🤖 AI Analysis

Final verdict: SUSPICIOUS

The package presents minimal direct risks, but the maintainer's limited history and low activity level raise concerns about potential supply-chain risks.

Metadata risk due to low maintainer activity
Limited historical context for the package maintainer

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 immediate signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low activity and the maintainer has limited history with PyPI, raising some suspicion but not conclusive evidence of malintent.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Zachary Vorhies" 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 advanced-askai

Create a command-line utility named 'AskAIHelper' using the 'advanced-askai' package. This utility will allow users to interact with AI services directly from their terminal, enabling them to ask complex questions and receive detailed responses. The app should have the following core functionalities:

1. **Question Input**: Users should be able to input their questions either through direct command-line input or by reading questions from a file.
2. **Configuration Management**: Implement a configuration file (e.g., `config.yaml`) where users can specify API keys, preferred AI services, and other settings.
3. **Response Handling**: The utility should handle different types of responses gracefully, formatting them appropriately for display on the terminal. For example, if the response includes links, they should be highlighted or listed separately.
4. **History Logging**: Maintain a log of previous interactions (questions and answers) in a local file for future reference.
5. **Interactive Mode**: Provide an interactive mode where users can ask multiple questions in succession without restarting the program.
6. **Error Handling**: Ensure that the utility provides informative error messages when it encounters issues such as invalid inputs, network errors, or API limitations.
7. **Custom Commands**: Allow users to define custom commands that trigger specific actions within the utility, like fetching the latest news, weather updates, or performing calculations.

To utilize the 'advanced-askai' package, you'll need to integrate its core functionalities into your utility. Specifically, you should leverage its ability to connect to various AI services, process natural language queries, and format the responses for command-line output. Additionally, explore any additional features provided by the package that could enhance the user experience or extend the functionality of your utility.