AI Analysis
Final verdict: SUSPICIOUS
The package shows low risk in terms of network usage, shell execution, obfuscation, and credential handling. However, the lack of maintainer history and low-effort metadata raises suspicion, warranting further investigation.
- Low maintainer activity
- Minimal package metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell executions detected, indicating the package does not perform system command operations.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
- Metadata: The package shows some red flags due to its lack of maintainer history and low-effort metadata, but there's no direct evidence 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
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 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with HavokMcp
Create a Python-based mini-game called 'Havok Adventure' that leverages the HavokMcp package for physics simulation and collision detection. This game will be a simple 2D platformer where the player controls a character that must navigate through various levels filled with obstacles and enemies. Step 1: Setup the Game Environment - Initialize the game window using a library like Pygame. - Set up the basic game loop and handle user input for movement and jumping. Step 2: Integrate HavokMcp for Physics Simulation - Use HavokMcp to manage the physics of the game world, including gravity, collisions, and object interactions. - Implement realistic physics for the player character, such as falling due to gravity, bouncing off walls, and interacting with dynamic objects. Step 3: Design Levels and Obstacles - Create multiple levels with increasing difficulty. - Incorporate various types of obstacles, such as moving platforms, spikes, and pits, all managed by HavokMcp for realistic behavior. Step 4: Implement Enemies and AI - Design simple enemy characters that move around the level and respond to the player's presence. - Utilize HavokMcp to ensure enemies interact naturally with the environment, such as falling from heights or being pushed by the player. Step 5: Add Power-Ups and Collectibles - Include items like health packs, speed boosts, and temporary invincibility. - Ensure these items behave correctly within the physics simulation provided by HavokMcp. Step 6: Testing and Optimization - Thoroughly test the game to ensure all elements work smoothly together, especially focusing on the integration between Pygame and HavokMcp. - Optimize performance to maintain smooth gameplay, particularly during complex interactions. Features: - Realistic physics engine provided by HavokMcp. - Dynamic and interactive environments. - Multiple levels with increasing challenge. - Simple yet engaging enemy AI. - Various power-ups and collectibles. The goal of this project is to demonstrate the capabilities of the HavokMcp package in creating a fun and engaging game while showcasing its strengths in physics simulation and collision handling.