aws-resource-validator-connectparticipant

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or obfuscation. However, the metadata risk score is elevated due to sparse author information and possibly new or inactive account status.

  • No network calls detected
  • Sparse author information and potentially new/inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating it does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is sparse and the account seems new or inactive, raising some concerns but not definitive signs of malice.

📦 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 (333 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-connectparticipant 
Develop a Python-based utility named 'ConnectParticipantValidator' that leverages the 'aws-resource-validator-connectparticipant' package to validate AWS Connect Participant resources. This utility will serve as a robust tool for developers and system administrators who need to ensure their AWS Connect Participant configurations adhere to best practices and standards.

Step 1: Initialize your project by setting up a virtual environment and installing necessary packages including 'aws-resource-validator-connectparticipant'.

Step 2: Define a class structure that represents different AWS Connect Participant resources using the Pydantic models provided by the 'aws-resource-validator-connectparticipant' package. Ensure each class includes validation rules based on the AWS Connect Participant API specifications.

Step 3: Implement functions that allow users to input their AWS Connect Participant resource configurations in various formats (e.g., JSON, YAML). These functions should parse the input and create instances of your defined classes.

Step 4: Create a validation function that checks the instances against the Pydantic models to ensure they meet all specified requirements. This function should return a detailed report highlighting any issues found during validation.

Step 5: Add support for command-line interaction. Users should be able to run the utility from the command line, specify input files, and receive validation results directly.

Suggested Features:
- Support for multiple input formats (JSON, YAML).
- Detailed error messages explaining validation failures.
- Option to output validation reports in human-readable formats like Markdown or HTML.
- Integration with AWS services for real-time validation against live resources.

Utilize the 'aws-resource-validator-connectparticipant' package extensively throughout your project to take advantage of its Pydantic models and validation capabilities. Your goal is to create a reliable and user-friendly tool that enhances the quality and reliability of AWS Connect Participant resource configurations.

💬 Discussion Feed

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