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.
Other skills for the same job
different authors, same section of the catalogue
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
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.