arxyne

v0.0.1 suspicious
4.0
Medium Risk

How Physical AI fits into the design and engineering pipeline

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network calls, shell execution, and obfuscation. However, the metadata risk score is high due to the non-existent repository and sparse author details, raising concerns about its authenticity.

  • High metadata risk due to non-existent repository
  • Limited author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows several red flags including a non-existent repository and an author with limited information, suggesting potential risk.

📦 Package Quality Overall: Low (2.0/10)

○ 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 (388 chars)
○ 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

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: arxyne.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 arxyne 
Design and develop a mini-application called 'PhysicalAI Designer' using the Python package 'arxyne'. This application will serve as a tool for integrating Physical AI into the design and engineering process. The goal is to enable users to visualize and simulate how Physical AI components can be incorporated into their projects, from initial concept to final implementation.

### Key Features:
1. **Project Setup**: Allow users to create new projects and load existing ones. Each project should contain details such as project name, description, and a list of Physical AI components to be included.
2. **Component Library**: Provide a library of Physical AI components that users can browse and select for inclusion in their projects. Each component should have detailed information, including technical specifications, potential use cases, and visual representations.
3. **Simulation Engine**: Implement a simulation feature where users can visualize how their chosen Physical AI components interact within their project environment. Users should be able to adjust parameters and see real-time changes in the simulation.
4. **Integration Guide**: Once the user has finalized their design, generate an integration guide that outlines the steps needed to implement the Physical AI components in the real world. This guide should include technical documentation, recommended hardware, and software configurations.
5. **Feedback Loop**: Enable users to provide feedback on their experience with the application and the effectiveness of the Physical AI components in their projects.

### Utilizing 'arxyne':
- Use 'arxyne' to handle the core functionalities related to Physical AI components, including data handling, simulation, and integration guidance. Specifically, leverage 'arxyne' to manage the interaction between different Physical AI components and the project environment, ensuring accurate and realistic simulations.
- Integrate 'arxyne' to dynamically update the visualization based on user inputs and selections, providing an interactive and engaging experience.
- Utilize 'arxyne' to generate comprehensive integration guides tailored to each project, ensuring users have all the necessary information to proceed with their implementation.

💬 Discussion Feed

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