mcpbeat

Walmart Review Checker

nexscope-ai/walmart-review-checker

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.

14k tokens
context cost
the whole folder, loaded on every use
4
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
570
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill walmart-review-checker

What comes with it

52 480 bytes besides the instruction
scripts/analyzer.py
scripts/parser.py
scripts/report_html.py

The instruction itself

10 sections, as written by the author

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.

How to use it

Copy the folder

Take nexscope-ai/walmart-review-checker from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.