🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all assessed categories and does not exhibit any signs of malicious activity or supply-chain attacks.

No network calls or shell executions detected.
Maintainer has only one package on PyPI, which may suggest a new or less active account.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell executions detected, indicating no immediate risk of command injection or execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Metadata: The maintainer has only one package on PyPI, which might indicate a new or less active account.

🔬 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: esrf.eu

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository oasys-kit/OASYS2-SHADOW4 appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "M. Sanchez del Rio, L. Rebuffi" 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 OASYS2-SHADOW4

Develop a fully-functional mini-app using the OASYS2-SHADOW4 package to simulate and visualize light propagation through optical systems. Your application should allow users to input basic parameters of optical components such as mirrors, lenses, and beam splitters, and then use OASYS2-SHADOW4 to calculate and display the resulting light paths and intensity distributions.

Step-by-Step Guide:
1. Begin by setting up a Python environment with all necessary dependencies including OASYS2-SHADOW4 installed.
2. Design a user-friendly GUI interface where users can specify the type of optical component, its dimensions, and other relevant parameters.
3. Implement functionality within your app to parse these inputs and pass them to OASYS2-SHADOW4 for simulation.
4. Integrate a visualization component that can graphically represent the results of the simulation, showing both the path of the light and any intensity variations.
5. Include options for users to save their simulations as files or export visualizations as images.
6. Add documentation and comments throughout your code to ensure clarity and ease of future modifications.

Suggested Features:
- Support for multiple types of optical components (mirrors, lenses, etc.)
- Real-time feedback on simulation progress
- Export options for results and visualizations
- User guides and examples to help beginners understand the tool

How to Utilize OASYS2-SHADOW4:
- Use OASYS2-SHADOW4's widgets to facilitate easy parameter input for complex simulations.
- Leverage its simulation capabilities to accurately model light behavior through specified optical setups.
- Employ its graphical output tools to generate insightful visual representations of simulation outcomes.