a3ip

v1.5.0 safe
1.0
Low Risk

CLI for A3IP - AI Infrastructure Installation Package (pronounced 'ay-trip')

🤖 AI Analysis

Final verdict: SAFE

The package a3ip v1.5.0 is assessed as safe with no signs of obfuscation or credential harvesting.

  • No obfuscation patterns detected
  • No credential harvesting patterns detected
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.

🔬 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 score 6.0

Possible typosquat of: pip, amqp

  • "a3ip" is 2 edit(s) from "pip"
  • "a3ip" is 2 edit(s) from "amqp"
✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ 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 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 a3ip 
Create a command-line utility named 'AI-Setup' that leverages the 'a3ip' package to streamline the installation and management of AI development environments on various operating systems. This utility should allow users to easily install necessary libraries, frameworks, and tools required for AI projects, including TensorFlow, PyTorch, Jupyter Notebooks, and other relevant software components. Additionally, it should provide functionalities to update these installations, check their versions, and manage virtual environments. Here’s a detailed breakdown of the requirements:

1. **Installation**: The utility should allow users to specify which components they want to install (e.g., TensorFlow, PyTorch). It should also support optional configurations such as specifying the version of each component.
2. **Update Management**: Provide commands to update individual components or all installed components at once.
3. **Version Checking**: Implement a feature to display the installed version of each component.
4. **Virtual Environment Support**: Enable users to create, activate, and deactivate virtual environments where different sets of components can be installed and managed separately.
5. **Configuration File**: Users should be able to configure default settings via a configuration file, which includes preferred versions of components and default installation paths.
6. **Help and Documentation**: Include comprehensive help documentation accessible through the command line, detailing available commands and their usage.

Utilize the 'a3ip' package to handle the underlying operations related to installation, updating, and managing dependencies. Ensure your implementation integrates seamlessly with the 'a3ip' package's API and functionalities.