🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all categories with only a slightly elevated metadata risk due to the maintainer having only one other package on PyPI. This does not conclusively point towards malicious activity.

No network calls detected
No shell execution patterns
No obfuscation or credential harvesting

Per-check LLM notes

Network: No network call patterns detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author has only one package on PyPI, which may indicate a new or less active maintainer, raising some suspicion but not enough to confirm malicious intent.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

9 type-annotated function signatures (partial)

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 100 commits in CCL-Electronics-Ltd/aioccl
Single author but highly active (100 commits)

🔬 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

Repository CCL-Electronics-Ltd/aioccl appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "fkiscd" 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 aioccl

Create a real-time chat application using the 'aioccl' Python library, which interacts with a CCL API server to facilitate communication between users. This application will allow users to create chat rooms, join existing ones, send messages, and receive notifications of new messages in real-time. Here’s a detailed breakdown of the steps and features you need to implement:

1. **Setup**: Install the required packages including 'aioccl'. Set up a basic Flask web server to handle HTTP requests.
2. **User Authentication**: Implement a simple user registration and login system where users can sign up and log in to access chat functionalities.
3. **Chat Room Management**: Allow users to create chat rooms with unique names. Ensure that only authenticated users can create or join chat rooms.
4. **Real-Time Messaging**: Utilize the 'aioccl' library to establish WebSocket connections between the client and the server. Enable users to send text messages to the server, which then broadcasts these messages to all connected clients in the same chat room.
5. **Message Notification**: When a user sends a message, notify other users in the chat room about the new message. This can be achieved by sending push notifications or updating a message count badge.
6. **Persistent Storage**: Save all chat history in a database so that users can view past conversations even if they leave and rejoin the chat room.
7. **Security Measures**: Implement basic security measures such as data encryption for messages and secure storage of user credentials.
8. **UI/UX Design**: Develop a simple yet intuitive frontend using HTML/CSS/JavaScript. The UI should allow users to navigate between different chat rooms, see who else is online, and interact with the messaging system easily.

Throughout the development process, make sure to thoroughly test each feature to ensure reliability and performance. The 'aioccl' library will primarily be used for setting up WebSocket connections and handling asynchronous communication between the server and clients.