aind-active-directory-service-async-client

v0.1.5 suspicious
6.0
Medium Risk

aind-active-directory-service

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package shows low activity and lacks detailed metadata, raising concerns about its maintenance and purpose. However, there are no clear indications of malicious intent.

  • Low activity and metadata quality
  • Lack of detailed package description
Per-check LLM notes
  • Metadata: Low activity and lack of classifiers suggest low effort or new maintainer, but no clear signs of malicious intent.

πŸ“¦ Package Quality Overall: Low (2.8/10)

✦ High Test Suite 9.0

Test suite present β€” 7 test file(s) found

  • 7 test file(s) detected (e.g. test_default_api.py)
β—‹ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—‹ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • self.pool_manager = aiohttp.ClientSession( connector=aiohttp.TCPConnector(limit=self.m
βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: openapitools.org

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aind-active-directory-service-async-client
Create a fully-functional mini-app called 'ADSyncTool' using the Python package 'aind-active-directory-service-async-client'. This tool will serve as an asynchronous client to interact with Active Directory services, focusing on user management tasks such as adding, modifying, and deleting users. Here’s a detailed plan for your project:

1. **Setup Environment**: Begin by setting up a virtual environment and installing the necessary packages including 'aind-active-directory-service-async-client'. Ensure you have the required dependencies installed.

2. **Project Structure**: Organize your project into modules for better readability and maintainability. For example, separate the code into modules for configuration, client initialization, and operations like add_user, modify_user, delete_user.

3. **Configuration Module**: Develop a configuration module where you store sensitive information like Active Directory server details, credentials, and other settings securely. Use environment variables or a secure vault service for storing these details.

4. **Client Initialization**: Implement a class or function to initialize the async client using the provided package. This should handle authentication and connection setup to the Active Directory service.

5. **User Management Operations**: Utilize the 'aind-active-directory-service-async-client' package to implement the following user management operations:
   - **Add User**: Create a function that takes user details as input and adds them to the Active Directory.
   - **Modify User**: Develop a feature to modify existing user details in the Active Directory.
   - **Delete User**: Implement functionality to remove users from the Active Directory.

6. **Command Line Interface (CLI)**: Build a simple CLI interface using Python's argparse or click library. This CLI should allow users to interact with the tool via command line commands for adding, modifying, and deleting users.

7. **Error Handling and Logging**: Integrate comprehensive error handling mechanisms and logging capabilities to ensure robustness and traceability of actions performed by the tool.

8. **Testing**: Write unit tests and integration tests to validate the functionality of your tool. Pay special attention to testing edge cases and ensuring data integrity.

9. **Documentation**: Provide clear documentation for setting up and using the tool. Include examples and best practices for integrating it into larger systems or workflows.

This project aims to showcase the power and flexibility of 'aind-active-directory-service-async-client' in real-world scenarios while providing a practical utility for managing Active Directory users.

πŸ’¬ Discussion Feed

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