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Brand Protection Amazon

Name: Brand Protection Amazon
Author: phheng

作者 Henk Nie · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ✓ 安全检测通过

171

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当前安装

版本数

在 OpenClaw 中安装

/install brand-protection-amazon

功能描述

Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, comp...

使用说明 (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.

安全使用建议

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.

功能分析

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.

能力评估

✓ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install brand-protection-amazon
安装完成后，直接呼叫该 Skill 的名称或使用 /brand-protection-amazon 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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.

元数据

Slug brand-protection-amazon

版本 0.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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