Brand Protection Amazon Agent Skill

Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, complaint templates for Brand Registry, and test buy evidence collection guides. No API key required.

10k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

570

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill brand-protection-amazon

What comes with it

37 864 bytes besides the instruction

scripts/detector.py

scripts/templates.py

The instruction itself

12 sections, as written by the author

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.

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How to use it

Copy the folder

Take nexscope-ai/brand-protection-amazon from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.