🤖 AI Analysis

Final verdict: SAFE

The package does not perform any network calls or shell executions, which are common indicators of malicious activity. However, due to the low activity and possibly new maintainer, there is some uncertainty.

No network calls
No shell executions
Maintainer metadata suggests possible new or inactive status

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Metadata: The package shows signs of being newly created and the maintainer may be inactive or new, which could indicate potential risks.

🔬 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: protonmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository gralito/GQueryBuilder appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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 GQueryBuilder

Create a command-line utility named 'SQLiteQueryTool' using Python and the GQueryBuilder package. This tool should allow users to interactively manage their SQLite databases through a series of commands. Here’s a breakdown of what the application should do and how it will utilize GQueryBuilder:

1. **Initialization**: Upon launching the tool, users should be prompted to either connect to an existing SQLite database file or create a new one.
2. **Command Interface**: After connecting to a database, the user should enter into a command interface where they can input various commands to manipulate the database. Suggested commands include:
   - `CREATE TABLE`: Allows users to define and create new tables within the database.
   - `INSERT RECORD`: Enables the insertion of new records into specified tables.
   - `SELECT RECORDS`: Retrieves and displays records from the database based on user-defined criteria.
   - `UPDATE RECORD`: Updates specific records within a table.
   - `DELETE RECORD`: Deletes specified records from the database.
3. **GQueryBuilder Utilization**: For each command, GQueryBuilder should be used to construct and execute the corresponding SQL query. For example, when a user wants to create a table, GQueryBuilder should generate the appropriate 'CREATE TABLE' statement based on the schema provided by the user.
4. **Error Handling**: Implement robust error handling to manage invalid inputs, such as incorrect SQL syntax or connection issues, and provide meaningful error messages to guide the user.
5. **Help Command**: Include a 'HELP' command that lists all available commands along with brief descriptions of what they do.
6. **Exit Command**: Provide an 'EXIT' command to safely close the connection to the database and exit the tool.

By following these steps, you'll create a powerful yet easy-to-use tool for managing SQLite databases directly from the command line.