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Install in OpenClaw
/install walmart-review-checker
Description
Walmart review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes WFS verified badge analysis, incentivized r...
Usage Guidance
This package looks like a local Python review-analyzer but has red flags: (1) many source strings mention Amazon (ASIN, 'Amazon Review Checker') while the skill is advertised for Walmart — this mismatch could be innocent copy-paste or indicate the wrong code was bundled; (2) SKILL.md suggests installing via npx from 'nexscope-ai/eCommerce-Skills' but the skill metadata lacks a homepage/source and the owner slug is unclear — fetching code from an unknown npm package has supply-chain risk. Before installing or running: verify the publisher on npm (or avoid the npx step and run the included scripts locally), review the full scripts for any network calls or subprocess usage (the visible portions appear local-only), run in an isolated environment (sandbox/container) if you want to test, and prefer to obtain the tool from a trusted source or repository with provenance. If you plan to use it for Walmart-specific signals, validate that the detection logic is actually tailored to Walmart (WFS badges, Walmart IDs) because current files show Amazon terminology (ASIN) which may limit correctness.
Capability Analysis
Type: OpenClaw Skill
Name: walmart-review-checker
Version: 0.1.0
The walmart-review-checker skill is a legitimate tool for analyzing e-commerce review authenticity. The bundle consists of Python scripts for parsing various data formats (CSV, JSON, Markdown), calculating risk scores based on review patterns (similarity, timing, keywords), and generating HTML reports. No evidence of data exfiltration, malicious execution, or prompt injection was found; the logic is entirely consistent with the stated purpose of detecting fake reviews.
Capability Assessment
Purpose & Capability
The skill is advertised as a Walmart review analyzer, but multiple included files and strings refer to Amazon (file headers, 'Amazon Review Checker', ASIN, 'AmazonReviewAuthenticityDetection', report footer). This suggests either copy-paste reuse or mislabeling. The SKILL.md installation example uses an npx command to pull 'nexscope-ai/eCommerce-Skills', but registry metadata lists a different owner slug and there is no homepage/source URL. These inconsistencies make it unclear whether the code matches the claimed Walmart-specific functionality.
Instruction Scope
SKILL.md contains clear runtime instructions to run the bundled Python scripts (e.g., python3 scripts/analyzer.py) and a demo mode; the scripts parse review text and generate an HTML report. The instructions do not ask the agent to read unrelated system files or env vars. One caveat: SKILL.md recommends an npx-based install that would fetch code from a remote package — that network action is outside the local scripts' behavior and should be treated as an additional risk if followed.
Install Mechanism
No official install spec is provided in the package; it's instruction-only plus bundled scripts. However, SKILL.md suggests installing via an npx command (npx skills add nexscope-ai/eCommerce-Skills --skill walmart-review-checker -g), which would fetch code from a remote registry (npm) if executed. Fetching an external package via npx carries the usual supply-chain risks; because there is no homepage or authoritative source listed, that npx recommendation is disproportionate and should be treated cautiously.
Credentials
The skill declares no required environment variables, credentials, or config paths, and the visible code does not reference environment secrets. That level of access is proportionate for a local analysis/reporting tool.
Persistence & Privilege
always:false and default invocation settings mean the skill is not force-included and does not request elevated persistence. The provided scripts produce local output (HTML) and reference a CDN for Chart.js in the generated report; they do not appear to modify other skills or global config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install walmart-review-checker - After installation, invoke the skill by name or use
/walmart-review-checker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Walmart Review Checker version 1.0.0 introduces an in-depth tool for evaluating the authenticity of Walmart product reviews.
- Analyzes reviews for fake/suspicious patterns and possible rating manipulation.
- Detects WFS verified badge patterns and highlights Walmart-specific red flags.
- Flags incentivized or paid reviews with dedicated indicators.
- Provides a 0–100 authenticity score with clear risk levels.
- Offers both copy-paste and JSON input options; no API key required.
Metadata
Frequently Asked Questions
What is Walmart Review Checker?
Walmart review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes WFS verified badge analysis, incentivized r... It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.
How do I install Walmart Review Checker?
Run "/install walmart-review-checker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Walmart Review Checker free?
Yes, Walmart Review Checker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Walmart Review Checker support?
Walmart Review Checker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Walmart Review Checker?
It is built and maintained by Henk Nie (@phheng); the current version is v0.1.0.
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