🤖 AI Analysis

Final verdict: SAFE

The package appears to be a legitimate asynchronous Python client for the 1min.AI web interface with minimal risks identified. The primary concern lies in the metadata, indicating possible low activity and lack of maintainer details.

Network risk is typical for web API interactions
No evidence of shell execution, obfuscation, or credential harvesting

Per-check LLM notes

Network: The observed network patterns are typical for making HTTP requests, suggesting the package likely performs web API interactions.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No secret harvesting patterns detected, suggesting safe handling of credentials.
Metadata: The package shows signs of potential low activity and lack of maintainer details, raising concerns but not definitive proof of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

) self._session = aiohttp.ClientSession( headers={ "Content-Type
} async with aiohttp.ClientSession() as tmp: async with tmp.post( _
Path) -> None: async with aiohttp.ClientSession() as s: async with s.get(url) as r: r.ra

✓ 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 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 1minai-webapi

Create a fully-functional mini-app using the '1minai-webapi' Python package that integrates the 1min.ai web app's functionalities into a user-friendly interface. Your application should allow users to interact with the 1min.ai platform without needing to visit the website directly. Here’s a detailed breakdown of what your mini-app should accomplish:

1. **User Authentication**: Implement a login system where users can authenticate themselves via their 1min.ai credentials (username and password). Once authenticated, users should remain logged in across sessions.
2. **Task Management**: Users should be able to view, create, edit, and delete tasks within the 1min.ai framework through your mini-app. Ensure that these actions are reflected in real-time on the 1min.ai platform.
3. **Notifications**: Integrate a notification system that alerts users about task deadlines, updates, and other important events from their 1min.ai account.
4. **Customization**: Allow users to customize their dashboard by choosing which sections of their 1min.ai account they want to display prominently.
5. **Data Export**: Provide an option for users to export their task data as CSV files for backup or analysis purposes.

### Utilizing the '1minai-webapi' Package:
- Use the 'async' capabilities of the package to ensure smooth and responsive interactions with the 1min.ai API.
- Leverage the package’s async functions to manage multiple tasks simultaneously, improving the efficiency of your mini-app.
- Explore the package documentation to discover additional features and functionalities that could enhance your application's usability and appeal.

Your final product should be a standalone Python application that runs locally or on a server. It should include a simple yet effective UI for interacting with the 1min.ai platform, making it easy for users to manage their tasks efficiently.