AI Analysis
Final verdict: SUSPICIOUS
The package is flagged as suspicious due to its incomplete metadata and lack of development activity, despite showing low technical risks like no network calls or shell execution.
- missing repository
- single release
- author with limited activity
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 immediate risk of command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no attempt to steal secrets.
- Metadata: The package shows several red flags including a missing repository, a single release, and an author with limited activity.
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: agentic-commons.org>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor name is missing or very shortAuthor "" 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 agentic-commons-cli
Create a fully functional mini-application using the 'agentic-commons-cli' package. This application will serve as a command-line interface (CLI) tool for managing personal tasks and notes. It should allow users to add, delete, update, and view their tasks and notes efficiently. Hereβs a detailed breakdown of the functionalities and steps to implement them: 1. **Project Setup**: Begin by setting up your Python environment. Ensure you have Python installed, then create a virtual environment for your project. Install the 'agentic-commons-cli' package from its repository once it's available. 2. **Application Structure**: Organize your project into modules for better maintainability. Have a module for handling user input and commands, another for interfacing with the 'agentic-commons-cli', and a final one for data storage and retrieval. 3. **Core Features**: - **Add Task/Note**: Implement a feature where users can add new tasks or notes. Each task or note should have a unique identifier, title, description, and due date. - **View Tasks/Notes**: Provide functionality for users to view all their tasks or notes. Additionally, allow filtering based on specific criteria such as due dates or titles. - **Update Task/Note**: Users should be able to modify existing tasks or notes by changing any of the fields like title, description, or due date. - **Delete Task/Note**: Allow users to remove tasks or notes they no longer need. 4. **Integration with 'agentic-commons-cli'**: Utilize the 'agentic-commons-cli' package to enhance the user experience. For example, use its capabilities to provide more interactive command-line interfaces, integrate with external services for task synchronization, or leverage its advanced logging and error handling features. 5. **Testing**: Write unit tests for each function to ensure reliability. Test scenarios include adding a task, viewing all tasks, updating a task, deleting a task, and ensuring no errors occur during these operations. 6. **Documentation**: Create comprehensive documentation explaining how to install the application, the commands available, and examples of usage. Include screenshots or videos demonstrating the app in action. 7. **Deployment**: Prepare your application for deployment. Consider packaging it as a standalone executable or uploading it to a repository like PyPI for easy installation via pip. By following these steps, you'll develop a robust and user-friendly CLI tool that leverages the power of the 'agentic-commons-cli' package to manage personal tasks and notes.