🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low direct risks such as network calls, shell execution, or obfuscation. However, the incomplete maintainer information and lack of a linked GitHub repository raise concerns about its legitimacy.

Incomplete maintainer information
No linked GitHub repository

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 immediate risk of unauthorized system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, suggesting legitimate usage without secret theft.
Metadata: The package has no associated GitHub repository and the maintainer information is incomplete, which raises some suspicion but not enough to definitively conclude malice.

🔬 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 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 agent-webui

Create a mini-application called 'AI Assistant Dashboard' using the Python package 'agent-webui'. This application will serve as a user-friendly interface for managing and interacting with various AI agents that follow Pydantic models. The goal is to allow users to easily create, configure, and manage AI agents through a web-based UI. Here are the steps and features you should include:

1. **Setup**: Install necessary packages including 'agent-webui', 'pydantic', and any other dependencies required for your project.
2. **Define Agents**: Define at least three different types of AI agents (e.g., Customer Service Bot, Personal Assistant, Data Analyst) each following a Pydantic model. Each agent should have unique attributes and methods relevant to its role.
3. **Web Interface Creation**: Use 'agent-webui' to create a web interface where users can:
- Select which type of AI agent they want to use or create.
- Configure settings for their chosen agent (such as name, specific roles, and preferences).
- Interact with the agent (send messages, commands, etc.).
4. **Interaction Mechanism**: Implement a mechanism for users to interact with the selected agent via the web interface. For example, users could send questions or commands to the agent, and receive responses based on the agent's predefined capabilities.
5. **Agent Management**: Allow users to save, edit, and delete their AI agents within the dashboard.
6. **User Authentication**: Integrate basic user authentication to ensure that each user can only manage their own set of AI agents.
7. **Testing and Documentation**: Provide comprehensive testing for all functionalities and document the setup process, usage instructions, and API details for future reference.

This project aims to showcase the flexibility and power of 'agent-webui' in building complex yet intuitive interfaces for managing AI entities.