autogitsemver

v0.9.14 safe
3.0
Low Risk

Generate a semantic version based on commits made to a git repository.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk across all categories with no network calls, shell executions, obfuscations, or credential risks. The metadata risk is slightly elevated due to the maintainer having only one package.

  • No network calls detected
  • Single package maintained by author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell executions detected, which is expected unless the package includes functionality to execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/davidbrownell/AutoGitSemVer
  • Detailed PyPI description (15336 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 13 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in davidbrownell/AutoGitSemVer
  • 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: davidbrownell.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository davidbrownell/AutoGitSemVer appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "David Brownell" 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 autogitsemver 
Create a Python-based command-line utility named 'VersionMaster' that leverages the 'autogitsemver' package to automatically generate semantic versions based on commit messages in a Git repository. This tool should help developers maintain a consistent and meaningful versioning scheme without manual intervention. Here’s a detailed breakdown of the project requirements:

1. **Project Initialization**: Start by setting up a new Python virtual environment and installing necessary packages, including 'autogitsemver'.
2. **Command-Line Interface (CLI)**: Develop a CLI that accepts commands such as `init`, `update`, and `show`. The `init` command sets up the initial version number, `update` generates a new version based on recent commits, and `show` displays the current version.
3. **Semantic Versioning Logic**: Implement logic within the 'autogitsemver' package integration to parse commit messages and determine whether they warrant a major, minor, or patch version update according to Semantic Versioning guidelines (https://semver.org/).
4. **Configuration Management**: Allow users to configure rules for which types of commits (e.g., those containing specific keywords like 'fix', 'feat', etc.) trigger a major, minor, or patch version bump.
5. **Integration Testing**: Write tests to ensure that different types of commit messages correctly increment the version numbers as expected.
6. **Documentation**: Provide comprehensive documentation explaining how to install 'VersionMaster', use its commands, and customize it for different projects.
7. **User Feedback**: Implement feedback mechanisms in the CLI to inform users about the success or failure of their operations, including error messages for invalid commands or configurations.
8. **Deployment**: Package 'VersionMaster' as a standalone executable that can be installed via pip, making it easily accessible to other developers.

By completing this project, you will have built a valuable tool that streamlines version management for software projects using Git and Semantic Versioning.

💬 Discussion Feed

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