axiom-ext-openmc

v0.1.0 suspicious
4.0
Medium Risk

OpenMC physics-code extension for the Axiom platform

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is flagged as suspicious due to the execution of shell commands, which could potentially be exploited for malicious purposes. However, there are no immediate signs of other risks such as obfuscation, credential theft, or network calls.

  • Shell risk detected
  • New maintainer with only one version released
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: The package executes shell commands which may be legitimate for its functionality but requires further investigation to ensure it's not being used maliciously.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or sensitive information being stolen.
  • Metadata: Low risk due to lack of suspicious flags, but caution advised as the maintainer is new and has not released multiple versions.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_adapter.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7636 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 8 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • import subprocess proc = subprocess.run(["openmc"], capture_output=True, text=True) if proc.retu
  • le", "openmc") proc = subprocess.run( [executable], cwd=input_dir,
  • ] proc = subprocess.run( cmd, capture_output=True,
  • False try: proc = subprocess.run( ["docker", "info"], capture_output=True, timeou
  • d.""" try: proc = subprocess.run( ["docker", "image", "inspect", "openmc/openmc:l
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: b-tree-labs.dev>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "The University of Texas at Austin" 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 axiom-ext-openmc 
Develop a fully-functional mini-application that simulates neutron transport in a simple nuclear reactor geometry using the 'axiom-ext-openmc' Python package. This application will serve as an educational tool to demonstrate basic principles of neutron transport in nuclear reactors. Here are the steps and features you should include:

1. **Project Setup**: Initialize a new Python project. Ensure all necessary dependencies, including 'axiom-ext-openmc', are installed.
2. **Geometry Definition**: Define the geometry of a simplified nuclear reactor model. Include at least one fuel rod, coolant channel, and reflector material. Use the 'axiom-ext-openmc' package to define these components accurately.
3. **Material Composition**: Assign appropriate materials to each component of the reactor. Utilize 'axiom-ext-openmc' to specify isotopic compositions and density values for these materials.
4. **Simulation Parameters**: Set up simulation parameters such as energy range, time steps, and source conditions. Use 'axiom-ext-openmc' functionalities to configure these parameters effectively.
5. **Running Simulations**: Implement functionality to run multiple simulations with varying parameters to observe changes in neutron flux distribution. Utilize 'axiom-ext-openmc' to execute these simulations efficiently.
6. **Visualization**: Develop a visualization module to display the results of the simulations. This could include graphs showing neutron flux distribution across different parts of the reactor. Use matplotlib or any other suitable library for plotting, but ensure 'axiom-ext-openmc' data is correctly processed and visualized.
7. **User Interface**: Create a simple command-line interface (CLI) where users can input parameters for the simulation and view results. Enhance user interaction by providing clear instructions and feedback messages.
8. **Documentation**: Write comprehensive documentation detailing how to install and use the application. Include examples of different simulation setups and their corresponding outputs.

By following these steps, your application will not only utilize the core features of the 'axiom-ext-openmc' package but also provide valuable insights into neutron transport in nuclear reactors, making it a useful educational tool.

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