AI Analysis
The package has low risks in terms of network, shell, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to suspicious non-HTTPS links and incomplete maintainer information, raising concerns about potential supply-chain attacks.
- Suspicious non-HTTPS links
- Incomplete maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: Suspicious non-HTTPS links and incomplete maintainer information suggest potential risk.
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://rubigram.ir/rubigram.jpgNon-HTTPS external link: http://rubigram.ir/doc
Repository DevJavad/rubigram appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a fully-functional mini-application using the 'RubigramClient' Python package. This application will serve as a chatbot for a fictional Rubika community, designed to assist members with various tasks and information retrieval. The bot will be capable of responding to user commands, managing group settings, and providing useful information such as weather updates, news headlines, and more. Hereβs a detailed breakdown of what your application should achieve: 1. **User Authentication**: Upon joining the chat, users should be prompted to authenticate themselves via a simple verification process. Use RubigramClient to handle the initial message and respond appropriately based on whether the user is authenticated or not. 2. **Command Handling**: Implement a command handler that allows users to send specific commands (e.g., /weather, /news, /help) to retrieve information or perform actions. Utilize RubigramClient's powerful message handling capabilities to detect these commands and execute the corresponding functions. 3. **Inline Buttons**: Integrate inline buttons into your bot to provide users with interactive options. For example, when a user requests weather updates, display an inline button that allows them to specify their location. Use RubigramClient's inline button feature to implement this. 4. **Custom Filters**: Apply custom filters to ensure that only certain types of messages trigger specific responses. For instance, filter out non-command messages to prevent unnecessary processing. Leverage RubigramClient's custom filter capabilities to set up these conditions. 5. **Group Management**: Enable the bot to manage group settings by allowing administrators to use commands like /mute, /ban, and /kick. Ensure that only authorized users can execute these commands. Use RubigramClient's group management features to enforce these rules. 6. **Logging and Analytics**: Implement logging to track user interactions and bot performance. Utilize RubigramClient's logging mechanisms to capture important events and metrics. 7. **Documentation**: Write comprehensive documentation detailing how to install and run the bot, including setup instructions and examples of how to extend its functionality. In your implementation, focus on utilizing RubigramClient's core features such as message handling, inline buttons, custom filters, and group management to create a robust and engaging chatbot experience. Your goal is to demonstrate proficiency in using the RubigramClient package while also delivering a practical and user-friendly application.