Agent skill · Backend & API

brand-protection-ebay

eBay brand protection toolkit. Detect unauthorized sellers, counterfeits, and VeRO violations. Includes price monitoring, trademark abuse detection, VeRO complaint templates, and enforcement guides. No API key required.

nexscope-aigithub.com/nexscope-aiGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-ebay --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: yes
Version: 1.0.0
Path: brand-protection/brand-protection-ebay/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 580
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Brand Protection — eBay 🛡️ Protect your brand from unauthorized sellers and counterfeits on eBay. ## Installation ```bash npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-ebay -g ``` ## Features - **Unauthorized Seller Detection** — Find sellers without authorization - **Price Monitoring** — MAP violation alerts - **Counterfeit Signals** — Feedback-based fake detection - **Trademark Abuse** — Listing title/description infringement - **VeRO Complaint Templates** — eBay's rights owner program - **Enforcement Guide** — Step-by-step takedown process ## eBay-Specific Detection | Dimension | Method | Risk Level | |-----------|--------|------------| | Unauthorized Sellers | Seller ID monitoring | 🔴 High | | Price Violations | Below MAP detection | 🔴 High | | Counterfeit | Feedback keyword analysis | 🔴 High | | Trademark | Title pattern matching | ⚠️ Medium | ## Risk Levels | Level | Description | Action | |-------|-------------|--------| | 🔴 High | Immediate threat | File VeRO within 24h | | ⚠️ Medium | Potential concern | Monitor and investigate | | ✅ Low | Normal activity | Continue monitoring | ## Input Configuration ```json { "brand_name": "YourBrand", "trad

What's inside
Steps it walks through
  1. Installation
  2. Features
  3. eBay-Specific Detection
  4. Risk Levels
  5. Input Configuration
  6. Usage
  7. Detection
  8. Generate Complaint Templates
  9. Output Example
  10. VeRO Program
  11. Action Workflow
Ships with 2 files
  • scripts/detector.py
  • scripts/templates.py
Commands it runs
npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-ebay -g
python3 scripts/detector.py
VeRO complaint
python3 scripts/templates.py vero
Cease & Desist letter
python3 scripts/templates.py cease-desist
Test buy guide
python3 scripts/templates.py testbuy
More from eCommerce-Skills
All skills →
brand-protection-tiktokTikTok Shop brand protection toolkit. Detect unauthorized sellers, counterfeit products, and…Backend & APIbrand-monitoringBrand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google…Backend & APIetsy-seoEtsy SEO analyzer and optimizer. Improve search visibility with title optimization, tag analysis…Backend & APIbrand-protection-amazonAmazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes…Testing & QAbrand-protection-shopifyShopify/DTC brand protection toolkit. Detect counterfeit stores, unauthorized resellers, and…Backend & APIbrand-protection-walmartWalmart brand protection toolkit. Detect unauthorized sellers, counterfeits, and MAP violations.…Backend & API
About this skill
What does the brand-protection-ebay skill do?

eBay brand protection toolkit. Detect unauthorized sellers, counterfeits, and VeRO violations. Includes price monitoring, trademark abuse detection, VeRO complaint templates, and enforcement guides. No API key required.

How do I install it?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-ebay --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From nexscope-ai/eCommerce-Skills, a repository with 580 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.