🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks with no network or shell activities observed. While there are some concerns regarding low maintainer effort and missing author information, these do not conclusively suggest malicious intent.

No network calls detected
No shell executions detected
Low maintainer effort and missing author link

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell executions detected, indicating no direct command execution from the package.
Metadata: The package shows signs of low maintainer effort and lacks a proper author link, which raises some concerns but does not strongly indicate malice.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (2169 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 5.0

Partial type annotation coverage

26 type-annotated function signatures detected in source

○ 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: uni.lu>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 aisc-plugin-interface

Create a mini-application named 'AISC Plugin Manager' using Python that leverages the 'aisc-plugin-interface' package. This application will serve as a plugin management system for the AISC evaluation framework, allowing users to easily manage, install, and uninstall plugins. Here’s a step-by-step guide on what your application should achieve:

1. **Setup**: Start by setting up a virtual environment and installing the 'aisc-plugin-interface' package along with any other necessary dependencies.
2. **Plugin Repository**: Integrate a local or remote plugin repository where the application can fetch available plugins for installation.
3. **User Interface**: Design a simple yet intuitive user interface (CLI or GUI) that allows users to view installed plugins, search for new plugins, and manage their installations.
4. **Installation/Uninstallation**: Implement functionalities to install and uninstall plugins from the repository directly through the user interface.
5. **Configuration Management**: Allow users to configure settings for each plugin and save these configurations persistently.
6. **Dependency Handling**: Ensure that the application can handle dependencies of plugins, automatically resolving and installing them when needed.
7. **Logging and Notifications**: Incorporate logging and notification features to inform users about the status of plugin operations and any issues encountered.
8. **Security Measures**: Add basic security measures such as validating plugin sources and ensuring that only trusted plugins are installed.
9. **Testing**: Develop a suite of tests to validate the functionality of your application and ensure it works as expected under various conditions.

Throughout the development process, utilize the 'aisc-plugin-interface' package to interact with the AISC evaluation framework, leveraging its capabilities to streamline the integration and management of plugins within your application.