AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity, with low scores for both obfuscation and credential risks. However, the metadata risk is slightly elevated due to the maintainer's inexperience.
- No obfuscation patterns detected
- No credential harvesting patterns detected
- Single package from maintainer with minimal metadata
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a single package and lacks PyPI classifiers, suggesting low effort or inexperience which could indicate potential risks.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (6572 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "MikioNatsu" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aio-kb
Your task is to create a Telegram bot using Python that leverages the 'aio-kb' package to manage user interactions through a keyboard interface. This bot will serve as a simple task manager where users can add tasks, view their tasks, mark tasks as completed, and delete tasks. Here’s a detailed breakdown of the requirements and steps to achieve this project: 1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed, and install necessary packages such as aiogram and aio-kb. Also, create a new Telegram bot through BotFather to get your API token. 2. **Bot Initialization**: Initialize your bot using aiogram and integrate it with aio-kb for handling inline keyboards. 3. **User Authentication**: Implement a basic authentication system where users must start by sending '/start' command to register themselves with the bot. After registration, they receive a unique user ID which will be used to store their tasks. 4. **Task Management Interface**: Design a main menu with aio-kb that allows users to select actions such as adding a new task, viewing their current tasks, marking tasks as completed, and deleting tasks. 5. **Adding Tasks**: When a user selects 'Add Task', the bot should respond with an inline keyboard asking for more details about the task (e.g., task description, due date). Use aio-kb to handle these interactions efficiently. 6. **Viewing Tasks**: For the 'View Tasks' option, the bot should display all tasks associated with the user, along with options to edit or delete each task using inline buttons managed by aio-kb. 7. **Marking Tasks as Completed**: Allow users to mark any of their tasks as completed directly from the view screen. Once marked, the task status should be updated accordingly. 8. **Deleting Tasks**: Provide functionality for users to delete specific tasks if they no longer need them. 9. **Persistent Storage**: Ensure that all tasks are stored persistently. You may use SQLite for this purpose. 10. **Testing and Deployment**: Test your bot thoroughly to ensure all functionalities work as expected. Finally, deploy your bot on a server so it remains active even when your local machine is off. Throughout the development process, focus on utilizing aio-kb effectively to enhance user interaction through dynamic keyboard responses. Your goal is to create a seamless and intuitive experience for managing tasks via Telegram.