MUSE-OS

v1.6.0 suspicious
4.0
Medium Risk

Energy System Model

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package MUSE-OS v1.6.0 shows low risks in network, shell execution, obfuscation, and credential handling, but metadata issues raise suspicion. Further investigation into the author's background and package usage context is recommended.

  • Metadata risk due to author details being incomplete or minimal
  • Single package from an author potentially indicating less community involvement
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of malicious activity.
  • Shell: The shell execution pattern is likely benign, used for running tutorial scripts locally but should be reviewed for its context and permissions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
  • Metadata: The package has some red flags such as an author with a missing or short name and an author with only one package, but no typosquatting or suspicious links were detected.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ls.py").exists(): subprocess.call([sys.executable, str(tutorial / "generate_models.py")]) imp
✓ 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

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

  • 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 MUSE-OS 
Create a web-based energy system simulation tool using the Python package 'MUSE-OS'. This tool will allow users to model different scenarios of energy production and consumption within a specified region over a period of time. The application should provide a user-friendly interface where users can input various parameters such as population growth, economic development, and technological advancements, which will affect energy demand and supply.

Key Features:
1. User Registration and Login: Allow users to create accounts and log in to save their simulations.
2. Scenario Creation: Users should be able to define multiple scenarios by adjusting factors like renewable energy sources, fossil fuels usage, and energy efficiency measures.
3. Simulation Execution: Utilize MUSE-OS to run simulations based on user inputs. Display results in real-time graphs showing changes in energy mix, CO2 emissions, and energy costs.
4. Results Visualization: Provide interactive charts and maps to visualize the outcomes of each scenario, including projected energy demand, installed capacity, and environmental impact.
5. Comparison Tool: Enable users to compare different scenarios side-by-side to understand the implications of various policy choices.
6. Export Functionality: Allow users to export simulation results in PDF or CSV format for further analysis.

Utilization of MUSE-OS: Integrate MUSE-OS into your backend logic to handle the complex calculations and modeling required for energy system simulations. Use its APIs or command-line interfaces to execute simulations and retrieve results, which can then be processed and displayed through your web application.