🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no immediate malicious indicators such as network calls or shell executions. However, its metadata suggests it is newly created with limited information about maintainers, raising suspicion.

Metadata risk due to new package creation
Lack of detailed maintainer information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communication.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Metadata: The package shows signs of being newly created and lacks detailed maintainer information, which raises some suspicion.

🔬 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 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
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 afac

Create a mini-application called 'TaskMaster' using the Python package 'afac'. TaskMaster will serve as a personal task management system that allows users to create, view, update, and delete tasks. It should also support categorizing tasks into different lists (e.g., Work, Personal, Study). This application will demonstrate the full-stack capabilities of 'afac', showcasing its ability to handle both frontend and backend operations seamlessly and efficiently.

The core functionalities of TaskMaster include:
1. User Authentication: Implement a simple login/signup feature where users can register and log in to their accounts. Use 'afac' to manage user sessions and authentication processes.
2. Task Management: Users should be able to add new tasks, mark them as completed, and delete them. Each task should have a title, description, due date, and category.
3. Category Management: Allow users to create, edit, and delete categories. Categories should be linked to tasks for better organization.
4. Real-time Updates: Utilize 'afac' to ensure real-time updates across all clients when a task or category is modified.
5. Cross-platform Compatibility: Ensure that TaskMaster works seamlessly on web browsers and mobile devices, highlighting 'afac's cross-platform support.

Your task is to design and implement TaskMaster from scratch, utilizing 'afac' for all aspects of the application, including database management, frontend rendering, and backend logic. Provide a brief explanation of how each 'afac' feature is utilized in your implementation.