🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories with no network calls, shell executions, obfuscations, or credential harvesting attempts. The metadata suggests it might be from a new maintainer but lacks other suspicious indicators.

No network calls
Single package from the maintainer

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution detected, indicating no immediate risk of command injection or similar attacks.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags were identified.

🔬 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

Email domain looks legitimate: example.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mewannacode-egg/acentic appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Gurumayum Surzaluxmi Sharama" 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 acentic

Create a mini-application called 'MathMaster' that leverages the 'acentic' Python package for performing high-precision mathematical computations. The app should serve as a versatile tool for users interested in exploring advanced mathematical concepts and operations. Here are the key steps and features to include:

1. **Setup Environment**: Begin by installing Python and setting up a virtual environment. Next, install the 'acentic' package from PyPI or any other repository.
2. **Core Features**:
   - Implement a feature to calculate complex numbers, leveraging 'acentic's C-based precision for handling large numbers without loss of accuracy.
   - Include a matrix operations module where users can perform addition, subtraction, multiplication, inversion, and determinant calculation on matrices.
3. **User Interface**:
   - Design a simple command-line interface (CLI) for easy interaction.
   - Offer options to input data directly via the CLI or through a file upload mechanism.
4. **Advanced Calculations**:
   - Integrate functions for numerical integration and differentiation using 'acentic's capabilities for high-precision calculations.
5. **Documentation and Testing**:
   - Write comprehensive documentation detailing how each function works and how to use them effectively.
   - Develop a suite of tests to ensure the correctness and reliability of the implemented features.
6. **Deployment**:
   - Package the application into an executable form that can be distributed easily.
   - Consider creating a Docker container for consistent execution across different environments.

By following these guidelines, you'll create a powerful yet user-friendly application that showcases the strengths of the 'acentic' package.