🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no detected risks such as network calls, shell executions, or credential harvesting. The metadata risk is slightly elevated due to possible inexperience, but there's no evidence of malicious intent.

Low risk across all categories
Metadata risk suggests potential inexperience but no malicious activity

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external API interactions.
Shell: No shell execution detected, which is expected unless the package is designed to execute commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low effort and could be from an inexperienced developer, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ 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 (473 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ 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

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apitestgen-cli

Create a mini-application named 'API-Test-Builder' that leverages the 'apitestgen-cli' Python package to streamline the process of generating API test scripts for developers. This application should allow users to easily record API interactions, analyze them, and automatically generate corresponding pytest test cases. Here’s a detailed plan on how to build this application:

1. **Project Setup**: Initialize a new Python project and install the 'apitestgen-cli' package as well as other necessary dependencies such as 'pytest'.
2. **User Interface Design**: Develop a simple command-line interface (CLI) where users can interact with the application.
3. **API Recording Feature**: Implement a feature within the CLI that allows users to record API calls made through a web browser or any API client tool. Ensure that the recorded data includes request methods (GET, POST, etc.), URLs, headers, body content, and response data.
4. **Analysis Module**: After recording, the application should analyze the recorded API interactions to identify key components like parameters, expected responses, and error handling scenarios.
5. **Test Script Generation**: Based on the analysis, the application should generate pytest test scripts. These scripts should include setup and teardown functions, parameterized tests, and assertions to validate both successful and failure conditions.
6. **Customization Options**: Provide options for users to customize the generated test scripts, such as adding custom headers, modifying expected response codes, or including specific test data.
7. **Integration Testing**: Finally, integrate the generated test scripts into a pytest suite and run them to ensure they function correctly.
8. **Documentation**: Create comprehensive documentation that explains how to use each feature of the 'API-Test-Builder' application.

Throughout the development process, utilize 'apitestgen-cli' effectively by calling its functionalities to handle the recording, analyzing, and script generation tasks. This will help in reducing manual effort and improving the accuracy and reliability of the generated test scripts.