Walmart Review Checker Agent Skill
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.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill walmart-review-checkerWhat comes with it
52 480 bytes besides the instructionThe instruction itself
10 sections, as written by the authorWalmart 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.
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How to use it
Take nexscope-ai/walmart-review-checker from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.
The instructions reference npx.
Without those the skill loads but fails at the first command.