🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk is moderately high due to the maintainer's new or inactive account and missing repository, raising suspicions about potential supply-chain attacks.

Metadata risk due to new/inactive maintainer account
Repository not found

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 activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has a new or inactive account and the repository is not found, which raises some concerns. However, there's no clear indication of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (139584 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 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: uezo.net

⚠ Suspicious Page Links score 10.0

Found 9 suspicious link(s) on the package page

Non-HTTPS external link: http://127.0.0.1:8000/static/index.html
Non-HTTPS external link: http://127.0.0.1:8000/static/mpt.html
Non-HTTPS external link: http://127.0.0.1:8000/admin.
Non-HTTPS external link: http://127.0.0.1:50021/speakers
Non-HTTPS external link: http://127.0.0.1:10101
Non-HTTPS external link: http://127.0.0.1:5000/voice

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "uezo" 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 aiavatar

Create a personalized virtual assistant application using the 'aiavatar' package in Python. This application will serve as a user-friendly interface where users can interact with a conversational avatar, which is capable of understanding and responding to text-based queries and commands. The goal is to develop a versatile assistant that can provide information, answer questions, and even engage in casual conversations based on predefined rules or machine learning models.

Steps to follow:
1. Set up your development environment with Python installed and the 'aiavatar' package.
2. Design the conversational flow of the avatar using the 'aiavatar' package's capabilities for natural language processing (NLP).
3. Implement a graphical user interface (GUI) using a library like Tkinter or PyQt, where the avatar will appear as an animated character that can change expressions and gestures based on the conversation.
4. Integrate a text-to-speech engine to enable the avatar to speak its responses aloud.
5. Develop a backend system that processes user inputs and generates appropriate responses using the NLP capabilities provided by 'aiavatar'.
6. Add additional features such as weather updates, news summaries, or personal task management based on user preferences.
7. Test the application thoroughly to ensure smooth interactions and accurate responses from the avatar.
8. Deploy the application so it can be accessed via a desktop application or web browser.

Suggested Features:
- Personalization options for the avatar’s appearance and personality.
- Integration with external APIs for real-time data fetching (e.g., weather, news).
- Support for multiple languages.
- Voice recognition for hands-free interaction.
- Ability to save and recall past conversations.

How 'aiavatar' is utilized:
- Use 'aiavatar' to create and train the avatar's conversational model, ensuring it can understand various forms of input and generate contextually relevant responses.
- Leverage 'aiavatar' to animate the avatar's facial expressions and body movements in sync with the text-based conversation, making the interaction more engaging and lifelike.