AI Analysis
Final verdict: SUSPICIOUS
The package appears functional for its intended purpose but exhibits low effort in metadata and maintainer history, raising some concerns about its legitimacy.
- Metadata risk score of 5 out of 10
- Low maintainer activity and effort in package documentation
Per-check LLM notes
- Network: The network call pattern is expected as it suggests the package is setting up an SMTP connection to send emails, which aligns with its presumed functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk associated with executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The package shows low effort in metadata and maintainer history, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Brief PyPI description (210 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
13 type-annotated function signatures detected in source
○ 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
score 1.5
Found 1 network call pattern(s)
else: smtp = smtplib.SMTP(self.config.smtp_server, self.config.smtp_port) try:
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 shortAuthor "" 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 automas-notification-mail
Create a simple yet effective task management mini-app using Python that integrates the 'automas-notification-mail' package to send automated email notifications. This app will allow users to create, manage, and track tasks, and it will notify them via email when a task is due or overdue. Here’s how you can structure your project: 1. **User Authentication**: Implement a basic user authentication system where users can sign up and log in. 2. **Task Management Features**: - Users should be able to add new tasks with details such as title, description, due date, and priority level. - Tasks should be organized into categories or lists (e.g., Work, Personal). - Users should be able to mark tasks as completed and delete them. 3. **Email Notifications**: - Integrate the 'automas-notification-mail' package to automatically send email reminders two days before a task is due. - Send an email notification if a task becomes overdue. 4. **Database Storage**: Use SQLite for storing user data and tasks locally. Ensure data persistence across sessions. 5. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the app. 6. **Testing**: Write unit tests for each feature to ensure functionality. 7. **Documentation**: Provide clear documentation on how to install and use the app, including setup instructions for the 'automas-notification-mail' package. For the email notifications, utilize the 'automas-notification-mail' package by configuring it with SMTP settings and setting up scheduled tasks based on the due dates of the tasks. Ensure that the emails include relevant information about the task, such as its title, description, and due date. This project will serve as a practical example of integrating third-party packages for enhanced functionality and will provide valuable experience in developing real-world applications.
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