🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity or exploitation risks based on the provided analysis notes. The metadata risk is noted as minor and does not indicate any serious concerns.

No network calls detected.
No shell execution patterns found.
No obfuscation or credential harvesting attempts.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands that could be exploited.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The package has some minor issues but no strong indicators of malicious intent.

🔬 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: imperial.ac.uk>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://www.mujoco.org/

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 MyoSuite

Create a mini-application that simulates a simple human arm movement using the MyoSuite package. This application will allow users to input various parameters such as joint angles, muscle forces, and external forces to observe how these factors affect the motion of a musculoskeletal arm model in real-time. The application should include the following features:

1. **User Interface**: Develop a clean and intuitive GUI where users can input values for joint angles, muscle forces, and apply external forces. Include sliders and text boxes for easy manipulation.
2. **Simulation Engine**: Utilize MyoSuite's simulation capabilities to create a realistic model of a human arm. Ensure that the model accurately reflects the dynamics of muscles, bones, and joints based on the user inputs.
3. **Real-Time Visualization**: Implement a real-time visualization component where the user can see the arm moving according to their inputs. Use PyGame or a similar library for rendering the simulation.
4. **Parameter Adjustment Feedback**: Provide feedback to the user on how changes in parameters affect the arm's movement. For example, show how increasing muscle force impacts the speed and range of motion.
5. **Saving and Loading Scenarios**: Allow users to save their current simulation settings and load them later for further experimentation.
6. **Documentation**: Write clear documentation explaining how each feature works, how to install and run the application, and any limitations of the model.

The application should be built using Python and MyoSuite. Users should be able to install the necessary packages via pip and run the application from the command line or through the provided GUI.