AI Analysis
The package has a moderate risk score due to its low maintenance status and potential shell execution risks. While there are no immediate signs of malicious activity, further investigation is warranted.
- Low metadata quality indicating possible lack of maintenance
- Potential misuse of shell execution capabilities
Per-check LLM notes
- Network: No network calls detected, which is normal and does not indicate any risk.
- Shell: Shell execution may be necessary for the package's functionality but requires scrutiny to ensure it's not being exploited for malicious purposes.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintenance and effort, which may indicate potential risk but lacks clear indicators of malicious intent.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (2990 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
17 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
in cmds: output = subprocess.run(cmd, cwd=cwd, **kwargs) if output.returncode !=
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gbrown.ca>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.gnu.org/licenses/
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'FlybySimulator' that allows users to simulate celestial body flybys using the 'airball' package. This application will enable users to input parameters such as masses, initial positions, and velocities of celestial bodies to simulate their interactions under gravitational forces. The app should provide a simple graphical user interface (GUI) built with PyQt5 or Tkinter for ease of use. Additionally, it should include features like saving simulation data to a file, loading previously saved simulations, and visualizing the results in real-time. Users should be able to adjust simulation settings dynamically while the simulation is running. Utilize the 'airball' package to manage and run these simulations efficiently. Provide detailed documentation on how to install dependencies, set up the environment, and run the application.
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