🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high risks due to its capability to execute shell commands, which can lead to potential system compromise. While there are no definitive signs of malicious intent, the combination of risks warrants further investigation.

High shell risk due to direct execution of shell commands
Potential network interactions with external URLs

Per-check LLM notes

Network: Making network calls to external URLs is unusual and could indicate data collection or interaction with external services, but it's not definitively malicious without context.
Shell: Executing shell commands directly using os.system can be highly risky as it allows arbitrary command execution, potentially leading to system compromise or data exfiltration.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low activity and possibly low maintainer effort, but lacks clear malicious indicators.

📦 Package Quality Overall: Low (2.6/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 10 commits in ulnit/ai-agent-toolkit
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

ext""" try: req = urllib.request.Request(url, headers={'User-Agent': 'AI-Agent-Toolkit/1.0'})
Toolkit/1.0'}) html = urllib.request.urlopen(req, timeout=15).read().decode('utf-8', errors='repl

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

int(f" {f}") os.system(command) prev = current

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

⚠ Registered Email Domain score 3.0

Suspicious email domain flags: Very short email domain: qq.com

Very short email domain: qq.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "ulnit" 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 ai-agent-toolkit

Create a command-line interface (CLI) utility named 'AI-TaskMaster' using the Python package 'ai-agent-toolkit'. This tool will serve as a personal assistant for managing daily tasks and appointments. Here’s a detailed breakdown of its functionalities:

1. **Task Management**: Users can add, view, update, and delete tasks. Each task should have a title, description, priority level (low, medium, high), and due date.
2. **Appointment Scheduling**: Users can schedule appointments with details like title, location, start time, end time, and a brief note about the appointment.
3. **Notifications**: Implement notifications for upcoming tasks and appointments. Notifications should be sent via email or SMS, configurable by the user.
4. **Integration with Calendar Services**: Integrate with Google Calendar or any other calendar service to synchronize tasks and appointments automatically.
5. **Voice Commands**: Utilize voice recognition technology to allow users to interact with the system through voice commands. This feature should support basic operations like adding tasks, scheduling appointments, and setting reminders.
6. **Data Export/Import**: Provide options to export all data (tasks and appointments) into a CSV file and import them back into the system.
7. **User Authentication**: Ensure secure access to the application with user authentication. Use OAuth 2.0 for integration with services like Google Calendar.
8. **Customization**: Allow users to customize their experience by choosing themes, setting up default notification preferences, etc.

**Utilizing 'ai-agent-toolkit' Package**:
- Use 'ai-agent-toolkit' for building the CLI interface and handling basic interactions.
- Leverage its AI capabilities to process voice commands and improve user interaction.
- Employ the toolkit's utilities for data manipulation and management to streamline task and appointment handling.

Your goal is to create a user-friendly, efficient, and interactive CLI utility that enhances productivity and simplifies daily life through effective task and appointment management.