arga-cli

v0.1.17 safe
3.0
Low Risk

Command-line interface for Arga authentication, MCP installation, and browser validation

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. The metadata risk is slightly elevated due to the maintainer's limited package history, but this alone does not suggest malicious intent.

  • No network calls detected.
  • No shell execution detected.
  • Maintainer has only one package.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no direct system command risks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but there are no other red flags.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 13 test file(s) found

  • Test runner config found: pyproject.toml
  • 13 test file(s) detected (e.g. test_cli_git.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (13931 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 90 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in ArgaLabs/arga-cli
  • Small but multi-author team (3–4 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ArgaLabs/arga-cli appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Arga Labs" 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 arga-cli 
Develop a comprehensive mini-application named 'ArgaMCPManager' using Python, which leverages the functionalities of the 'arga-cli' package. This application will serve as a streamlined tool for managing Arga authentication, MCP installation, and browser validation processes. Here’s a detailed outline of the steps and features to implement:

1. **User Authentication**: Integrate Arga authentication into your application allowing users to log in securely. Use the 'arga-cli' package to handle the backend operations of user authentication.
2. **MCP Installation Management**: Provide a feature where users can install, update, and uninstall MCPs directly from the application. Utilize the 'arga-cli' package to perform these operations seamlessly.
3. **Browser Validation Interface**: Implement a module that allows users to validate their browsers against the Arga standards through the application interface. Ensure that this process is facilitated by the 'arga-cli' package.
4. **Logging and Reporting**: Incorporate logging functionality to record all actions performed within the application, including authentication attempts, MCP installations/uninstallations, and browser validations. Logs should be stored locally and also be exportable.
5. **User Interface**: Design a simple yet effective command-line interface for interacting with the application. Consider adding basic help and documentation commands to assist new users.
6. **Security Enhancements**: Focus on enhancing security by ensuring all data transactions are encrypted and secure. Utilize best practices for handling sensitive information such as passwords.

Suggested Features:
- Support for multiple user roles with varying levels of access permissions.
- Integration with popular cloud storage services for storing logs remotely.
- Automatic updates for MCPs based on predefined schedules.
- Real-time notifications for critical events like failed authentications or validation errors.

This project aims to provide a robust, user-friendly solution for managing Arga-related tasks efficiently, showcasing the versatility and power of the 'arga-cli' package.

💬 Discussion Feed

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