Amazon Review Checker

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 3e6c611584c3 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/eCommerce-Skills/review-checker/amazon-review-checkerThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict3e6c611584c3A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content similarity analysis, rating distribution checks, and verified purchase…

---
name: amazon-review-checker
version: 1.0.0
description: "Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content similarity analysis, rating distribution checks, and verified purchase validation. Progressive analysis with L1-L4 depth levels. No API key required."
metadata: {"nexscope":{"emoji":"🔍","category":"ecommerce"}}
---

# Amazon Review Checker 🔍

Review authenticity analyzer — detect fake reviews, suspicious patterns, and rating manipulation.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -g
```

## Features

- **Authenticity Score** — 0-100 comprehensive rating
- **Suspicious Pattern Detection** — Time clustering, content similarity, rating anomalies
- **Fake Review Flagging** — Mark high-risk reviews with explanations
- **Progressive Analysis** — More data = deeper insights

## Progressive Analysis Levels

| Level | Required Data | Unlocked Analysis |
|-------|---------------|-------------------|
| **L1 Basic** | Review content | Similarity, length, keywords |
| **L2 Advanced** | + Review date | Time clustering detection |
| **L3 Deep** | + Star rating | Rating distribution analysis |
| **L4 Complete** | + VP status | Verified purchase validation |

## Detection Dimensions

| Dimension | Weight | Method |
|-----------|--------|--------|
| Time Clustering | 25% | Sliding window + burst detection |
| Content Similarity | 20% | N-gram + Jaccard similarity |
| Rating Distribution | 20% | Chi-square test vs natural distribution |
| VP Ratio | 15% | Compare to category benchmark |
| Review Length | 5% | Entropy analysis |
| Suspicious Keywords | 5% | Keyword pattern matching |

## 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 mass fake reviews |

## Usage

### Method 1: Paste Reviews

Paste reviews directly in conversation:

```
Check these reviews:

5 stars - Great product! Works perfectly.
5 stars - Amazing! Best purchase ever.
1 star - Not as described.
```

### Method 2: JSON Input

```bash
python3 scripts/analyzer.py '[
  {"content": "Great product!", "rating": 5, "date": "2024-01-15", "verified_purchase": true},
  {"content": "Amazing!", "rating": 5, "date": "2024-01-15", "verified_purchase": false}
]'
```

### Method 3: Demo Mode

```bash
python3 scripts/analyzer.py --demo
```

## Output Example

```
📊 Review Authenticity Report

ASIN: B08XXXXX
Reviews: 10
Analysis Level: L4

━━━━━━━━━━━━━━━━━━━━━━━━

Authenticity Score: 66/100 ⚠️

Medium Risk - Some concerns found.

━━━━━━━━━━━━━━━━━━━━━━━━

Detection Dimensions

🔴 Time Clustering: 70/100
   Max 6 reviews within 48h

✅ Content Similarity: 24/100
   Found 0 highly similar review groups

━━━━━━━━━━━━━━━━━━━━━━━━

High-Risk Reviews (Top 3)

1. Risk 75% - "Perfect!"
   Reason: Too short, non-VP, templated 5-star

🔍 Want more accurate analysis? Add:
• Reviewer info → Unlock "Account Profile Analysis"
```

## Interaction Flow

```
User Input (any format)
        ↓
Smart field detection
        ↓
Analyze with available data
        ↓
Results + depth suggestions
        ↓
User continues or ends
```

---

**Part of [Nexscope AI](https://www.nexscope.ai/?co-from=skill) — AI tools for e-commerce sellers.**

Excerpt, first 3,473 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

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

git clone https://github.com/nexscope-ai/eCommerce-Skills
git -C eCommerce-Skills checkout 3e6c611584c3

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 3e6c611584c3

Questions about Amazon Review Checker

• github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker — the audited source at commit 3e6c611584c3 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology