AI Analysis
Final verdict: SUSPICIOUS
The package has minimal functionality and is maintained by a single author with limited history, raising concerns about its legitimacy and purpose.
- Metadata risk due to limited historical data
- Placeholder nature of the package without clear purpose
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command risks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package appears to be new and maintained by a single author with limited history, 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
No author email provided
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
Only one version has ever been released — brand new packageAuthor "StellarRobot" 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 HandStudio
Create a virtual hand manipulation application using the Python package 'HandStudio'. This application will allow users to simulate various hand gestures and movements in a graphical interface. Users should be able to control the position, rotation, and scale of a digital hand model in real-time, as well as apply different textures and colors. Additionally, the app should support recording these gestures as a sequence of frames which can then be exported into a video file format such as .mp4. Step-by-Step Guide: 1. Set up the environment: Install necessary libraries including HandStudio, Pygame (for GUI), and moviepy (for video export). 2. Initialize the application window using Pygame, providing a user-friendly interface where users can interact with the digital hand. 3. Integrate HandStudio to load and manipulate the hand model within the application. Users should be able to change the pose of the hand through mouse interactions or keyboard inputs. 4. Implement a feature that allows users to customize the appearance of the hand, such as choosing from a variety of skin tones and textures. 5. Add functionality to record the sequence of hand movements over time, storing each frame of the gesture. 6. Develop an export option that compiles the recorded frames into a video file, allowing users to save their gestures as a replayable animation. 7. Test the application thoroughly to ensure all features work as expected and refine the user experience based on feedback.