🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network, shell execution, obfuscation, and credential handling. However, the metadata risk score is high due to the lack of maintainer history and an untraceable repository, raising suspicion about potential malicious intent.

High metadata risk
Untraceable repository

Per-check LLM notes

Network: No network calls suggest the package does not engage in external communications which is normal unless specific network interactions are expected for its functionality.
Shell: No shell execution detected, indicating the package does not execute system commands which reduces the risk of it being used for malicious purposes.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
Metadata: The package shows signs of being potentially malicious due to the lack of maintainer history and an untraceable repository.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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 aibattle

Create a fully-functional mini-game called 'AI Arena' using the Python package 'aibattle'. This game will simulate a battle arena where multiple AI agents compete against each other in a turn-based strategy game. Each AI agent will have unique abilities and strategies, making the game both challenging and engaging. The goal of the game is to outmaneuver opponents by utilizing terrain, resources, and strategic planning. Here’s how you can structure your project:

1. **Setup**: Start by installing the 'aibattle' package and setting up your development environment.
2. **Game Initialization**: Define the game world including its dimensions, initial conditions, and rules.
3. **Agent Creation**: Utilize the 'aibattle' package to create different types of AI agents. Each agent should have distinct characteristics such as speed, strength, intelligence, and special abilities.
4. **Battle Simulation**: Implement the logic for agents to interact within the game world. This includes movement, combat, resource gathering, and strategic decision-making processes.
5. **User Interface**: Develop a simple yet effective user interface that allows players to watch the battles unfold in real-time. Consider using graphical elements to enhance the visual experience.
6. **Scoring System**: Integrate a scoring system to evaluate the performance of each AI agent over multiple rounds.
7. **Tournament Mode**: Allow users to run tournaments where multiple AI agents compete against each other in a round-robin or knockout format.
8. **Customization Options**: Provide options for users to tweak parameters such as game speed, difficulty levels, and AI behaviors.
9. **Testing & Optimization**: Rigorously test the game to ensure all features work as expected and optimize performance.
10. **Documentation & Packaging**: Document your code and package the game into an executable file for easy distribution.

Use the 'aibattle' package to handle the complex AI interactions and decision-making processes, focusing on developing the game mechanics and user interface. Aim to create a game that not only showcases the capabilities of the 'aibattle' package but also provides an entertaining and educational experience for users.