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phheng

Brand Protection Amazon

by Henk Nie · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install brand-protection-amazon
Description
Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, comp...
README (SKILL.md)

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.

Usage Guidance
This skill appears coherent for Amazon brand protection: it runs local Python scripts to analyze listing data and produce complaint templates and does not declare credentials or install remote code. Before running: 1) review the full contents of scripts/detector.py and scripts/templates.py (especially the truncated parts) to confirm they do not perform network calls, shell execution, or read unexpected system files; 2) provide listing data (ASINs, seller info, reviews) only from trusted sources and avoid supplying real credentials; 3) run the scripts first in an isolated environment (e.g., VM or container) and monitor outbound network traffic; 4) remember the templates and workflows have legal implications—ensure you have proper authorization and evidence before filing complaints or sending legal notices.
Capability Analysis
Type: OpenClaw Skill Name: brand-protection-amazon Version: 0.1.0 The brand-protection-amazon skill bundle is a legitimate toolkit designed to help e-commerce sellers monitor their listings for unauthorized activity. The Python scripts (detector.py and templates.py) contain logic for identifying brand hijackers, price violations, and counterfeit signals based on provided data structures, as well as generating legal and administrative templates. There is no evidence of data exfiltration, unauthorized network access, or malicious intent; the code operates entirely on local data and standard library functions.
Capability Assessment
Purpose & Capability
Name/description match the provided artifacts: detector logic and complaint/template generators align with hijacker detection, MAP monitoring, counterfeit signals, and complaint generation. No unrelated environment variables, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs running local Python scripts (detector.py, templates.py) and provides an input JSON shape. The visible code implements detection heuristics and generates templates and does not reference external endpoints or secrets. However the detector.py file was truncated in the provided listing, so I cannot completely rule out additional behavior (network calls, reading other system files) in the unseen portion.
Install Mechanism
No install spec; skill is instruction-only and includes local Python scripts. This is lower-risk than fetching remote binaries. The one-line npx install instruction in SKILL.md references a package manager command but the repository includes the actual scripts so nothing appears to be downloaded at runtime by the skill itself.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The included code (visible portions) does not attempt to read credentials. This is proportional for a local analysis and template-generation tool.
Persistence & Privilege
Skill metadata does not request always:true and default autonomous invocation is allowed (platform default). There is no indication the skill modifies other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install brand-protection-amazon
  3. After installation, invoke the skill by name or use /brand-protection-amazon
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: Amazon brand protection toolkit with detection, monitoring, and actionable templates. - Detects hijackers, MAP violations, counterfeits, and trademark abuse. - Provides complaint and cease & desist templates for Brand Registry actions. - Includes a risk-based system and guides for evidence collection. - No API key required; works via scripts and manual configuration. - Output includes actionable reports and recommendations.
Metadata
Slug brand-protection-amazon
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Brand Protection Amazon?

Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, comp... It is an AI Agent Skill for Claude Code / OpenClaw, with 171 downloads so far.

How do I install Brand Protection Amazon?

Run "/install brand-protection-amazon" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Brand Protection Amazon free?

Yes, Brand Protection Amazon is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Brand Protection Amazon support?

Brand Protection Amazon is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Brand Protection Amazon?

It is built and maintained by Henk Nie (@phheng); the current version is v0.1.0.

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