aurex

v0.1.0 safe
4.0
Medium Risk

Aurex — Terminal AI Coding Agent powered by NVIDIA NIM

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no direct evidence of malicious activity. The primary concerns are related to the use of potentially risky functions like os.system and subprocess.run, but these are not uncommon in legitimate packages.

  • No network calls detected
  • Low obfuscation and credential risk
  • Potential misuse of system command execution functions
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Use of os.system and subprocess.run with shell=True may indicate potential risks but without context of commands used, it's hard to determine malicious intent; however, these are common practices for executing system commands.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some signs of low effort and potential unreliability, but there's no clear indication of malicious intent.

📦 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 (2288 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

  • 20 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

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • ──── def main() -> None: os.system("clear" if os.name == "posix" else "cls") ui.print_banne
  • t.clear_history() os.system("clear" if os.name == "posix" else "cls") ui.pri
  • tr: try: result = subprocess.run( command, shell=True, capture_output=True, text=
  • ess.run( command, shell=True, capture_output=True, text=True, timeout=60 )
✓ 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 aurex 
Create a terminal-based code generation assistant named 'CodeScribe' using the Python package 'aurex'. CodeScribe should leverage the power of NVIDIA NIM to provide intelligent suggestions and generate code snippets based on user input. The assistant should be capable of understanding natural language inputs to generate Python code, JavaScript code, and basic HTML templates. Additionally, it should offer real-time syntax checking and error correction capabilities.

Steps to create the application:
1. Set up the environment by installing the 'aurex' package and any other necessary dependencies.
2. Design a command-line interface (CLI) where users can interact with CodeScribe.
3. Implement functionality that allows users to input their coding problems or requirements in natural language.
4. Use the 'aurex' package to process these inputs and generate appropriate code snippets.
5. Add features such as real-time syntax checking and error correction using the capabilities provided by 'aurex'.
6. Allow users to specify the programming language they want to work with (Python, JavaScript, HTML).
7. Integrate a feature that allows users to save their generated code snippets directly into their local file system.
8. Test the application thoroughly to ensure it works as expected and provides accurate code generation.
9. Document the application's usage and include instructions on how to install and run it.

Suggested Features:
- Multi-language support (Python, JavaScript, HTML)
- Real-time code suggestion and auto-completion
- Syntax highlighting and error detection
- User-friendly CLI interface
- Saving and loading of previous sessions
- Integration with popular IDEs or text editors (optional)

How 'aurex' is utilized:
- 'aurex' will be the backbone of CodeScribe, providing the AI-driven capabilities needed for understanding natural language inputs and generating code snippets. It will also handle real-time syntax checking and error correction through its integration with NVIDIA NIM.

💬 Discussion Feed

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