Brand Protection Amazon
Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, comp...
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 50 · 0 current installs · 0 all-time installs
byHenk Nie@phheng
MIT-0
Security Scan
OpenClaw
Benign
medium confidencePurpose & 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.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
Current versionv0.1.0
Download ziplatest
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
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.
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