astralprims

v0.1.0 suspicious
6.0
Medium Risk

Composable, serializable UI primitives for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low activity and minimal maintainer history, raising concerns about its legitimacy and potential for misuse.

  • Metadata risk score of 7 out of 10
  • Lack of maintainer history and minimal contributor engagement
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being potentially malicious due to low activity, lack of maintainer history, and minimal contributor engagement.

📦 Package Quality Overall: Medium (5.0/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_primitives.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3110 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 12 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in AstralDeep/Astral-Primitives
  • Single author with few commits — possibly a personal or throwaway project

🔬 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

Email domain looks legitimate: example.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 2 total
  • Single contributor with only 2 commit(s) — possibly throwaway account
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with astralprims 
Create a fully-functional mini-application that serves as a personal dashboard for managing daily tasks and reminders. This application should allow users to add, edit, delete, and view their tasks and reminders through a user-friendly interface built using the 'astralprims' package. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Begin by setting up your Python environment and installing the necessary packages, including 'astralprims'. Ensure you have a basic understanding of Python and how to use 'astralprims' for building UI components.

2. **Design the User Interface**: Use 'astralprims' to design a clean and intuitive interface. Consider implementing the following UI elements:
   - A navigation bar for switching between different views (e.g., Tasks, Reminders).
   - A task/reminder list display area showing all current entries.
   - An input form for adding new tasks/reminders.
   - Buttons for editing and deleting existing entries.

3. **Implement Core Functionality**: Develop the backend logic to support CRUD operations (Create, Read, Update, Delete) for tasks and reminders. Utilize 'astralprims' to bind these functionalities to the corresponding UI elements. For example, clicking the 'Add Task' button should trigger a function to save the new task data.

4. **Data Storage**: Decide on a method to store the tasks and reminders data. This could be a simple in-memory storage for demonstration purposes, or you might choose to integrate with a local file system or a database.

5. **Enhancements**: To make the application more useful, consider adding additional features such as:
   - A calendar view for visualizing tasks and reminders over time.
   - Notifications for upcoming tasks and reminders.
   - A search functionality to find specific tasks or reminders easily.

6. **Testing and Debugging**: Thoroughly test the application to ensure all features work as expected. Pay special attention to user interactions and data persistence.

7. **Deployment**: Once satisfied with the application, consider deploying it to a platform like GitHub Pages or a web server if you want to share it publicly.

Throughout the development process, leverage 'astralprims' to its full potential, focusing on composability and serialization of UI components to create a dynamic and responsive user experience.

💬 Discussion Feed

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