🤖 AI Analysis

Final verdict: SAFE

The package appears safe with minimal risks identified across all categories. The only notable concern is the potential neglect or lack of community support, but this does not indicate malicious intent.

Low network and shell risk
No signs of obfuscation or credential harvesting
Metadata suggests potential neglect

Per-check LLM notes

Network: No network calls detected, which is typical for a library focused on REST clients without immediate external dependencies.
Shell: No shell execution detected, which aligns with the expected behavior of a Python library.
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: The package shows some signs of potential neglect or lack of community support, but no clear indicators of malicious intent.

🔬 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 score 3.0

Suspicious email domain flags: Very short email domain: uw.edu

Very short email domain: uw.edu

✓ 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 "UWIT Student & Educational Technology Services" 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 UW-RestClients-Space

Create a Python-based mini-application named 'SpaceFinder' that leverages the 'UW-RestClients-Space' package to provide students and staff at the University of Washington with real-time information about available study spaces on campus. The application should have a user-friendly command-line interface (CLI) and allow users to perform the following actions:

1. **List Available Spaces**: Users should be able to view a list of all available study spaces across different libraries and buildings on campus.
2. **Filter by Building**: Implement functionality that allows users to filter available spaces by specific buildings. For example, if a user wants to know which spaces are available in Suzzallo Library, they should be able to specify this.
3. **Check Space Availability**: Allow users to check the availability of a particular space by specifying its name or ID. This feature should display whether the space is currently occupied or available.
4. **Book a Space**: If possible, integrate a feature where users can reserve a study space for a specific duration, provided that the service supports booking through the API.
5. **Get Detailed Information**: Provide detailed information about each space, such as amenities, capacity, and type of space (e.g., quiet room, group study area).

The 'UW-RestClients-Space' package will be the primary tool for interfacing with the HFS services at the University of Washington. It will handle authentication, data retrieval, and other interactions with the backend services. Your task is to design and implement the 'SpaceFinder' application, ensuring it is robust, efficient, and user-friendly. Additionally, document your code thoroughly and include comments explaining how you utilize the 'UW-RestClients-Space' package to achieve the specified functionalities.