Agent skill · Backend & API

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.

nexscope-aigithub.com/nexscope-aiGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 3 KB
Bundled scripts: yes
Version: 1.0.0
Path: review-checker/amazon-review-checker/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 580
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Installation
  2. Features
  3. Progressive Analysis Levels
  4. Detection Dimensions
  5. Risk Levels
  6. Usage
  7. Method 1: Paste Reviews
  8. Method 2: JSON Input
  9. Method 3: Demo Mode
  10. Output Example
  11. Interaction Flow
Ships with 3 files
  • scripts/analyzer.py
  • scripts/parser.py
  • scripts/report_html.py
Commands it runs
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -g
python3 scripts/analyzer.py '[
python3 scripts/analyzer.py --demo
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About this skill
What does the amazon-review-checker skill do?

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.

How do I install it?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From nexscope-ai/eCommerce-Skills, a repository with 580 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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