americancloud

v1.3.1 safe
4.0
Medium Risk

Official Python SDK for the American Cloud Platform API.

🤖 AI Analysis

Final verdict: SAFE

The package appears to be a legitimate SDK for the American Cloud API, with no direct evidence of malicious intent. However, the sparse metadata suggests it may be from a less established source.

  • Sparse author information
  • Generated from OpenAPI spec using Fern
Per-check LLM notes
  • Metadata: The author's information is sparse, indicating potential low activity or newness, but no concrete evidence of malice.

📦 Package Quality Overall: Low (4.2/10)

○ 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://americancloud.docs.buildwithfern.com
  • Detailed PyPI description (3323 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 337 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 5 commits in American-Cloud/americancloud-sdk-python
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • is not None else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirect
  • is not None else httpx.Client(timeout=_defaulted_timeout), timeout=_defaulted_
  • s is not None: return httpx.AsyncClient(timeout=timeout, follow_redirects=follow_redirects) retu
  • =follow_redirects) return httpx.AsyncClient(timeout=timeout) class AsyncAmericancloudApi: """
✓ 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: americancloud.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository American-Cloud/americancloud-sdk-python appears legitimate

⚠ 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 americancloud 
Create a Python-based mini-application that leverages the 'americancloud' SDK to manage cloud resources such as virtual machines, storage, and networking services. Your application should provide a user-friendly interface to perform common tasks like launching instances, attaching volumes, configuring security groups, and monitoring resource usage. Here’s a detailed breakdown of the project requirements:

1. **Application Overview**: Design an application named 'CloudManager' that serves as a command-line interface (CLI) tool for managing American Cloud Platform resources.
2. **Features**:
   - User Authentication: Implement a secure login mechanism using the 'americancloud' SDK's authentication methods.
   - Resource Management: Allow users to create, start, stop, and delete virtual machines.
   - Storage Management: Enable users to attach, detach, and manage storage volumes.
   - Network Configuration: Provide options to configure and modify network settings including security groups and firewall rules.
   - Monitoring & Reporting: Integrate real-time monitoring capabilities to display resource usage statistics and generate reports.
3. **Utilization of 'americancloud' Package**:
   - Use the SDK to authenticate users and retrieve necessary access tokens.
   - Leverage SDK functions to interact with various cloud services such as EC2, S3, RDS, etc., for resource management operations.
   - Employ SDK's monitoring APIs to fetch data on resource performance metrics.
4. **Development Guidelines**:
   - Ensure the application is well-documented and includes a README file explaining installation, setup, and usage.
   - Follow best practices for error handling and logging.
   - Consider adding unit tests to validate the functionality of your application.
5. **Deliverables**:
   - A fully functional CLI tool packaged with setup instructions.
   - A comprehensive README file detailing the project structure, dependencies, and configuration steps.
   - Documentation on how each feature works within the context of the 'americancloud' SDK.