🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of potential risk with no network calls, no obfuscation, and no evidence of credential harvesting. The shell execution risk is slightly elevated but does not indicate malicious intent.

No network calls detected.
Low obfuscation risk.
No credential harvesting detected.

Per-check LLM notes

Network: No network calls detected, which is typical and not indicative of malicious activity.
Shell: Shell execution is present but seems to be used for benign purposes like version checking or command execution. However, it could potentially be exploited if not properly sanitized.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low activity and metadata quality suggest potential low effort or inactivity, but not necessarily malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

.simulation] result = subprocess.run( cmd, shell=os.name == 'nt',
ns: str) -> str: result = subprocess.run( [executable, '-V'], shell=os.name == 'nt',
] subprocess.run( cmd, stdout=subproc
trftime("%Y/%j")}', ] subprocess.run( cmd, stdout=subprocess.DEVNULL, std

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Yuning Shi" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Cycles-utils

Create a Python-based application named 'CycleVisualizer' that leverages the 'Cycles-utils' package to automate the process of generating Cycles input files and analyzing their outputs. This tool aims to simplify the workflow for researchers and engineers working with complex simulations. Here’s a step-by-step guide on what your application should achieve:

1. **User Input Interface**: Design a simple command-line interface where users can input parameters necessary for their simulation, such as dimensions, material properties, and boundary conditions.
2. **Input File Generation**: Use 'Cycles-utils' to generate the appropriate input files based on user inputs. Ensure these files are structured correctly for Cycles software.
3. **Simulation Execution**: Integrate functionality to run the simulation using the generated input files. This might require invoking Cycles from within the Python script or through a system call.
4. **Output Analysis**: After the simulation completes, use 'Cycles-utils' to parse and analyze the output files. The application should be capable of extracting key performance indicators or results relevant to the simulation.
5. **Visualization**: Implement a feature to visualize the extracted data. This could include plotting graphs, charts, or other visual representations to help users understand the simulation outcomes more intuitively.
6. **Report Generation**: Finally, the application should be able to generate a comprehensive report summarizing the simulation setup, inputs, outputs, and visualizations. This report should be easily readable and formatted for clarity.

Suggested Features:
- Allow customization of visualization styles and report formats.
- Include error handling to manage issues during file generation or simulation execution.
- Provide a help menu with examples and usage instructions.
- Enable saving and loading of previous simulation setups for quick reuse.

The 'Cycles-utils' package will be utilized throughout the project for tasks like parsing and formatting input/output files, which are critical steps in the simulation workflow. By leveraging this package, you'll streamline the process and ensure accuracy in file handling.