🤖 AI Analysis

Final verdict: SAFE

The package shows low risks in terms of network and shell activities, with no direct threats identified. The metadata suggests some caution due to the author's limited history but does not conclusively point towards malicious intent.

Low network and shell risk scores.
Single package from the author raises minor suspicion.

Per-check LLM notes

Network: No network calls detected, which is typical unless the package requires internet access for functionality.
Shell: No shell execution detected, indicating no immediate risk of command injection or system exploitation.
Metadata: The author has only one package, suggesting a new or less active account which could indicate potential risk.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://airalogy.github.io/airalogy/airalogy-engine/
Detailed PyPI description (5128 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

◈ Medium Type Annotations 5.0

Partial type annotation coverage

30 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 100 commits in airalogy/airalogy
Small but multi-author team (3–4 contributors)

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository airalogy/airalogy appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Airalogy Team" 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 airalogy-engine

Create a fully functional mini-application called 'AirSandbox' using the Python package 'airalogy-engine'. This application will serve as a playground for executing and visualizing Airalogy protocols in a safe and isolated environment. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Begin by setting up your Python development environment and installing the 'airalogy-engine' package.
2. **Core Functionality**: Implement the core functionality of executing Airalogy protocols within a sandboxed environment provided by 'airalogy-engine'. Ensure that the execution is secure and isolated from the main system.
3. **User Interface**: Develop a simple yet effective user interface where users can input their Airalogy protocol code and see real-time results or errors.
4. **Visualization Tools**: Integrate visualization tools that help in understanding the flow and impact of the executed protocols. This could include graphs, charts, or any other form of visual representation.
5. **Logging and Debugging**: Include logging and debugging features to help users understand why certain protocols fail or behave unexpectedly.
6. **Security Measures**: Since security is a key aspect of sandboxing, ensure that your application has robust security measures to prevent any malicious activities.
7. **Documentation**: Provide comprehensive documentation explaining how to use 'AirSandbox', including examples of common Airalogy protocols and how they can be executed.

The 'airalogy-engine' package should be utilized extensively throughout the development process, particularly in the execution of protocols within the sandboxed environment. This will involve understanding the package's API and integrating it seamlessly into the application's workflow.