Brand protection tiktok

Skill nexscope-ai/eCommerce-Skills/brand-protection/brand-protection-tiktok

TikTok Shop brand protection toolkit. Detect unauthorized sellers, counterfeit products, and affiliate abuse. Includes TikTok IP Protection reporting, influencer misuse detection, and complaint templates. No API key required.From its SKILL.md

Install

npx -y skills add nexscope-ai/eCommerce-Skills --skill brand-protection-tiktok

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

runs commandsInstructs the agent to run 5 commands, including `npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-tiktok -g` and 4 more.

SKILL.md

3.1 KB, 677 tokens by cl100k_base, as published. Nobody here has run it

Brand Protection — TikTok Shop 🛡️

Protect your brand from unauthorized sellers and counterfeit products on TikTok Shop.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-tiktok -g

Features

Unauthorized Seller Detection — Find sellers without authorization
Price Monitoring — MAP violation alerts
Counterfeit Signals — Review-based fake detection
Affiliate Abuse — Unauthorized influencer promotion
TikTok IP Protection — Official reporting templates
Content Takedown — Video/post removal requests

TikTok-Specific Detection

Dimension	Method	Risk Level
Unauthorized Sellers	Shop monitoring	🔴 High
Price Violations	Below MAP detection	🔴 High
Counterfeit	Review/comment analysis	🔴 High
Affiliate Abuse	Creator content scan	⚠️ Medium

Risk Levels

Level	Description	Action
🔴 High	Active infringement	Report within 24h
⚠️ Medium	Potential concern	Investigate further
✅ Low	Normal activity	Continue monitoring

Input Configuration

{
  "brand_name": "YourBrand",
  "tiktok_shop_id": "your_shop_id",
  "trademark_number": "US12345678",
  "authorized_affiliates": ["creator_id_1", "creator_id_2"],
  "min_price": 29.99
}

Usage

Detection

python3 scripts/detector.py

Generate Complaint Templates

# TikTok IP Protection report
python3 scripts/templates.py ip-report

# Seller complaint
python3 scripts/templates.py seller-complaint

# Content takedown
python3 scripts/templates.py content-takedown

Output Example

🛡️ TikTok Shop Brand Protection Report

Brand: YourBrand
Shops Monitored: 5
Analysis Date: 2024-01-15

━━━━━━━━━━━━━━━━━━━━━━━━

🔴 HIGH RISK ALERTS

Shop: fake_seller_123
├── Selling counterfeit products
├── Price: $9.99 (MAP: $29.99)
└── Action: File TikTok IP report

━━━━━━━━━━━━━━━━━━━━━━━━

⚠️ AFFILIATE ABUSE

Creator: @unauthorized_creator
├── Promoting without authorization
├── Commission rate: 25%
└── Action: Contact creator / Report

TikTok IP Protection

TikTok's Intellectual Property Protection program allows brand owners to:

Report counterfeit listings
Remove unauthorized content
Block infringing sellers

Action Workflow

Monitor TikTok Shop
      ↓
Detect Violation
      ↓
Collect Evidence
      ↓
File IP Report
      ↓
Track Removal

Part of Nexscope AI — AI tools for e-commerce sellers.

What ships with it: 2 files

37.0 KB alongside SKILL.md, 2 of them executable

scripts/

detector.pyruns21.9 KB
templates.pyruns15.1 KB

Gives 0 of the 12 instructions most marketing audience skills give in 677 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

Apply Poppins font to headingsin 41 of 690, across 6 files
Apply Lora font to body textin 41 of 690, across 6 files
Use Arial fallback for headingsin 39 of 690, across 4 files
Use Georgia fallback for body textin 39 of 690, across 4 files
Maintain text hierarchy and formattingin 39 of 690, across 4 files
Use accent colors for non-text shapesin 38 of 690, across 3 files
Use RGB values for precise color matchingin 38 of 690, across 3 files
Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
Use active voice instead of passive voicein 26 of 690, across 10 files
Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

detect unauthorized sellers
monitor prices for map violations
analyze reviews for counterfeit signals
scan creator content for affiliate abuse
report active infringement within 24 hours
investigate potential concerns further

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.