🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities. However, the metadata quality is poor, and there is a new maintainer, which raises some concerns.

Low metadata quality
New maintainer

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communication.
Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low risk due to lack of suspicious indicators, but caution advised due to new maintainer and low metadata quality.

🔬 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 4.0

2 maintainer concern(s) found

Author "Hawabaaz" 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 Hawabaaz-gsoc-snippets

Create a Python-based command-line utility named 'SnippetMaster' that leverages the 'Hawabaaz-gsoc-snippets' package to manage and utilize personal code snippets efficiently. This utility will serve as a powerful tool for developers to store, organize, search, and insert their frequently used code snippets directly into their development environment.

### Key Features:
1. **Code Snippet Storage**: Allow users to add new code snippets with tags for easy categorization.
2. **Search Functionality**: Implement a robust search feature that enables users to find specific snippets based on keywords or tags.
3. **Insertion into Editor**: Integrate functionality that allows users to select a snippet from the stored list and insert it directly into their active editor (e.g., VSCode, PyCharm).
4. **Organizational Tools**: Provide options for organizing snippets into folders or categories for better management.
5. **Version Control**: Track changes made to snippets over time and allow users to revert to previous versions if needed.
6. **User Interface**: Develop a clean, intuitive command-line interface that makes navigation and interaction with the utility straightforward.

### How 'Hawabaaz-gsoc-snippets' Package is Utilized:
- Use the 'snippet_add' function to add new snippets to the database.
- Leverage the 'snippet_search' function for searching through stored snippets.
- Utilize the 'snippet_insert' function to facilitate the insertion of selected snippets into the user's active editor.
- Apply the 'snippet_version_control' function to manage versioning of snippets.

### Development Steps:
1. **Setup Project Environment**: Initialize a Python virtual environment and install necessary packages including 'Hawabaaz-gsoc-snippets'.
2. **Design Database Structure**: Define the structure for storing snippets, including fields for content, tags, creation date, last modified date, and version history.
3. **Implement Core Functions**: Develop the main functionalities of the utility using the provided functions from 'Hawabaaz-gsoc-snippets'.
4. **User Interface Design**: Create a command-line interface that guides users through adding, searching, and inserting snippets.
5. **Integration Testing**: Test each feature thoroughly to ensure seamless operation.
6. **Documentation**: Write comprehensive documentation explaining how to use the utility and integrate it into different development environments.
7. **Deployment**: Prepare the utility for deployment, ensuring it can be easily installed and run by other developers.