AI Analysis
The package exhibits low risks in terms of network, shell, and obfuscation activities. However, the metadata quality and maintainer activity levels raise some concerns, warranting further investigation.
- Metadata risk due to poor maintainer activity
- Low quality metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (22348 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
30 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: example.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Telegram bot using Python that leverages the 'aiogram-smart-messages' package to enhance user interaction through smart messages and dynamic keyboard generation. This bot will serve as a simple task manager where users can create tasks, set reminders, and receive notifications. The core functionalities include: 1. **Task Creation**: Users can create new tasks by sending a command like '/add_task <task_description>'. The bot should then display a confirmation message with a smartly rendered message and a keyboard option to confirm or cancel the task. 2. **View Tasks**: Users can view all their current tasks by sending '/view_tasks'. The bot should return a list of tasks with options to edit or delete each task directly from the message. 3. **Set Reminders**: Users can set reminders for specific tasks by sending '/set_reminder <task_id> <reminder_time>'. The bot should send a notification at the specified time reminding the user about the task. 4. **Edit Tasks**: Users can edit existing tasks by sending '/edit_task <task_id> <new_description>'. The bot should provide a confirmation message with a smartly rendered message and a keyboard option to confirm the changes. 5. **Delete Tasks**: Users can delete tasks by sending '/delete_task <task_id>'. The bot should confirm the deletion with a smartly rendered message and a keyboard option to proceed or cancel. The 'aiogram-smart-messages' package will be used extensively to handle message rendering and keyboard building. For instance, when a user creates a task, the bot will use the package to render a confirmation message with buttons to confirm or cancel the action. Similarly, when listing tasks, the package will help in dynamically generating a keyboard with options to interact with each task. Additionally, explore the JSON loader feature of the package to store and load task data efficiently. Use JSON files to save tasks and their details, allowing the bot to maintain state between sessions. This project aims to demonstrate the power and flexibility of 'aiogram-smart-messages' in building interactive and user-friendly Telegram bots.
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