🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential shell execution capabilities and low maintenance metadata, which could indicate a lack of transparency or poor development practices.

Shell risk detected
Low metadata quality

Per-check LLM notes

Network: No network calls detected.
Shell: Detection of shell execution patterns suggests potential risk as it may be used to execute arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious attempts to steal secrets or credentials.
Metadata: The package shows signs of low maintenance and potential lack of transparency, raising suspicion but not definitive proof 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)

ess try: result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, std
ess try: result = subprocess.run(['python', '-c', code], check=True, stdout=subprocess.PIPE,
ess try: result = subprocess.run(['python', file], check=True, stdout=subprocess.PIPE, stderr
port subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subproce
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-abcde

Your task is to develop a command-line utility named 'AgenticShell' using the Python package 'agentic_terminal-abcde'. This utility will serve as an interactive terminal interface where users can interact with AI agents to perform various tasks. The goal is to create a versatile tool that can be easily extended with new commands and functionalities.

### Features:
1. **Command Execution**: Users should be able to input commands and receive responses from the integrated AI agent via the terminal.
2. **Scripting Support**: Allow users to write and execute scripts containing multiple commands. These scripts can include variables, loops, and conditional statements.
3. **History and Logging**: Maintain a history of executed commands and log them for future reference.
4. **Custom Commands**: Provide a way for users to define their own custom commands that can be invoked within the terminal.
5. **Help Documentation**: Include a help system that provides documentation on available commands and how to use them.
6. **Error Handling**: Implement robust error handling to ensure that any errors encountered during command execution are communicated clearly to the user.
7. **Interactive Mode**: Offer an interactive mode where users can continuously input commands without needing to restart the shell after each command.

### Utilizing 'agentic_terminal-abcde':
- Use the package to initialize the terminal environment and integrate it with your AI agent.
- Leverage its capabilities to process user inputs, execute commands, and manage interactions between the user and the AI.
- Ensure that the terminal supports real-time interaction and feedback, enhancing the user experience.

### Development Steps:
1. **Setup Environment**: Install necessary packages including 'agentic_terminal-abcde', and set up a virtual environment for development.
2. **Initialize Terminal**: Use 'agentic_terminal-abcde' to initialize the terminal interface and connect it to your AI agent.
3. **Implement Command Parsing**: Develop a parser to handle user inputs, distinguishing between built-in commands and custom-defined ones.
4. **Integrate Scripting Capabilities**: Allow for script creation and execution, supporting basic scripting syntax.
5. **Develop Help System**: Create a help system that can be accessed through a command, providing documentation on all available commands.
6. **Test Thoroughly**: Test your application under various scenarios to ensure reliability and usability.
7. **Document and Release**: Write comprehensive documentation and prepare your application for release.

This project aims to showcase the versatility and power of integrating AI capabilities into a command-line interface, making complex tasks more accessible and efficient.