AI Analysis
Final verdict: SUSPICIOUS
The package has moderate risks due to its ability to execute shell commands and poor metadata quality, though no direct evidence of malicious intent was found.
- Shell risk detected
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is low risk.
- Shell: Detection of shell execution suggests potential for executing arbitrary commands, which could be used maliciously.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising suspicion but not conclusive evidence of malintent.
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, stds try: result = subprocess.run(['python', '-c', code], check=True, stdout=subprocess.PIPE,s try: result = subprocess.run(['python', file], check=True, stdout=subprocess.PIPE, stderrrt subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subproult = 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 packageAuthor name is missing or very shortAuthor "" 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_mcp
Create a command-line utility called 'TerminalGuru' using the 'agentic_terminal_mcp' package that enhances user interaction with their terminal environment. TerminalGuru should offer a variety of functionalities including but not limited to executing shell commands, managing files and directories, and providing real-time feedback on system status. The application should also support custom scripts and plugins to extend its functionality. Step 1: Initialize the project and install 'agentic_terminal_mcp'. Step 2: Design a user-friendly interface that allows users to input commands and view outputs directly within the terminal. Step 3: Implement core functionalities such as executing basic shell commands (ls, cd, mkdir, etc.), managing files and directories, and displaying system information (CPU usage, memory usage). Step 4: Utilize the 'agentic_terminal_mcp' package to enable advanced features like asynchronous command execution, interactive sessions, and integration with external services via API calls. Step 5: Develop a plugin system that allows users to add custom scripts or integrate third-party tools into TerminalGuru. Step 6: Test the application thoroughly to ensure all functionalities work as expected and provide a seamless user experience. Step 7: Document the codebase and create a user guide to help others understand how to use TerminalGuru effectively. Suggested Features: - Support for tab completion and history management. - Ability to save and load sessions. - Integration with cloud storage services for remote file management. - Customizable themes and keyboard shortcuts. Utilizing 'agentic_terminal_mcp': Integrate the package to handle terminal interactions, manage sessions, and execute commands efficiently. Leverage its capabilities to enhance the user experience and simplify development efforts.