🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low effort and possible inexperience, as indicated by the metadata analysis, which raises some concerns. However, there are no direct indicators of malicious intent or exploitation vectors like network or shell risks.

Low metadata quality suggesting possible inexperience
No detected network or shell execution risks

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating it does not execute external commands that could be exploited.
Metadata: The package shows several signs of low effort and possible inexperience, raising suspicion but not conclusive evidence of malice.

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 8.0

4 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)
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 Konds-Live-REPL

Create a real-time debugging tool for Python applications using the 'Konds-Live-REPL' package. This tool should allow developers to connect to a running Python process and execute code snippets directly within the context of that process, enabling them to inspect variables, call functions, and modify the state of the application on-the-fly. The goal is to make it easier to diagnose and fix issues in complex systems without needing to restart the application or reproduce the issue manually.

### Features:
1. **Connection Management**: Allow users to connect to multiple running Python processes simultaneously. Each connection should have its own session namespace.
2. **Code Execution**: Provide a live interface where users can type Python code which will be executed in the connected process's environment. Results should be displayed back to the user immediately.
3. **Variable Inspection**: Users should be able to inspect the values of variables at any point in time during the execution of their code snippet.
4. **Function Calls**: Enable calling functions and methods from within the live interface, with the ability to pass arguments dynamically.
5. **State Modification**: Allow modification of variable states and object properties directly within the live interface.
6. **Error Handling**: Implement robust error handling to catch and display errors that occur during code execution, providing stack traces when necessary.
7. **History & Logging**: Maintain a history of executed commands and their results, allowing users to review previous actions and see how they affected the application's state.
8. **User Interface**: Develop a simple yet effective command-line interface (CLI) for interacting with the tool. Consider adding basic styling for readability.

### Utilization of 'Konds-Live-REPL':
- Use the 'Konds-Live-REPL' package as the core component for setting up the live coding environment. It should handle the creation of the live REPL sessions, execution of Python code, and management of the session namespaces.
- Integrate the package's capabilities into your tool to ensure seamless interaction with running Python processes. Focus on leveraging its strengths in real-time code execution and variable inspection.
- Customize the package’s functionality as needed to fit the specific requirements of your debugging tool, such as enhancing the user interface or adding additional logging capabilities.