Ebay Review Checker

eBay review and feedback authenticity analyzer. Detect fake reviews, suspicious seller feedback patterns, and buyer manipulation. Includes time clustering de...

Security Scan

The skill mostly does what it says (parses reviews and scores various fraud signals), but there are notable inconsistencies (it repeatedly references Amazon/ASIN while the skill claims to be eBay) and the README suggests installing via an external npx command — review these before installing.

Purpose & Capability

The SKILL.md and metadata claim an eBay-focused reviewer, but the bundled code (docstrings, variables, report footer) repeatedly references Amazon, ASIN, and 'Amazon Review Checker'. This mismatch could be harmless (reused code) but may also mean the analyzer uses Amazon-specific assumptions (ASIN, VP heuristics) that are not appropriate for eBay. Users should verify whether eBay-specific checks are actually implemented and whether outputs reference the correct identifiers.

Instruction Scope

Runtime instructions ask the agent to run the included Python scripts and paste or pass review text/JSON. The scripts parse text, score dimensions (time clustering, content similarity, rating distribution, VP ratio), and generate an HTML report. The instructions do not ask the agent to read unrelated files or environment variables. There is no obvious instruction to transmit data to external endpoints in the provided SKILL.md.

Install Mechanism

The skill has no formal install spec in the registry, but SKILL.md suggests installing via an npx command (npx skills add nexscope-ai/eCommerce-Skills --skill ebay-review-checker -g). That command will fetch code from an external package at install time — verify the package source before running. The included code itself has no obvious external download behavior in the visible portions, but the npx-based install is an external network action and should be treated accordingly.

Credentials

No environment variables, credentials, or config paths are required. The included scripts (parser, analyzer, report generator) do not reference os.environ or secret-bearing config in the provided excerpts. This is proportional to the declared purpose.

Persistence & Privilege

The skill is not marked always:true and uses normal model invocation. There is no sign in the provided files that it modifies other skills or system-wide agent settings. It writes an HTML report to disk (normal for a report generator) but does not request permanent system presence.

What to consider before installing

Key things to consider before installing: 1) Code/purpose mismatch: the SKILL.md advertises eBay, but the code repeatedly mentions Amazon/ASIN and even prints 'Amazon Review Checker' in reports — confirm whether the logic is suitable for eBay or if the author reused Amazon-centric code. 2) Installation: SKILL.md suggests using npx to fetch a package (external network download). Only run that if you trust the nexscope-ai package source; review the package on npm/GitHub first. 3) Data handling: the tool parses and writes review data to an HTML file. If you plan to analyze sensitive data, run it in an isolated environment and inspect the code for any network calls (look for 'requests', 'urllib', 'socket', 'subprocess', or os.environ reads) in the parts truncated here. 4) If you need true eBay-specific checks (seller IDs, eBay API fields), verify the implementation or prefer a tool explicitly tested for eBay. 5) To improve confidence: get the full, untruncated source and scan it for network I/O and environment access. If you cannot verify the package source or full code, run the scripts offline in a sandbox before giving them any sensitive data.

Review and feedback authenticity analyzer for eBay — detect fake reviews, suspicious patterns, and feedback manipulation.

Installation

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

Features

• Seller Feedback Analysis — Analyze seller feedback authenticity
• Buyer Feedback Patterns — Detect suspicious buyer behavior
• eBay-specific Red Flags — Platform-specific warning signs
• Progressive Analysis — More data = deeper insights

eBay-Specific Detection

Signal	Description
Feedback timing	Clustered feedback in short periods
Generic comments	"A+++" or "Great seller" patterns
Account age	New accounts leaving multiple feedbacks
Transaction patterns	Unusual buying/selling patterns

Risk Levels

Score	Level	Description
70-100	✅ Low Risk	Feedback appears authentic
50-69	⚠️ Medium Risk	Some concerns found
30-49	🔴 High Risk	Multiple red flags
0-29	💀 Critical	Likely manipulated feedback

Usage

Paste Feedback

Check this seller feedback:

Positive - Great seller, fast shipping! A+++
Positive - Excellent transaction, thank you!
Positive - Perfect! Would buy again.
Negative - Item never arrived.

JSON Input

python3 scripts/analyzer.py '[
  {"content": "A+++ seller!", "rating": "positive", "date": "2024-01-15"},
  {"content": "Fast shipping", "rating": "positive", "date": "2024-01-15"}
]'

Output Example

📊 eBay Feedback Authenticity Report

Seller: example_seller
Feedback Count: 50
Analysis Level: L3

━━━━━━━━━━━━━━━━━━━━━━━━

Authenticity Score: 72/100 ✅

Low Risk - Feedback appears authentic.

━━━━━━━━━━━━━━━━━━━━━━━━

Detection Results

✅ Time Clustering: Normal
⚠️ Generic Comments: 15% (slightly high)
✅ Account Diversity: Good

---

Part of Nexscope AI — AI tools for e-commerce sellers.