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Amazon Brand Shield

Name: Amazon Brand Shield
Author: wangm-a3

作者 WangM-A3 · GitHub ↗ · v1.0.3 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install amazon-brand-shield

功能描述

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

使用说明 (SKILL.md)

Amazon Brand Shield 🛡️

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
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

{
  "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 Report Templates

# 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 — AI tools for e-commerce sellers.

安全使用建议

This skill looks suitable as a local brand-protection and template generator. Before installing, verify the remote install command and metadata mismatch, and make sure the agent never completes purchases, sends cease-and-desist messages, or submits Brand Registry complaints without your explicit review and approval.

功能分析

Type: OpenClaw Skill Name: amazon-brand-shield Version: 1.0.3 The Amazon Brand Shield skill bundle is a legitimate toolkit designed for e-commerce brand protection. The core logic in `scripts/detector.py` and `scripts/templates.py` focuses on analyzing listing data for hijackers, MAP violations, and counterfeit signals using rule-based keyword matching and generating legal templates. The code operates entirely on local data structures, contains no network or file system access, and includes explicit instructions in `SKILL.md` for the agent to seek user approval before taking significant actions.

能力标签

cryptocan-make-purchasesrequires-sensitive-credentials

能力评估

ℹ Purpose & Capability

The detection and template features are coherent with Amazon brand protection, but the workflow can lead to high-impact actions such as test purchases, Brand Registry complaints, and cease-and-desist communications.

ℹ Instruction Scope

The main workflow states that test purchases and Amazon submissions require explicit approval; users should preserve that boundary before spending money or submitting reports.

ℹ Install Mechanism

There is no install spec, but SKILL.md includes a user-run global npx install command pointing to a different skill/repository name; registry, SKILL.md, and _meta.json version/slug details are not fully aligned.

✓ Credentials

The visible scripts are local Python utilities/templates with no declared environment variables, credentials, or install-time execution, and the static scan reported no suspicious patterns.

ℹ Persistence & Privilege

No persistence or credential storage is shown, but following the templates involves Amazon Brand Registry account authority and brand/legal information.

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 amazon-brand-shield
安装完成后，直接呼叫该 Skill 的名称或使用 /amazon-brand-shield 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

v1.0.2

Brand update

v1.0.3

Brand update

v1.0.1

Fix: clarify all actions require user approval, soften legal language

v1.0.0

Initial release: Amazon brand protection and anti-counterfeiting agent

元数据

Slug amazon-brand-shield

版本 1.0.3

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 4

常见问题