🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears to have legitimate functionality but raises concerns due to the unavailability of its repository and the maintainer's limited involvement with other packages.

Repository not found
Maintainer has only one package

Per-check LLM notes

Network: No network calls detected.
Shell: Shell executions appear to be intended for file and folder opening operations, which seem benign given the package's probable purpose.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository is not found, and the maintainer has only one package, which may indicate suspicious activity.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

e in Explorer subprocess.Popen(["explorer", "/select,", str(self._result.path)])
== "darwin": subprocess.Popen(["open", "-R", str(self._result.path)]) else:
aining folder subprocess.Popen(["xdg-open", str(folder)]) except Exception:
ediately.""" try: subprocess.run( ["/System/Library/CoreServices/pbs", "-flush"],
ATH try: result = subprocess.run( ["where", "smartzip-gui"], capture_

✓ 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Suraj Yadav" 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 ZipIgnore

Create a Python-based desktop application named 'CleanZipper' that simplifies the process of creating clean ZIP archives while respecting custom .zipignore patterns similar to .gitignore files. This application will serve as a user-friendly interface for managing file exclusions during the archiving process. Here’s a detailed plan on how to approach this project:

1. **Setup Environment**: Begin by setting up your development environment with Python installed and the required packages, including ZipIgnore. Ensure you have a GUI library such as PyQt5 or Tkinter to create the graphical user interface.

2. **Design the Interface**: Design a simple yet intuitive UI that allows users to select source directories, specify output ZIP files, and manage .zipignore patterns. Include options for adding, editing, and removing ignore rules.

3. **Implement ZipIgnore Integration**: Utilize the ZipIgnore package to handle the creation of ZIP archives according to the specified ignore patterns. Make sure to integrate error handling to provide meaningful feedback when issues arise during the archiving process.

4. **Add Advanced Features**:
- **Preview Functionality**: Allow users to preview which files will be included/excluded based on the current .zipignore settings before proceeding with the archive creation.
- **History Log**: Implement a feature to keep track of past archive creations, including the source directory, output file, and applied ignore patterns.
- **Custom Templates**: Enable users to save and load custom .zipignore templates for different types of projects or use cases.

5. **Testing and Validation**: Thoroughly test the application with various scenarios to ensure it behaves correctly under different conditions. Validate the correctness of the archive creation process against expected outcomes using predefined datasets.

6. **Documentation and Deployment**: Prepare comprehensive documentation detailing installation, usage, and troubleshooting steps. Consider deploying the application as a standalone executable using tools like PyInstaller for easy distribution.

By following these steps, you'll develop a robust and user-friendly tool that leverages the power of ZipIgnore to streamline the process of creating clean ZIP archives.