W

walmart-review-checker

Por:nexscope-ai

Walmart review authenticity — fake reviews, WFS verified badge analysis, red flags.

Instalación

Envíe este comando a su agente de IA:

npx skills add https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/walmart-review-checker --skill walmart-review-checker

Documentación

---

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":"🔍","category":"ecommerce"}}

---

Walmart Review Checker 🔍

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

Installation

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

Features

  • Authenticity Score — 0-100 comprehensive rating
  • WFS Verified Badge Analysis — Check fulfillment verification patterns
  • Incentivized Review Detection — Identify paid/incentivized reviews
  • Walmart-specific Red Flags — Platform-specific warning signs
  • Progressive Analysis — 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 | ✅ Low Risk | Reviews appear authentic |

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

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

| 0-29 | 💀 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

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

python3 scripts/analyzer.py --demo

Output Example

📊 Walmart Review Authenticity Report

Product: Example Product

Reviews: 25

Analysis Level: L3

━━━━━━━━━━━━━━━━━━━━━━━━

Authenticity Score: 74/100 ✅

Low Risk - Reviews appear authentic.

━━━━━━━━━━━━━━━━━━━━━━━━

Detection Results

✅ Time Clustering: Normal

✅ WFS Verified Ratio: 68% (healthy)

⚠️ Generic Comments: 12%

---

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

Campo de golf

GitHub