SCOPE-RTM

v0.4.13 safe
3.0
Low Risk

PyTorch reimplementation of the SCOPE radiative transfer model.

🤖 AI Analysis

Final verdict: SAFE

The package does not exhibit any high-risk behaviors such as network calls, shell executions, or obfuscation techniques. While the metadata suggests a new or less active maintainer and limited community engagement, these factors alone do not strongly indicate malicious intent.

  • No network calls detected
  • Low obfuscation risk
  • Minimal credential risk
  • New or less active maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package relies on external services.
  • Shell: Git operations and Python execution from within the package may indicate legitimate functionality but warrant further investigation to ensure there's no unexpected behavior.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer appears to be new or inactive, and the repository lacks community engagement.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • n / ".git").exists(): subprocess.run( ["git", "clone", repo_url, str(destination)],
  • check=True, ) subprocess.run( ["git", "-C", str(destination), "fetch", "--depth",
  • check=True, ) subprocess.run( ["git", "-C", str(destination), "checkout", commit]
  • le() -> bool: completed = subprocess.run( [sys.executable, "-c", "import scope"], cwd
  • eam_scope.py" completed = subprocess.run( [sys.executable, str(script), "--help"], cw
  • ope_input.py" completed = subprocess.run( [sys.executable, str(script), "--help"], cw
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ 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 2.0

1 maintainer concern(s) found

  • Author "Marc Yin" 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 SCOPE-RTM 
Your task is to develop a fully functional mini-application using the SCOPE-RTM package, which is a PyTorch reimplementation of the SCOPE radiative transfer model. This application will simulate atmospheric radiative transfer processes and provide visual outputs of the simulated radiation fluxes across different atmospheric conditions. The goal is to create an intuitive tool for researchers and students to understand and visualize the impact of various atmospheric parameters on solar radiation.

Here’s a step-by-step guide on what your application should include:
1. **Setup Environment**: Ensure you have Python installed along with necessary dependencies such as PyTorch and SCOPE-RTM. Use pip or conda to install these packages.
2. **User Interface**: Develop a simple yet user-friendly interface where users can input various atmospheric parameters such as temperature, pressure, humidity, and aerosol content. Consider using libraries like PyQt5 or Streamlit for this purpose.
3. **Model Integration**: Integrate the SCOPE-RTM package into your application. Utilize its capabilities to calculate the radiative transfer through the atmosphere based on the user inputs.
4. **Visualization**: Implement visualization features to display the calculated radiation fluxes. You could use matplotlib or seaborn for plotting graphs showing how radiation changes at different altitudes or over time.
5. **Scenario Analysis**: Allow users to run multiple scenarios by varying one or more parameters while keeping others constant. This helps in understanding the sensitivity of radiation fluxes to specific atmospheric conditions.
6. **Documentation and Help**: Provide clear documentation within the application explaining how to use it and what each parameter means. Include tooltips or a help section accessible from the main menu.
7. **Export Options**: Enable users to export their simulation results in common file formats such as CSV or PNG for further analysis or presentation purposes.

By following these steps, your application will serve as an educational and research tool, demonstrating the practical application of the SCOPE-RTM model in simulating atmospheric radiative transfer.

💬 Discussion Feed

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