alumnium-cli

v0.20.0 safe
2.0
Low Risk

Alumnium CLI binary for darwin-x64

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all assessed categories, with no network calls, shell executions, or obfuscation techniques detected. The metadata risk is slightly elevated due to the maintainer's limited activity on PyPI.

  • No network calls detected
  • No shell execution detected
Per-check LLM notes
  • Network: No network calls detected, which is typical unless the package requires internet access for its functionality.
  • Shell: No shell execution detected, indicating the package does not perform any system command executions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package and lacks PyPI classifiers, suggesting low effort or a new/inactive account.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://alumnium.ai/docs/
○ 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
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 100 commits in alumnium-hq/alumnium
  • Active community — 5 or more distinct contributors

🔬 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

Repository alumnium-hq/alumnium appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Sasha Koss, Alex Rodionov, Tatiana Shepeleva" 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 alumnium-cli 
Create a command-line utility named 'AlumTool' that leverages the 'alumnium-cli' package to manage and interact with aluminum-related data. This tool should serve as a comprehensive interface for users to perform various operations related to aluminum, such as fetching the latest market prices, checking availability of specific aluminum products, and more. Here’s a detailed breakdown of what your project should include:

1. **Setup**: Start by installing the 'alumnium-cli' package on your local machine. Ensure that your environment supports darwin-x64 architecture.
2. **Core Features**:
   - **Market Price Fetcher**: Implement a feature that fetches the latest market price of aluminum from a reliable source using 'alumnium-cli'. Display this information in a user-friendly manner.
   - **Product Availability Checker**: Integrate functionality to check if certain aluminum products are available in the market. Users should be able to input product codes or names, and the tool should return whether these items are in stock.
3. **User Interface**: Design a simple yet effective command-line interface where users can easily navigate through different functionalities. Provide clear instructions and help documentation.
4. **Additional Features**:
   - **Historical Data Viewer**: Allow users to view historical price trends of aluminum over a specified period.
   - **Notifications**: Implement a feature that sends email notifications to users when there are significant changes in aluminum prices or availability.
5. **Testing**: Write unit tests to ensure all functionalities work as expected. Pay special attention to error handling and edge cases.
6. **Documentation**: Provide comprehensive documentation explaining how to install and use 'AlumTool', including any dependencies required and best practices for usage.
7. **Deployment**: Prepare 'AlumTool' for deployment so it can be easily installed and used by other developers or end-users. Consider packaging it as a standalone executable or a Docker container.

Your task is to develop 'AlumTool' in Python, ensuring it fully utilizes the capabilities provided by the 'alumnium-cli' package to deliver a robust and user-friendly experience.

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