airo-typing

v2026.5.0 suspicious
4.0
Medium Risk

Python type definitions for use in the python packages at the Ghent University AI and Robotics Lab

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low technical risks but has a moderate metadata risk due to the author's new or inactive account and lack of PyPI classifiers. This combination raises concerns about the package's origin and intentions.

  • author has a new or inactive PyPI account
  • lack of PyPI classifiers
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
  • Metadata: The author has a new or inactive account and the package lacks PyPI classifiers, indicating low metadata quality and potential low effort.

📦 Package Quality Overall: Low (2.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_stub.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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: ugent.be

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Thomas Lips" 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 airo-typing 
Create a Python-based interactive command-line tool named 'AIRO-Typer' that leverages the 'airo-typing' package for enhanced type safety and code readability. This tool will serve as a simple yet powerful interface for users to interact with AI and robotics functionalities provided by the Ghent University AI and Robotics Lab. Your task includes the following steps:

1. **Setup Project Environment**: Begin by setting up a virtual environment for your project. Install the necessary dependencies, including the 'airo-typing' package.
2. **Define Core Features**: Define the core features of your application. These include but are not limited to:
   - User authentication using tokens provided by the lab.
   - Command execution for various AI and robotics services, such as fetching data from sensors, controlling robotic arms, etc.
3. **Utilize Airo-Typing Package**: Use the 'airo-typing' package to define type hints for functions and classes within your application. This will help in ensuring that the application adheres to the correct data types and structures expected by the AI and Robotics Lab's services.
4. **Implement User Interface**: Design a user-friendly command-line interface where users can input commands and receive responses. Commands should be structured and easy to understand, with clear prompts guiding the user through each interaction.
5. **Error Handling**: Implement robust error handling mechanisms to manage unexpected inputs and service failures gracefully.
6. **Documentation**: Write comprehensive documentation for both end-users and developers. Include examples of how to use the application effectively and how to extend its functionality.
7. **Testing**: Develop a suite of tests to ensure that all parts of the application work as intended. Focus on testing type correctness using the 'airo-typing' package and functional correctness of the commands.
8. **Deployment**: Prepare the application for deployment. Ensure it can be easily installed via pip and run on different environments.

By completing these steps, you will have developed a fully-functional mini-app that not only interacts with the AI and Robotics Lab's services but also showcases the importance of type safety in Python applications.

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