v1.0.0 to v1.0.0

1 added, 1 removed. Audit A to A.

---
name: walmart-review-checker
version: 1.0.0
description: "Walmart review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes WFS verified badge analysis, incentivized review detection, and Walmart-specific red flag identification. No API key required."
metadata: {"nexscope":{"emoji":"๐Ÿ”","category":"ecommerce"}}
---
# Walmart Review Checker ๐Ÿ”
Review authenticity analyzer for Walmart โ€” detect fake reviews, suspicious patterns, and feedback manipulation.
## Installation
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill walmart-review-checker -g
```
## Features
- **Authenticity Score** โ€” 0-100 comprehensive rating
- **WFS Verified Badge Analysis** โ€” Check fulfillment verification patterns
- **Incentivized Review Detection** โ€” Identify paid/incentivized reviews
- **Walmart-specific Red Flags** โ€” Platform-specific warning signs
- **Progressive Analysis** โ€” More data = deeper insights
## Walmart-Specific Detection
| Signal | Description |
|--------|-------------|
| WFS Badge | Verified fulfillment patterns |
| Incentivized | "Received free product" indicators |
| Review timing | Clustered reviews in short periods |
| Generic comments | Templated review patterns |
## Risk Levels
| Score | Level | Description |
|-------|-------|-------------|
| 70-100 | โœ… Low Risk | Reviews appear authentic |
| 50-69 | โš ๏ธ Medium Risk | Some concerns found |
| 30-49 | ๐Ÿ”ด High Risk | Multiple red flags |
| 0-29 | ๐Ÿ’€ Critical | Likely manipulated reviews |
## Usage
### Paste Reviews
```
Check these Walmart reviews:
5 stars - Great product, fast shipping from WFS!
5 stars - Exactly as described, love it!
1 star - Arrived damaged.
```
### JSON Input
```bash
python3 scripts/analyzer.py '[
{"content": "Great product!", "rating": 5, "date": "2024-01-15", "wfs_verified": true},
{"content": "Amazing!", "rating": 5, "date": "2024-01-15", "wfs_verified": false}
]'
```
### Demo Mode
```bash
python3 scripts/analyzer.py --demo
```
## Output Example
```
๐Ÿ“Š Walmart Review Authenticity Report
Product: Example Product
Reviews: 25
Analysis Level: L3
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
Authenticity Score: 74/100 โœ…
Low Risk - Reviews appear authentic.
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
Detection Results
โœ… Time Clustering: Normal
โœ… WFS Verified Ratio: 68% (healthy)
โš ๏ธ Generic Comments: 12%
```
---
- **Part of [Nexscope AI](https://www.nexscope.ai/) โ€” AI tools for e-commerce sellers.**
+ **Part of [Nexscope AI](https://www.nexscope.ai/?co-from=skill) โ€” AI tools for e-commerce sellers.**