🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks with standard network calls and potential unvalidated shell executions. There are no signs of obfuscation, credential harvesting, or other malicious activities.

Low obfuscation risk
No credential risk detected

Per-check LLM notes

Network: The network calls detected seem to be standard operations for fetching metadata or updates from a remote server, which is common in legitimate software updates.
Shell: Executing shell commands can be part of automated testing or setup processes. However, the use of subprocess.run without stringent input validation might pose a risk if the command inputs are not controlled.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, suggesting no immediate threat to stored secrets.
Metadata: The maintainer has only one package, suggesting a potentially new or less active account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

= time.time() s = socket.create_connection((host, port), timeout=2) latency = round((time.t
AutoTools/json" req = urllib.request.Request(pypi_url) with urllib.request.urlopen(req, t
equest(pypi_url) with urllib.request.urlopen(req, timeout=timeout) as response: if re
/json" try: req = urllib.request.Request(pypi_url) with urllib.request.urlopen(req, t
equest(pypi_url) with urllib.request.urlopen(req, timeout=5) as response: if response
ry: ips['ipv4'] = requests.get(service, timeout=2).text.strip() if ips['ipv4']:

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

e))) try: subprocess.run([sys.executable, '-m', 'pip', 'install', 'pytest', 'pytest-c
process(cmd, env): return subprocess.Popen( cmd, env=env, stdout=subprocess.PIP
try: completed = subprocess.run( list(argv), text=True, stdout=subprocess.PIPE, stderr=subpr

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository BabylooPro/Open-AutoTools appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "BabylooPro" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Open-AutoTools

Your task is to develop a fully-functional mini-app called 'AutoTaskMaster' which leverages the capabilities of the 'Open-AutoTools' package. This app will serve as a personal productivity assistant, enabling users to automate repetitive tasks efficiently through a user-friendly CLI interface. Here’s a detailed breakdown of the project requirements and steps to get you started:

1. **Project Setup**: Begin by setting up your development environment. Ensure you have Python installed along with pip for managing packages. Install the 'Open-AutoTools' package using pip.

2. **Core Functionality**: The core functionality of AutoTaskMaster revolves around scheduling tasks and executing them at predefined intervals. Users should be able to define tasks, set schedules, and manage their task lists directly from the CLI.

3. **Suggested Features**:
- Task Definition: Allow users to specify tasks such as running scripts, sending emails, or updating files.
- Schedule Configuration: Enable users to set schedules using cron-like expressions for precise control over when tasks execute.
- Task Management: Implement commands for adding, removing, and listing tasks.
- Execution Status: Provide real-time status updates on task execution and log errors if any.

4. **Integration with Open-AutoTools**: Utilize 'Open-AutoTools' to streamline the automation process. For instance, use its built-in scheduler to handle task timing without reinventing the wheel. Additionally, leverage any other utilities provided by 'Open-AutoTools' to enhance the robustness and reliability of your app.

5. **User Interface**: Design a clean and intuitive CLI interface that guides users through the setup and management of their tasks. Consider implementing a help command that explains all available options and functionalities.

6. **Testing and Validation**: Before finalizing the project, ensure thorough testing of all features. Test under various conditions to validate the reliability and efficiency of your app. Pay special attention to error handling and logging mechanisms.

7. **Documentation**: Prepare comprehensive documentation detailing how to install and use AutoTaskMaster. Include examples of common use cases and troubleshooting tips.

By following these guidelines, you'll create a powerful yet easy-to-use tool that significantly enhances personal productivity through automation.