AI Analysis
The package exhibits low individual risks across network, shell, obfuscation, and credential aspects but raises concerns due to metadata issues such as missing maintainer history and lack of a GitHub repository.
- Lack of maintainer history
- Absence of a GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The package shows several red flags including lack of maintainer history and absence of a GitHub repository, suggesting potential low quality or malicious intent.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
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 — 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
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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
Create a simple yet engaging command-line utility named 'HelloWorldAI' using the Python package 'aizp-runtime'. This utility will serve as an introductory example for understanding how to integrate AI functionalities into everyday applications. The primary goal of 'HelloWorldAI' is to greet users in various languages based on their input preferences, demonstrating the use of 'aizp-runtime' for basic AI runtime operations. ### Project Overview: - **Application Name:** HelloWorldAI - **Primary Functionality:** Greet users in different languages based on user input. - **Secondary Functionality:** Allow users to specify their preferred language for greetings. - **Additional Features:** - Display a random fact about the specified language after greeting. - Support multiple greetings styles (formal/informal). - Option to save user preferences for future sessions. ### Utilizing 'aizp-runtime': - Use 'aizp-runtime' to handle AI runtime tasks such as fetching language data and generating responses. - Implement a function within your application that leverages 'aizp-runtime' to dynamically select greetings based on the user's chosen language. - Integrate 'aizp-runtime' to provide additional context-specific information (e.g., facts about the language) to enhance user interaction. ### Steps to Build the Application: 1. **Setup Environment:** Ensure Python is installed on your system. Install necessary packages including 'aizp-runtime' via pip. 2. **Design User Interface:** Create a simple command-line interface allowing users to input their name and preferred language. 3. **Implement Core Functionality:** Write functions that utilize 'aizp-runtime' to fetch greetings and language facts. 4. **Enhance User Experience:** Add options for users to choose between formal and informal greetings, and to save their preferences. 5. **Testing:** Test the application thoroughly to ensure all functionalities work as expected. 6. **Documentation:** Provide clear instructions on how to run the application and a brief explanation of how 'aizp-runtime' is utilized. 7. **Deployment:** Share your code on GitHub and encourage others to contribute or use it as a learning resource.
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