AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators with no network calls, shell executions, or obfuscation detected. The metadata risk is slightly elevated due to the author's single package history, but there is insufficient evidence to suggest a supply-chain attack.
- No network calls detected
- Single package from author increases metadata risk
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, suggesting legitimate code.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
- Metadata: The author has only one package, which may 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: underautomation.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository underautomation/Fanuc.py appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "UnderAutomation" 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 UnderAutomation.Fanuc
Your task is to develop a Python-based mini-application that interfaces with a Fanuc robot using the 'UnderAutomation.Fanuc' package. This application will serve as a basic yet functional tool for controlling and monitoring the robot's operations. Here’s a detailed breakdown of the project requirements and steps: 1. **Project Overview**: Your application should allow users to send simple commands to a Fanuc robot and receive status updates from it. It will include functionalities like moving the robot to predefined positions, checking the robot's current position, and handling any errors or warnings. 2. **Features**: - Command Interface: Users should be able to input commands such as 'MoveToPosition', 'CheckStatus', etc., through a simple command-line interface. - Position Control: Implement functions to move the robot to specific coordinates within its workspace. - Status Monitoring: Display real-time status updates of the robot, including its current position and operational state. - Error Handling: Ensure that the application gracefully handles any errors or warnings returned by the robot, providing clear feedback to the user. 3. **Utilizing 'UnderAutomation.Fanuc' Package**: - Initialize a connection to the Fanuc robot using the package’s initialization methods. - Use the provided API to send commands and receive responses from the robot. - Leverage the package’s error-handling mechanisms to manage communication issues effectively. 4. **Development Steps**: - Step 1: Set up your development environment with Python and install the 'UnderAutomation.Fanuc' package. - Step 2: Create a main function that initializes the connection to the robot and sets up the command-line interface. - Step 3: Implement individual functions for each supported command (e.g., move to position, check status). - Step 4: Integrate error handling to ensure robustness and reliability. - Step 5: Test the application thoroughly with various commands and scenarios to ensure functionality and stability. 5. **Additional Considerations**: - Include documentation comments in your code for clarity. - Provide a README file explaining how to run the application and use its features. - Consider adding logging capabilities to track application activity and errors.