automas-notification

v0.0.4 safe
4.0
Medium Risk

Notification orchestration service

πŸ€– AI Analysis

Final verdict: SAFE

The package appears to be a legitimate tool for managing notification services without engaging in malicious activities. However, its low maintainer activity and poor metadata quality slightly increase the risk score.

  • No network calls or shell executions detected.
  • Low risk of code obfuscation and credential harvesting.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.

πŸ“¦ Package Quality Overall: Low (2.8/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7787 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 17 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with automas-notification
Create a fully-functional mini-app called 'Notification Hub' that leverages the 'automas-notification' package to manage and orchestrate notifications across various channels. This app will serve as a central hub for sending notifications via email, SMS, and push notifications to users based on specific triggers or events. Here’s a detailed breakdown of what the app should accomplish and how it integrates with the 'automas-notification' package:

1. **User Management**: Allow users to register and log in to the app. Each user should have a unique profile where they can specify their preferred notification methods (email, SMS, push notifications).
2. **Event Triggers**: Implement different types of events that trigger notifications. For example, a new message in a chat, a system alert, or a scheduled reminder.
3. **Notification Configuration**: Users should be able to configure which events trigger notifications for them and through which channels. For instance, they might want SMS alerts for urgent system messages but only email for less critical updates.
4. **Sending Notifications**: Use the 'automas-notification' package to send out notifications according to the user’s preferences and event triggers. Ensure that the app supports multiple channels (email, SMS, push) seamlessly.
5. **Notification History**: Maintain a history of sent notifications for each user. Users should be able to view past notifications within their profiles.
6. **Admin Dashboard**: Provide an admin dashboard where administrators can monitor overall usage, manage users, and customize default notification settings for all users.
7. **Security & Privacy**: Ensure that all user data and notifications are handled securely. Implement necessary security measures like encryption for sensitive information and authentication for accessing user profiles and the admin dashboard.

The 'automas-notification' package simplifies the process of sending notifications across different channels by abstracting away the complexities of individual channel APIs. It provides a unified interface for sending notifications, making it easier to integrate multiple channels into your application without having to deal with each API individually. Utilize its core features to streamline the notification process in your 'Notification Hub' app.

πŸ’¬ Discussion Feed

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