AI Analysis
The package exhibits minimal risks in terms of network activity, shell execution, and code obfuscation. However, its metadata suggests low effort and potential lack of transparency, raising concerns about its authenticity and purpose.
- Metadata risk due to low effort and lack of transparency
- No significant technical risks identified
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns 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 package shows signs of low effort and potential lack of transparency, which raises some suspicion but not enough to conclusively determine malice.
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 fully-functional mini-application called 'HelloWorldZapper' using the Python package 'aizp-cli'. This application should serve as a fun, interactive way for users to send personalized 'hello world' messages to their friends or colleagues via email or SMS. The app should allow users to input the recipient's name, select a greeting style (formal, casual, humorous), choose the delivery method (email or SMS), and optionally attach a funny GIF or image related to the greeting. Utilize the core features of 'aizp-cli' to handle the message formatting and delivery process. Here are the steps to follow: 1. Install the 'aizp-cli' package and any additional required packages for email and SMS sending. 2. Design a simple user interface where users can enter the recipient's details and select options for the greeting. 3. Implement logic to format the 'hello world' message based on the selected greeting style and include any attached media. 4. Use 'aizp-cli' to prepare the message for delivery and then send it via the chosen method (email or SMS). 5. Add error handling to manage issues like invalid inputs or failed deliveries. 6. Ensure the application is well-documented and includes instructions for setup and usage. 7. Optionally, add features such as saving sent greetings in a local database or allowing users to schedule future greetings. This project aims to demonstrate the versatility of 'aizp-cli' while providing a practical and entertaining tool for everyday communication.
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