Walmart Review Checker
- 1 installs
- 3 repo stars
- Updated May 27, 2026
- aibot88/sec_skill_store
walmart-review-checker is a Claude Code skill that analyzes Walmart product reviews for authenticity and rating manipulation.
About
walmart-review-checker is a Claude Code skill that analyzes Walmart product reviews to detect fake reviews, suspicious patterns, and rating manipulation. It produces a 0-100 authenticity score using WFS verified-badge analysis, incentivized-review detection, and Walmart-specific red flags. An ecommerce seller uses it to gauge whether a product's reviews are trustworthy. It accepts pasted reviews or JSON and needs no API key.
- Analyzes Walmart product reviews for authenticity and manipulation
- Gives a 0-100 authenticity score with WFS badge and incentivized-review detection
- Runs on pasted reviews or JSON input; no API key required
Walmart Review Checker by the numbers
- 1 all-time installs (skills.sh)
- Ranked #1,983 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
- Data as of Jul 12, 2026 (Skillselion catalog sync)
walmart-review-checker capabilities & compatibility
Free; no API key required
- Capabilities
- review analysis · fake review detection · authenticity scoring · data analysis
- Use cases
- data analysis
- Pricing
- Free
What walmart-review-checker says it does
Review authenticity analyzer for Walmart — detect fake reviews, suspicious patterns, and feedback manipulation.
Authenticity Score** — 0-100 comprehensive rating
npx skills add https://github.com/aibot88/sec_skill_store --skill walmart-review-checkerAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 1 |
|---|---|
| repo stars | ★ 3 |
| Last updated | May 27, 2026 |
| Repository | aibot88/sec_skill_store ↗ |
What it does
Score the authenticity of Walmart product reviews and flag manipulation for ecommerce sellers.
Who is it for?
Ecommerce sellers and shoppers checking whether Walmart reviews are authentic
Skip if: Reviews on platforms other than Walmart
When should I use this skill?
You want to check if a set of Walmart reviews looks fake or manipulated
What you get
- Authenticity score 0-100
- Detection results report
By the numbers
- 0-100 authenticity score
- 4 risk levels (Low/Medium/High/Critical)
Files
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 -gFeatures
- 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 --demoOutput 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](https://www.nexscope.ai/?co-from=skill) — AI tools for e-commerce sellers.
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"name": "walmart-review-checker",
"slug": "walmart-review-checker",
"source": "claudskills",
"source_url": "https://claudskills.com/skills/walmart-review-checker/",
"download_url": "https://claudskills.com/skills/walmart-review-checker/SKILL.md",
"external_source_url": "",
"license": "",
"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.",
"category": "general",
"download_status": "downloaded",
"download_note": "cached",
"metadata": {
"subcategory": "design-creative",
"featured": false
},
"collected_at": "2026-05-27T03:44:34+00:00"
}
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Does it need an API key?
No, the skill states no API key is required and analyzes pasted reviews or JSON input directly.
What is the authenticity score?
A 0-100 rating where 70-100 is low risk, 50-69 medium, 30-49 high, and 0-29 critical (likely manipulated).