v1.0.0 to v1.0.0

---

name: ebay-review-checker

version: 1.0.0

description: "eBay review and feedback authenticity analyzer. Detect fake reviews, suspicious seller feedback patterns, and buyer manipulation. Includes time clustering detection, content similarity analysis, and eBay-specific red flag identification. No API key required."

metadata: {"nexscope":{"emoji":"🔍","category":"ecommerce"}}

---

# eBay Review Checker 🔍

Review and feedback authenticity analyzer for eBay — detect fake reviews, suspicious patterns, and feedback manipulation.

## Installation

```bash

npx skills add nexscope-ai/eCommerce-Skills --skill ebay-review-checker -g

```

## Features

- **Seller Feedback Analysis** — Analyze seller feedback authenticity

- **Buyer Feedback Patterns** — Detect suspicious buyer behavior

- **eBay-specific Red Flags** — Platform-specific warning signs

- **Progressive Analysis** — More data = deeper insights

## eBay-Specific Detection

| Signal | Description |

|--------|-------------|

| Feedback timing | Clustered feedback in short periods |

| Generic comments | "A+++" or "Great seller" patterns |

| Account age | New accounts leaving multiple feedbacks |

| Transaction patterns | Unusual buying/selling patterns |

## Risk Levels

| Score | Level | Description |

|-------|-------|-------------|

| 70-100 | ✅ Low Risk | Feedback appears authentic |

| 50-69 | ⚠️ Medium Risk | Some concerns found |

| 30-49 | 🔴 High Risk | Multiple red flags |

| 0-29 | 💀 Critical | Likely manipulated feedback |

## Usage

### Paste Feedback

```

Check this seller feedback:

Positive - Great seller, fast shipping! A+++

Positive - Excellent transaction, thank you!

Positive - Perfect! Would buy again.

Negative - Item never arrived.

```

### JSON Input

```bash

python3 scripts/analyzer.py '[

{"content": "A+++ seller!", "rating": "positive", "date": "2024-01-15"},

{"content": "Fast shipping", "rating": "positive", "date": "2024-01-15"}

]'

```

## Output Example

```

📊 eBay Feedback Authenticity Report

Seller: example_seller

Feedback Count: 50

Analysis Level: L3

━━━━━━━━━━━━━━━━━━━━━━━━

Authenticity Score: 72/100 ✅

Low Risk - Feedback appears authentic.

━━━━━━━━━━━━━━━━━━━━━━━━

Detection Results

✅ Time Clustering: Normal

⚠️ Generic Comments: 15% (slightly high)

✅ Account Diversity: Good

```

---