AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and its functionality aligns well with its description. The slight increase in metadata risk due to the maintainer's limited package history is noted but not enough to classify it as suspicious.
- No network or shell risks detected
- Low obfuscation and credential risk
- Maintainer has limited package history
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require external API access.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical for a utility-focused tool.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which could indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
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 basanta-bhandari/pymodoro appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Basanta Bhandari" 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 Pymodoro-B1
Your task is to develop a fully-functional Pomodoro timer application named 'FocusMaster' utilizing the Python package 'Pymodoro-B1'. This application will serve as a productivity tool for users who wish to manage their time more effectively through the Pomodoro Technique. Hereβs a detailed breakdown of what your application should achieve: 1. **Setup and Initialization**: Start by installing 'Pymodoro-B1' in your Python environment. Ensure you import all necessary modules from the package at the beginning of your script. 2. **User Interface**: Design a simple yet effective command-line interface (CLI) where users can interact with the application. Users should be able to start, stop, and pause the timer easily. 3. **Timer Configuration**: Allow users to configure the default Pomodoro intervals (work, short break, long break) according to the standard Pomodoro Technique (25 minutes work, 5 minutes short break, 15 minutes long break after every 4 cycles). Additionally, provide options for customizing these intervals if desired. 4. **Notifications**: Implement a feature where the application notifies the user when a work session ends and a break begins. Notifications could be simple CLI messages or, if possible, extend this functionality to include desktop notifications using libraries such as `plyer`. 5. **Statistics Tracking**: Keep track of the number of completed Pomodoros and breaks taken throughout the day. Display these statistics at the end of each session or upon request from the user. 6. **Customization Options**: Provide additional customization options such as setting a specific start time for the Pomodoro sessions, choosing between different sound alerts, and allowing the user to save their settings for future use. 7. **Integration with External Tools**: As an advanced feature, explore integrating 'FocusMaster' with popular calendar applications (like Google Calendar) to automatically schedule Pomodoro sessions based on the user's availability. To utilize 'Pymodoro-B1', focus on leveraging its core functionalities to implement the timer mechanism. Make sure to document your code thoroughly, providing comments where necessary to explain complex logic or configurations. Your goal is to create an intuitive and efficient Pomodoro timer that enhances productivity without being overly complicated.