Skill: wangm-a3/amazon-brand-shield (version 1.0.2)

--- name: amazon-brand-shield slug: amazon-brand-shield version: 1.0.0 description: "Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation detection, trademark abuse detection, templates for Brand Registry reporting, and evidence collection guides. No API key required." metadata: {"nexscope":{"emoji":"🛡️","category":"ecommerce"}} --- # Amazon Brand Shield 🛡️ Protect your brand from hijackers, counterfeits, and unauthorized sellers on Amazon. ## Installation ```bash 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 - **Report Templates** — Brand Registry, legal review references - **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 ```json { "brand_name": "YourBrand", "trademark_number": "US12345678", "brand_registry": true, "authorized_sellers": ["A1B2C3D4E5F6G7"], "protected_asins": ["B08XXXXXX1"], "min_price": 29.99 } ``` ## Usage ### Hijacker Detection ```bash python3 scripts/detector.py ``` ### Generate Report Templates ```bash # Brand Registry report python3 scripts/templates.py report # 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 report ━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ COUNTERFEIT SIGNALS Reviews mentioning "fake": 5 Reviews mentioning "not authentic": 2 Recommendation: Consider test purchase (requires explicit user approval) ``` ## Report 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 for review (requires explicit approval) ↓ Track Resolution ``` --- **Part of [Nexscope AI](https://www.nexscope.ai/) — AI tools for e-commerce sellers.**


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal:  | SkillSpector:  ()