aws-resource-validator-partnercentral-channel

v2.0.3 safe
3.0
Low Risk

Pydantic v2 models for AWS partnercentral_channel, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and poses minimal risks based on the analysis notes. The incomplete author details raise a slight concern about credibility but do not indicate any malicious intent.

  • No network calls or shell executions detected.
  • Incomplete author metadata.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The author's details are incomplete, suggesting potential low credibility, but no clear signs of malicious intent.

📦 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

  • Brief PyPI description (345 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator 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 aws-resource-validator-partnercentral-channel 
Create a command-line tool using Python that validates AWS resources against the Partner Central Channel schema provided by the 'aws-resource-validator-partnercentral-channel' package. This tool should allow users to input resource definitions in JSON format and receive validation feedback indicating whether the resources conform to the expected Partner Central Channel schema.

### Features:
- **Resource Input:** Users should be able to provide resource definitions via command-line arguments or standard input.
- **Validation Output:** The tool should output validation results, highlighting any discrepancies between the provided resources and the expected schema.
- **Detailed Error Messages:** For invalid resources, the tool should provide detailed error messages indicating which fields are missing or incorrectly formatted.
- **Configuration File Support:** Allow users to specify a configuration file containing default settings or additional schemas.

### Steps to Build the Tool:
1. **Setup Environment:** Install Python and necessary packages including 'aws-resource-validator-partnercentral-channel'.
2. **Parse Command-Line Arguments:** Use argparse or similar library to handle user inputs.
3. **Load Resource Definitions:** Implement functionality to read resource definitions from either command-line input or a specified file.
4. **Validate Resources:** Utilize the 'aws-resource-validator-partnercentral-channel' package to validate the loaded resources against the Partner Central Channel schema.
5. **Display Validation Results:** Format and display validation outcomes clearly to the user.
6. **Handle Errors Gracefully:** Ensure the tool provides informative error messages if it encounters issues during execution.
7. **Testing:** Develop a suite of tests to ensure the tool works correctly with various resource definitions.

### Utilization of 'aws-resource-validator-partnercentral-channel':
This package provides Pydantic v2 models that define the structure of AWS resources according to the Partner Central Channel schema. By importing these models into your project, you can leverage their validation capabilities to ensure that user-provided resource definitions meet the required standards.

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