OpenJarvis

v1.0.2 safe
3.0
Low Risk

OpenJarvis — modular AI assistant backend with composable intelligence primitives

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all assessed categories, with only a slight concern regarding the maintainer's metadata.

  • No network calls or shell executions detected.
  • Maintainer has only one package, raising minor suspicion.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some 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

No shell execution patterns detected

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

Repository open-jarvis/OpenJarvis appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Open Jarvis Contributors" 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 OpenJarvis
Create a fully-functional personal task management app called 'TaskMaster' using the Python package 'OpenJarvis'. TaskMaster should allow users to manage their daily tasks efficiently while integrating advanced AI functionalities provided by OpenJarvis. Here’s a detailed breakdown of the project requirements and steps to utilize OpenJarvis effectively:

1. **User Authentication**: Implement a simple user authentication system where users can sign up and log in securely.
2. **Task Management Features**:
   - Add new tasks with descriptions, due dates, and priorities.
   - View, edit, and delete existing tasks.
   - Mark tasks as completed.
3. **AI-Enhanced Features Using OpenJarvis**:
   - **Voice Input/Output**: Allow users to dictate tasks and receive notifications via voice commands. Use OpenJarvis to handle speech recognition and synthesis.
   - **Smart Reminders**: Utilize OpenJarvis to analyze task details and suggest optimal times for reminders based on context (e.g., time of day, task priority).
   - **Task Scheduling**: Integrate OpenJarvis to assist in scheduling tasks more efficiently by considering overlapping tasks and user availability.
4. **Integration with External Services**:
   - **Calendar Sync**: Enable synchronization with popular calendar apps like Google Calendar to automatically schedule tasks.
   - **Email Notifications**: Send automated email reminders for upcoming tasks.
5. **User Interface**: Develop a clean and intuitive web-based interface using Flask or Django, ensuring accessibility and ease of use.
6. **Testing and Deployment**: Thoroughly test all functionalities and deploy the application on a cloud platform like Heroku or AWS.

To achieve these goals, you will need to leverage various modules within the OpenJarvis package such as its NLP capabilities for voice commands, machine learning models for smart reminders, and integration tools for external services. Ensure that your implementation highlights the modularity and composability of OpenJarvis to demonstrate its flexibility and power in building intelligent applications.