ansys-workbench-core

v0.14.0 suspicious
5.0
Medium Risk

A python wrapper for Ansys Workbench

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential network and shell execution vulnerabilities. While there are no clear signs of malicious intent, the incomplete metadata raises concerns about transparency.

  • network risk from urllib usage
  • high shell risk from subprocess execution
Per-check LLM notes
  • Network: The use of urllib to download files might be legitimate for fetching necessary resources but should be reviewed for secure handling and legitimacy of URLs.
  • Shell: Executing shell commands using subprocess can pose significant risks including unauthorized access and command injection if not properly sanitized or managed.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, which may indicate a lack of transparency, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://workbench.docs.pyansys.com
  • Detailed PyPI description (3878 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 10 unique contributor(s) across 100 commits in ansys/pyworkbench
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ownload the file with urllib.request.urlopen(url) as in_stream: # nosec: B310 if in_
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • led env process = subprocess.Popen( args, stdout=subprocess.PIPE, stderr=subpro
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: ansys.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ansys/pyworkbench appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 ansys-workbench-core 
Create a mini-application named 'AnsysWorkbenchAutomation' using Python and the 'ansys-workbench-core' package. This application aims to automate the process of setting up and running simulations within Ansys Workbench, making it easier for engineers to perform repetitive tasks without manual intervention.

The application should have the following core functionalities:
1. **Project Creation**: Allow users to create new Ansys Workbench projects from templates or custom configurations.
2. **Component Addition**: Add different types of components (e.g., Fluent, Mechanical) to the project based on user input.
3. **Parameter Setting**: Set simulation parameters such as material properties, boundary conditions, and mesh settings programmatically.
4. **Simulation Execution**: Run the simulation and monitor its progress through the application.
5. **Result Analysis**: Once the simulation is complete, extract key results (e.g., stress distribution, flow velocity) and display them in a readable format.
6. **Report Generation**: Generate a comprehensive report summarizing the simulation setup and results, including charts and graphs where applicable.

To achieve these goals, you will utilize the 'ansys-workbench-core' package to interact with the Ansys Workbench API. This involves importing necessary modules from the package, defining functions for each of the above steps, and structuring the application to provide a seamless user experience.

Additionally, consider adding advanced features such as:
- **User Interface**: Develop a simple GUI using Tkinter or PyQt to make the application more user-friendly.
- **Configuration Management**: Allow users to save and load project configurations for future use.
- **Error Handling**: Implement robust error handling mechanisms to ensure the application remains stable even when encountering unexpected issues.
- **Logging**: Include logging capabilities to track the application's actions and potential errors for debugging purposes.

Your task is to write a detailed plan for the application, followed by the actual implementation code. Ensure your code is well-documented and includes comments explaining how each part interacts with the 'ansys-workbench-core' package.

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