🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk due to its potential to execute shell commands and the observed lack of transparency in its metadata. However, there are no indications of malicious intent or network risks.

Medium shell risk
Low effort metadata

Per-check LLM notes

Network: No network calls detected, which is normal.
Shell: Detection of shell execution patterns suggests potential for executing arbitrary commands, indicating a medium risk.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low effort and potential lack of transparency, but there's no concrete 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)

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_yash

Create a versatile command-line tool named 'AgentShell' that leverages the 'agentic_terminal_yash' package to enhance user interaction with AI agents. This tool should serve as an intermediary between the user and AI agents, providing a rich, interactive terminal experience. Here are the key steps and features for your project:

1. **Setup Environment**: Begin by installing the necessary dependencies including 'agentic_terminal_yash'. Ensure that your environment supports Python.
2. **Initialize AgentShell**: Develop a basic structure for AgentShell where users can input commands and receive responses from an integrated AI agent. Use 'agentic_terminal_yash' to manage these interactions effectively.
3. **Command Parsing**: Implement a robust command parser that understands and executes various types of commands. Commands should include basic shell operations like 'ls', 'cd', 'mkdir', etc., as well as custom commands specific to AI interaction such as 'ask_agent', 'list_agents', 'load_agent'.
4. **AI Integration**: Utilize 'agentic_terminal_yash' to integrate AI agents into your terminal. This includes setting up different agents, loading them into the terminal session, and allowing users to interact with these agents directly through the terminal interface.
5. **Enhanced Features**: Add advanced features like history logging, autocomplete for commands, and error handling to make the terminal more user-friendly and efficient.
6. **Customization Options**: Allow users to customize their terminal experience, such as changing the theme, setting aliases for commands, or configuring default behaviors for certain actions.
7. **Testing and Documentation**: Thoroughly test all functionalities to ensure they work as expected. Provide comprehensive documentation detailing how to use AgentShell, including setup instructions, command usage, and customization options.

By following these steps, you will create a powerful and flexible command-line tool that significantly enhances interaction with AI agents through an intuitive terminal interface.