2C3D4E5F6G7"],
"protected_asins": ["B08XXXXXX1"],
"min_price": 29.99
}
Usage
Hijacker Detection
python3 scripts/detector.py
Generate Complaint Templates
# Brand Registry complaint
python3 scripts/templates.py complaint
# Cease & Desist letter
python3 scripts/templates.py cease-desist
# Test buy guide
python3 scripts/templates.py testbuy
Output Example
🛡️ Brand Protection Report
Brand: YourBrand
ASINs Monitored: 5
Analysis Date: 2024-01-15
━━━━━━━━━━━━━━━━━━━━━━━━
🔴 HIGH RISK ALERTS
ASIN: B08XXXXXX1
├── 3 unauthorized sellers detected
├── Lowest price: $19.99 (MAP: $29.99)
└── Action: File Brand Registry complaint
━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ COUNTERFEIT SIGNALS
Reviews mentioning "fake": 5
Reviews mentioning "not authentic": 2
Recommendation: Order test buy
Complaint Templates Included
| Template | Use Case | |----------|----------| | Brand Registry | Report to Amazon | | Cease & Desist | Direct seller contact | | Test Buy Report | Evidence documentation | | DMCA Takedown | Copyright infringement |
Action Workflow
Monitor Listings
↓
Detect Violation
↓
Collect Evidence (Test Buy)
↓
Generate Complaint
↓
Submit to Amazon / Send C&D
↓
Track Resolution
Part of Nexscope AI — AI tools for e-commerce sellers.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: nexscope-ai
- Source: nexscope-ai/eCommerce-Skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.