🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various checks but has a concerning metadata risk due to the maintainer's account status.

Low network, shell, obfuscation, and credential risks
Maintainer has a new or inactive account with missing author details

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some suspicion but does not conclusively indicate malicious intent.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/engelmi/aicrate
Detailed PyPI description (6343 chars)

○ 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

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 76 commits in engelmi/aicrate
Single author but highly active (76 commits)

🔬 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: redhat.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository engelmi/aicrate appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

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 aicrate

Create a mini-application called 'AI Sandbox' using the Python package 'aicrate'. This application will serve as an environment where users can experiment with different AI models without worrying about dependency conflicts or versioning issues. Here’s a detailed step-by-step guide on how to develop this application:

1. **Setup Project Structure**: Begin by setting up the project structure. Use 'aicrate' to initialize the environment, ensuring it's isolated from other projects. This involves installing 'aicrate' if it isn't already installed and then using its commands to create a new isolated environment.
2. **Core Functionality**: Develop the core functionality of 'AI Sandbox'. This includes allowing users to install various AI-related packages (such as TensorFlow, PyTorch, etc.) into their isolated environment. Use 'aicrate' to manage these installations, ensuring they don’t interfere with each other or with the user's system.
3. **Model Experimentation Interface**: Implement an interface within 'AI Sandbox' where users can upload their datasets and select which AI model they want to train or test on their data. Utilize 'aicrate' to ensure all necessary dependencies for the selected model are correctly managed within the isolated environment.
4. **Result Visualization**: Provide tools for visualizing the results of the AI experiments conducted within 'AI Sandbox'. This could include graphs, charts, or any other form of visualization that helps in understanding the performance of the AI models.
5. **User Management Features**: Incorporate basic user management features such as account creation, login, and logout functionalities. This allows multiple users to have their own sandbox environments, each isolated from others.
6. **Documentation and Support**: Finally, ensure that your application comes with comprehensive documentation explaining how to use 'AI Sandbox', including setup instructions and examples. Additionally, provide support through a FAQ section or a community forum where users can ask questions and share experiences.

Throughout the development process, leverage 'aicrate' for its ability to set up isolated AI environments, manage dependencies, and ensure that different projects and their dependencies do not conflict with one another.