🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has potential risks due to its ability to execute shell commands and lack of maintainer activity, but lacks clear malicious intent or obfuscation.

Shell execution patterns
Low maintainer activity

Per-check LLM notes

Network: No network calls detected, which is normal for most packages.
Shell: Shell execution patterns indicate the package may execute arbitrary commands, which could be risky if not properly sanitized and intended.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows 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)

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_test

Create a terminal-based interactive assistant application using the Python package 'agentic_terminal_test'. This application will serve as a personal task manager, allowing users to manage their daily tasks via a command-line interface. The app should be able to create new tasks, mark tasks as completed, delete tasks, and list all current tasks. Additionally, it should support the ability to categorize tasks into different projects or categories and set due dates for each task.

The application should leverage the 'agentic_terminal_test' package to enhance its terminal capabilities, making the user interaction more intuitive and responsive. Use the package's features to implement autocomplete for commands, context-sensitive help, and syntax highlighting for better readability of input commands.

Steps to develop the application:
1. Set up a Python virtual environment and install the 'agentic_terminal_test' package.
2. Design the data structure to store tasks, including fields for task name, status, category, and due date.
3. Implement command handlers for adding, listing, marking as completed, deleting, and editing tasks.
4. Integrate 'agentic_terminal_test' to enable autocomplete for commands like 'add', 'list', 'mark', 'delete', etc., and provide context-sensitive help when a user types '?' after a command.
5. Add syntax highlighting for the commands to improve the visual experience of the terminal.
6. Test the application thoroughly to ensure all functionalities work as expected and the terminal interaction feels smooth and efficient.
7. Document the usage instructions for the application, detailing how to use each feature effectively.

Suggested Features:
- Ability to search for tasks based on keywords, category, or due date.
- Support for setting reminders for upcoming due dates.
- Integration with a calendar API to visualize tasks on a calendar view.
- Persistent storage of tasks using a local database.