AI Analysis
The package exhibits low individual risks across network, shell, obfuscation, and credential fronts but has a moderate metadata risk due to low maintenance and effort. This combination warrants further investigation to rule out potential supply-chain attacks.
- Low network, shell, obfuscation, and credential risks
- Moderate metadata risk due to low maintenance and effort
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities such as command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
- Metadata: The package shows low maintenance and effort, which could indicate potential risks.
Package Quality Overall: Low (3.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (16623 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor "ana-and-new-team authors" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a fully functional mini-application that leverages the 'ana-and-new-team' package to manage and deliver Jakarta EE projects via slash commands. This application will serve as a command-line interface (CLI) tool for developers to interact with their Jakarta EE projects more efficiently. Hereβs a detailed breakdown of the project requirements and features: 1. **Project Setup**: Initialize your project by installing the necessary dependencies, including the 'ana-and-new-team' package. 2. **Slash Command Interface**: Implement a user-friendly CLI where users can input slash commands (e.g., '/start', '/build', '/deploy') to interact with the application. 3. **Core Features**: - **/start**: Initializes a new Jakarta EE project using templates provided by the 'ana-and-new-team' package. - **/build**: Compiles the project code into a distributable format. - **/deploy**: Deploys the compiled project to a specified environment using the deployment mechanisms supported by 'ana-and-new-team'. 4. **Advanced Features**: - **/status**: Provides real-time status updates on the project's build and deployment processes. - **/logs**: Displays logs from the most recent build or deployment process for troubleshooting purposes. 5. **Integration**: Ensure seamless integration with existing development workflows by allowing customization of settings through a configuration file. 6. **Documentation**: Provide comprehensive documentation detailing how to install, configure, and use the application effectively. Your task is to create a step-by-step guide for setting up this application, explaining how each feature works, and demonstrating its usage with examples. Focus on making the application intuitive and easy to integrate into daily development routines.
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