🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with it, primarily due to its use of network calls for expected functionality. There are no indications of malicious activity.

Network risk due to intended network calls
Maintainer has only one package, possibly new or less active

Per-check LLM notes

Network: The package uses network calls to interact with an OAIO server, which is likely part of its intended functionality.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags were identified.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

root) self.session = requests.Session() self.session.headers.update(context_encode(self.us
-> requests.Response: """ requests.Session().get/.post method response mocks, simulating oaio server. "
-> requests.Response: """ requests.Session().get/.post method response mocks, returning error """ m

✓ 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: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AndiEcker" 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 ae-oaio-client

Create a fully-functional mini-application called 'AsyncObjExplorer' that leverages the 'ae-oaio-client' Python package to demonstrate asynchronous interchangeability of objects. This application will serve as a tool for developers to understand and experiment with the capabilities of the package. Here are the steps and features you need to implement:

1. **Setup**: Start by installing the 'ae-oaio-client' package and setting up your development environment.
2. **Main Functionality**: Develop the core functionality that allows users to create, manipulate, and interact with different types of objects asynchronously. Users should be able to specify object types, such as 'TextProcessor', 'ImageAnalyzer', etc., and perform operations like 'process()', 'analyze()', etc.
3. **User Interface**: Implement a simple command-line interface (CLI) where users can input commands to interact with the application. For example, they should be able to run commands like 'create TextProcessor', 'process', and see the output.
4. **Advanced Features**: Add advanced features such as:
   - **Object Switching**: Allow users to switch between different object types during runtime without stopping the application.
   - **Asynchronous Execution**: Ensure all operations are performed asynchronously to showcase the true power of 'ae-oaio-client'.
5. **Documentation**: Provide comprehensive documentation on how to use the application, including setup instructions and examples of how to extend the application with new object types.
6. **Testing**: Include unit tests to verify the correctness of the implementation and ensure the application works as expected under various conditions.
7. **Deployment**: Package the application so it can be easily installed and run by other developers. Consider using tools like PyPI for distribution.

The goal is to create an educational yet practical tool that demonstrates the flexibility and power of asynchronous object manipulation using 'ae-oaio-client'.