argobeast

v2.1.4.post1 safe
4.0
Medium Risk

A Python-based test automation framework for Behave with a clean Page Object architecture and CLI scaffolding.

🤖 AI Analysis

Final verdict: SAFE

The package Argobeast v2.1.4.post1 has minimal risks with no network calls or obfuscation detected. While there is a slight concern due to shell execution, it is likely used for legitimate purposes. However, the missing author information and lack of a linked git repository raise some doubts about its reliability.

  • No network calls detected
  • Potential shell execution for legitimate purposes
  • Missing author information
  • No linked git repository
Per-check LLM notes
  • Network: No network calls detected, which is low risk.
  • Shell: Shell execution detected may be for tooling or reporting purposes, but could indicate potential risk if misuse occurs.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package has some red flags including a missing author and no linked git repository, indicating potential unreliability.

📦 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://pauls-argo.github.io/ArgoBEAST-Documentation/
  • Detailed PyPI description (4139 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

  • 18 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • lf): try: subprocess.run( [ "allure",
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: argodevops.co.uk>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 argobeast 
Create a fully functional mini-application that automates testing for a simple web application using the 'argobeast' Python package. This project will serve as a practical example of how to integrate 'argobeast' into your test automation workflow, leveraging its clean Page Object Model architecture and CLI scaffolding capabilities. Your task is to develop a test suite that verifies key functionalities of the web application such as user registration, login, and content creation.

Step-by-Step Instructions:
1. Set up a virtual environment and install 'argobeast' along with other necessary packages like 'behave', 'selenium', and 'requests'.
2. Define a simple web application that includes pages for registration, login, and content creation. Ensure the web application has basic CRUD operations.
3. Use 'argobeast' to create a page object model for each page of the web application. Each page object should encapsulate the locators and actions specific to that page.
4. Write BDD (Behavior Driven Development) scenarios in Gherkin language to describe the expected behavior of the web application's features.
5. Implement step definitions for each scenario using 'argobeast'. These step definitions should interact with the page objects to perform actions on the web application.
6. Utilize 'argobeast' CLI tools to scaffold new features or pages as you extend the test suite.
7. Run the tests and ensure they pass, demonstrating that the web application meets the specified requirements.

Suggested Features:
- User Registration: Verify that users can register with valid credentials and cannot register with duplicate usernames.
- User Login: Validate successful and unsuccessful login attempts based on correct and incorrect credentials.
- Content Creation: Allow registered users to create new content and verify that the content appears correctly on the site.
- Data Persistence: Ensure that data entered by users persists across sessions.

This project aims to showcase the capabilities of 'argobeast' in simplifying test automation tasks through a modular and scalable approach. By following these steps, you'll gain hands-on experience with 'argobeast' and understand how it streamlines the process of building maintainable test suites.

💬 Discussion Feed

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