🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk factors, with no indications of malicious activities such as network calls, shell executions, or obfuscation. However, the low maintainer activity and poor metadata quality slightly increase the risk score.

Low maintainer activity
Poor metadata quality

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access to function properly.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: salt.ac.za>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 PyAstroSALT

Your task is to develop a Python-based mini-application called 'SALT Explorer', which leverages the PyAstroSALT package to provide astronomers and enthusiasts with a user-friendly interface to interact with data from the Southern African Large Telescope (SALT). This application will allow users to request observation details, manage telescope schedules, and retrieve recent astronomical observations made using SALT.

Step-by-Step Development Guide:
1. Set up your Python environment and install PyAstroSALT along with any other necessary packages such as Flask for web development.
2. Design a simple yet intuitive user interface where users can input their requests for observation data, schedule new observations, and view past observations.
3. Implement functionality to connect to the SALT database through PyAstroSALT, ensuring secure and efficient data retrieval.
4. Develop a feature that allows users to filter and sort retrieved data based on various criteria such as date, object observed, and observation type.
5. Add a section within the application for real-time updates on current telescope activities and status.
6. Ensure the application includes error handling and user feedback mechanisms to guide users through any issues they might encounter while interacting with the system.
7. Test the application thoroughly to ensure all features work as expected and provide a seamless user experience.

Suggested Features:
- User authentication for accessing more detailed information and scheduling private observations.
- Integration with external APIs for cross-referencing data with other astronomical databases.
- A mobile-responsive design to make the application accessible on various devices.
- Documentation and tutorials for new users to help them understand how to use the application effectively.

Utilizing PyAstroSALT:
- Use PyAstroSALT's API to establish a connection to the SALT database and fetch observation details.
- Leverage PyAstroSALT's capabilities to manage and schedule observations, allowing users to submit new requests and modify existing ones.
- Employ PyAstroSALT for retrieving real-time status updates on the telescope's operations and recent observations.