🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activities such as network calls, shell executions, or credential harvesting. The metadata risk is slightly elevated due to the maintainer having only one package, but this alone does not suggest a supply-chain attack.

No network calls detected
Single package maintained by the author

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution detected, indicating no direct system command execution.
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 might indicate a new or less active account, but there are no other red flags.

🔬 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: 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 aedev-namespace-root-tpls

Create a mini-application called 'Namespace Manager' which helps developers manage their Python namespace packages more efficiently. This application will utilize the 'aedev-namespace-root-tpls' package to generate and manage template files for namespace root projects. Here’s a step-by-step guide on what your application should do:

1. **Project Initialization**: Allow users to initialize a new namespace root project by specifying the desired namespace name (e.g., mycompany.mynamespace). Use 'aedev-namespace-root-tpls' to generate the necessary directory structure and managed files based on the provided namespace.
2. **Template Customization**: Provide an interface for users to customize the generated template files according to their needs. Users should be able to add, modify, or delete content within these templates without affecting the original package.
3. **Dependency Management**: Integrate functionality to automatically add common dependencies to the project's setup.py file based on user preferences (e.g., packaging, testing, documentation tools).
4. **Version Control Integration**: Ensure that the Namespace Manager can interact with version control systems like Git to initialize repositories and commit changes made during project setup.
5. **Documentation Generation**: Automatically generate basic documentation for the project using tools like Sphinx, and allow users to customize this documentation further if needed.
6. **Testing Setup**: Set up initial testing configurations using popular frameworks such as pytest or unittest, allowing users to run tests directly from the command line after project initialization.
7. **User Interface**: Develop a simple yet intuitive command-line interface (CLI) for interacting with the Namespace Manager, making it easy for users to perform all the above tasks with minimal effort.
8. **Advanced Features**: Consider adding advanced features such as integration with continuous integration/continuous deployment (CI/CD) platforms, automatic code formatting, and linting.

In each of these steps, ensure that you leverage the capabilities of the 'aedev-namespace-root-tpls' package to streamline the process of setting up and managing namespace root projects. Your goal is to make it as seamless and efficient as possible for developers to start working with namespace packages.