🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential shell execution capabilities and low maintainer activity. While direct malicious intent is not confirmed, caution is advised.

Detection of shell execution capability
Low maintainer activity and poor metadata quality

Per-check LLM notes

Network: No network calls detected.
Shell: Detection of shell execution suggests potential for executing arbitrary commands, which could be misused for malicious purposes.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, 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 score 10.0

Found 5 shell execution pattern(s)

s try: result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, std
s try: result = subprocess.run(['python', '-c', code], check=True, stdout=subprocess.PIPE,
s try: result = subprocess.run(['python', file], check=True, stdout=subprocess.PIPE, stderr
rt subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subpro
ult = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE

✓ 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 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 agentic_terminal_geapeac

Your task is to develop a command-line interface (CLI) application using Python that integrates the 'agentic_terminal_geapeac' package to enhance an AI agent's interaction with the terminal environment. This application will serve as a bridge between user inputs and the AI agent's responses, providing a seamless experience for users to interact with the AI through the terminal. Here’s a step-by-step guide on how to create this application:

1. **Setup Project Environment**: Start by setting up your Python environment. Ensure you have Python installed, then install the 'agentic_terminal_geapeac' package using pip.

2. **Initialize Terminal Interface**: Use the 'agentic_terminal_geapeac' package to initialize a terminal interface that can accept user commands and display AI responses. Ensure the terminal supports color-coded outputs for better readability.

3. **AI Agent Integration**: Integrate an existing AI model or API (such as OpenAI’s GPT-3) with the terminal interface. The AI should be capable of understanding natural language commands and responding appropriately.

4. **Feature Implementation**:
   - Implement command history functionality to allow users to review past interactions.
   - Add autocomplete support for common commands and file paths.
   - Enable the terminal to handle multi-threaded operations, allowing users to run multiple tasks simultaneously.

5. **User Interaction Enhancements**: Improve the user experience by adding context-aware suggestions based on previous user inputs. For example, if a user frequently searches for files, suggest common search terms or directories.

6. **Error Handling and Feedback**: Implement robust error handling to manage unexpected inputs or failures gracefully. Provide clear feedback messages to users when errors occur.

7. **Security Considerations**: Since the application will be interacting with an AI model via the terminal, ensure all data exchanges are secure. Consider implementing encryption for sensitive communications.

8. **Testing and Documentation**: Thoroughly test the application to ensure it meets all requirements. Document the setup process, usage instructions, and any known limitations.

By following these steps, you will create a powerful CLI tool that leverages the 'agentic_terminal_geapeac' package to provide an intuitive and efficient way for users to interact with AI models through the terminal.