artificialbrains-sdk

v0.2.5 suspicious
3.0
Low Risk

ArtificialBrains Python SDK

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate network risk due to potential unauthorized data transmission but lacks other common indicators of malicious activity. The missing metadata is concerning but does not definitively point to malice.

  • Moderate network risk due to potential credential usage
  • Missing author information and no linked GitHub repository
Per-check LLM notes
  • Network: Detected network calls with potential credential usage suggest possible unauthorized data transmission.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some red flags such as missing author information and no linked GitHub repository, but no clear signs of typosquatting or other malicious activities.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4569 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 87 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • redentials" ) resp = httpx.post( url, json={ "projectId": projec
  • api_key}" self.http = httpx.Client( base_url=self.base_url, headers=hea
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 artificialbrains-sdk 
Create a fully functional mini-application that leverages the ArtificialBrains Python SDK to enhance user interaction through AI-driven conversations. This application will serve as a personal assistant, capable of performing various tasks such as setting reminders, providing weather updates, and answering general knowledge questions. Here’s a detailed breakdown of the project requirements and steps:

1. **Setup Environment**: Ensure you have Python installed on your system and install the 'artificialbrains-sdk' package using pip.
2. **Project Structure**: Organize your project into modules for better readability and maintainability. Consider having separate files for configuration, conversation logic, and integration with external APIs.
3. **Initialization**: Set up the application to initialize the ArtificialBrains SDK, authenticate with your API keys, and establish a connection to the AI service.
4. **User Interface**: Design a simple command-line interface (CLI) or a basic web interface where users can interact with the assistant. For simplicity, focus on CLI interactions in this project.
5. **Core Functionality**:
   - Implement a function that allows the user to set reminders. Use the ArtificialBrains SDK to process natural language inputs and understand the context.
   - Integrate with a weather API (e.g., OpenWeatherMap) to fetch current weather conditions based on user location queries.
   - Enable the assistant to answer general knowledge questions by leveraging the AI capabilities provided by the ArtificialBrains SDK.
6. **Enhancements**:
   - Add a feature to save and retrieve past conversations from a local file or a database.
   - Incorporate voice input/output support using libraries like PyAudio for a more interactive experience.
7. **Testing**: Write unit tests for each module to ensure reliability and functionality.
8. **Documentation**: Provide clear documentation on how to run the application, including setup instructions and usage examples.

Throughout the development process, utilize the 'artificialbrains-sdk' package's core features to handle complex tasks such as understanding natural language, integrating with external services, and managing user interactions efficiently.

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