agentic_terminal_v1

v0.1.0 suspicious
4.0
Medium Risk

MCP server that enables secure terminal execution capabilities for AI agents

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits potential risks due to shell execution capabilities and low maintainer activity, though it does not show signs of obfuscation, network calls, or credential mishandling.

  • Shell execution capability detected
  • Low maintainer activity and poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of immediate risk.
  • Shell: Shell execution patterns detected may indicate the package executes arbitrary commands or scripts, posing a potential risk for privilege escalation or other malicious activities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The package shows several signs of low maintainer activity and poor metadata quality, raising concerns about its legitimacy.

🔬 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, ch
  • ess try: result = subprocess.run( ['python', '-c', code], check=True,
  • ess try: result = subprocess.run( ['python', file], check=True,
  • port subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subproce
  • command, shell=True, check=True, stdout=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_v1 
Your task is to develop a secure command-line interface (CLI) utility called 'SecureAIExecutor' using the Python package 'agentic_terminal_v1'. This utility will allow users to securely execute commands on remote servers via an AI agent, ensuring that all interactions are logged and audited for security compliance.

### Project Overview:
- **Name:** SecureAIExecutor
- **Purpose:** To provide a secure, AI-driven CLI for executing commands on remote servers.
- **Key Features:**
  - Authentication: Users must authenticate before any commands are executed.
  - Command Execution: Users can input commands to be executed on remote servers.
  - Logging & Auditing: All commands and their outputs are logged and can be reviewed for auditing purposes.
  - Security Enhancements: Implementations to ensure that the communication between the client and server is secure.

### Steps to Develop the Utility:
1. **Setup Environment:** Ensure your development environment is set up with Python and the 'agentic_terminal_v1' package installed.
2. **Authentication Mechanism:** Design and implement an authentication mechanism where users must log in before they can use the tool. Consider using tokens or session-based authentication.
3. **Command Execution Interface:** Create a user-friendly CLI where users can input commands to be executed on remote servers.
4. **Utilize 'agentic_terminal_v1':** Use the 'agentic_terminal_v1' package to establish a secure connection with the remote server and execute commands through the AI agent provided by the package.
5. **Logging & Auditing:** Implement logging for all user actions and command executions. Ensure that logs are stored securely and can be accessed for auditing.
6. **Security Enhancements:** Implement additional security measures such as encryption for data in transit and at rest.
7. **Testing:** Thoroughly test the application to ensure it meets all security requirements and functions correctly.
8. **Documentation:** Provide clear documentation on how to install, configure, and use the 'SecureAIExecutor' utility.

### How 'agentic_terminal_v1' is Utilized:
- Establishing Secure Connections: Use the 'agentic_terminal_v1' package to create a secure channel between the user's machine and the remote server.
- Executing Commands: Leverage the package's capabilities to securely pass commands from the user to the remote server through the AI agent.
- Monitoring & Control: Monitor the execution of commands and control the flow of information between the user and the remote server.

By following these steps and utilizing the 'agentic_terminal_v1' package effectively, you will have developed a powerful, secure, and user-friendly tool for executing commands remotely.

💬 Discussion Feed

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