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在 OpenClaw 中安装
/install walmart-review-checker
功能描述
Walmart review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes WFS verified badge analysis, incentivized r...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install walmart-review-checker - 安装完成后，直接呼叫该 Skill 的名称或使用
/walmart-review-checker触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Walmart Review Checker 是什么？
Walmart review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes WFS verified badge analysis, incentivized r... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 114 次。
如何安装 Walmart Review Checker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install walmart-review-checker」即可一键安装，无需额外配置。
Walmart Review Checker 是免费的吗？
是的，Walmart Review Checker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Walmart Review Checker 支持哪些平台？
Walmart Review Checker 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Walmart Review Checker？
由 Henk Nie（@phheng）开发并维护，当前版本 v0.1.0。
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