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amazon-review-checker

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.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 0.1.0
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amazon-review-checker

# 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/) — AI tools for e-commerce sellers.**

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 amazon-review-checker-1776105384 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 amazon-review-checker-1776105384 技能

通过命令行安装

skillhub install amazon-review-checker-1776105384

下载 Zip 包

⬇ 下载 amazon-review-checker v0.1.0

文件大小: 15.58 KB | 发布时间: 2026-4-14 10:28

v0.1.0 最新 2026-4-14 10:28
Amazon Review Checker v1.0.0 — Initial release

- Detects fake reviews, suspicious patterns, and rating manipulation on Amazon products.
- Supports progressive analysis from basic (content-only) to complete (with rating, date, and verified purchase).
- Calculates an authenticity score (0–100) with risk level classification.
- Flags high-risk reviews and provides explanations.
- Multiple input methods supported: pasted text, JSON, demo mode.
- No API key required; works offline.

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