AI Analysis
Final verdict: SUSPICIOUS
The package shows signs of potential neglect or malicious intent due to its metadata indicating low maintenance effort from a possibly inactive maintainer.
- New or inactive maintainer account
- Lack of PyPI classifiers
Per-check LLM notes
- Metadata: The maintainer has a new or inactive account and the package lacks PyPI classifiers, suggesting low effort in maintaining it.
Package Quality Overall: Low (1.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "lonely" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with amz-extractor
构建一个名为'AmazonInsight'的小型应用程序，该程序利用Python的'amz-extractor'包来提取亚马逊产品详情页和用户评论数据。这个应用程序将允许用户输入任何亚马逊产品的URL，然后展示该产品的关键信息（如标题、价格、评分等）以及最近的用户评论摘要。具体步骤如下： 1. 用户通过图形界面或命令行输入亚马逊商品的URL。 2. 应用程序使用'amz-extractor'包从提供的URL中提取产品详情和评论。 3. 展示产品详情，包括但不限于标题、价格、评级、评论数量等。 4. 显示最近的用户评论摘要，每个摘要应包含评论者的名字（如果可用）、评分、日期以及评论内容。 5. 允许用户选择保存提取的数据到本地文件，格式可以是CSV或JSON。 6. 添加错误处理机制，确保在无效输入时提供有用的反馈。 此外，为了增加用户体验，考虑添加以下功能： - 界面美化，使用Tkinter或其他GUI库创建一个简单的图形用户界面。 - 支持多线程或异步请求，以便在提取大量数据时提高效率。 - 实现搜索历史功能，让用户能够快速回顾之前查询的产品。 - 提供一个简单的统计视图，显示所有评论的情感分析结果，如积极、消极或中立。 请详细描述如何实现上述功能，并解释在开发过程中如何有效利用'amz-extractor'包的功能。
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