🤖 AI Analysis

Final verdict: SAFE

The package has no signs of obfuscation or credential harvesting, and the risk indicators are minimal.

No obfuscation patterns detected
No credential harvesting patterns detected

Per-check LLM notes

Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (4195 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

4 type-annotated function signatures (partial)

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 15 commits in iloveitaly/alembic-squawk
Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

'.join(cmd)}") result = subprocess.run( cmd, capture_output=True, text=True

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: mikebian.co>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Michael Bianco" 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 alembic-squawk

Your task is to develop a mini-application that leverages the 'alembic-squawk' package to enhance database migration management for a Flask web application. This application will automatically split Alembic migrations into individual SQL files per revision, which can then be linted using the Squawk tool to ensure they adhere to best practices and standards. Here’s a detailed breakdown of what your application should include:

1. **Setup Environment**: Begin by setting up a virtual environment and installing necessary packages including Flask, Alembic, alembic-squawk, and Squawk. Ensure you have a basic Flask application set up with a SQLite database.

2. **Alembic Configuration**: Configure Alembic to work with your Flask app, including setting up the necessary directories and configuration files. Make sure to integrate alembic-squawk into your Alembic setup so it can automatically generate SQL files per revision.

3. **Migration Workflow**: Develop a simple CLI (Command Line Interface) that allows users to easily create, upgrade, and downgrade database migrations. Each command should seamlessly interact with Alembic and alembic-squawk to manage revisions and their corresponding SQL files.

4. **Linting with Squawk**: Integrate Squawk into your workflow to lint each SQL file generated by alembic-squawk. Display any linting errors or warnings to the user in a clear and understandable manner.

5. **User-Friendly Interface**: Provide clear feedback to the user after each operation, indicating whether the operation was successful or if there were any issues. Include options for verbose output and logging.

6. **Documentation and Testing**: Write comprehensive documentation explaining how to install and use the application. Also, include unit tests for your CLI commands and integration tests to verify the proper functioning of Alembic, alembic-squawk, and Squawk together.

**Suggested Features**:
- Support for multiple database types beyond SQLite.
- Automatic generation of README files for each migration directory detailing the changes made.
- Integration with version control systems like Git to automatically commit and push changes after successful migrations.
- A web-based UI as an alternative to the CLI, allowing for visual inspection and execution of migrations.

By following these steps and implementing these features, your application will provide a robust solution for managing database migrations while ensuring they meet high standards through automated linting.