Xingyvan-Auto-Commenter

v0.1.2 suspicious
5.0
Medium Risk

自动批注docx作业

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to low maintainer activity and poor metadata quality, though it does not exhibit any direct malicious behavior such as network calls, shell execution, or obfuscation.

  • Metadata risk at 4 out of 10
  • No direct evidence of malicious behavior
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires them.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not engage in secret or credential theft activities.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not definitive evidence of malicious intent.

🔬 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 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 Xingyvan-Auto-Commenter 
构建一个名为 'AutoGrader' 的小型应用程序，该应用使用Python的 'Xingyvan-Auto-Commenter' 包来自动批改和评论.docx格式的学生作业。这个应用程序应该能够读取.docx文件中的学生作业内容，并根据预设的标准或算法自动生成反馈和评分。此外，它还应该具备以下功能：

1. 支持用户上传多个.docx文件，以批量处理学生的作业。
2. 提供一个简单的界面，让用户选择或输入批改标准（例如：拼写错误扣分、语法正确性等）。
3. 自动生成评语，包括对每个作业的优点和需要改进的地方。
4. 将生成的评语和分数直接添加回原始的.docx文件中，以便老师可以直接打印或通过电子邮件发送给学生。
5. 具备保存和恢复进度的功能，以防意外关闭程序导致数据丢失。
6. 可以将所有批改过的作业及评语导出为一个新的.docx文件或者CSV格式的报告，方便统计分析。

为了实现这些功能，你将主要利用 'Xingyvan-Auto-Commenter' 包提供的核心能力来处理.docx文档并生成评语。具体来说，你需要导入此包，并调用其相关方法来读取和修改.docx文件的内容。同时，还需要结合其他Python库（如openpyxl用于CSV操作，tkinter用于创建图形用户界面）来完善整个应用程序的功能。

💬 Discussion Feed

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