🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, obfuscation, and credential usage but raises suspicion due to its recently created repository with minimal activity and a single contributor, suggesting potential supply-chain attack indicators.

Recent repository creation
Minimal repository activity
Single contributor

Per-check LLM notes

Network: No network calls detected, which is normal for a math-focused package.
Shell: No shell execution detected, indicating the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Highly suspicious due to recent repository creation, minimal activity, and single contributor.

🔬 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 score 10.0

Git history flags: Repository created very recently: 5 day(s) ago (2026-06-01T10:59:00Z)

Repository created very recently: 5 day(s) ago (2026-06-01T10:59:00Z)
Repository has zero stars and zero forks
Single contributor with only 3 commit(s) — possibly throwaway account
All 3 commits happened within 24 hours

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "SuperInstance" 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 adinkra-math

Create a Python-based mini-application called 'Adinkra Visualizer' which allows users to encode and visualize data using West African Adinkra symbols, leveraging the 'adinkra-math' package. This tool will be particularly useful for data scientists who want to represent complex datasets in a culturally rich and meaningful way. The application should include the following features:

1. **Symbol Encoding**: Users can input their dataset and choose from a variety of Adinkra symbols that best represent different aspects of their data. The app will use the 'adinkra-math' package to encode these symbols mathematically, ensuring they can be accurately represented visually.

2. **Visualization Engine**: Implement a visualization engine that takes the encoded data and displays it as a series of interconnected Adinkra symbols. Each symbol's size, color, and position should reflect the underlying data values. The 'adinkra-math' package will be crucial here for transforming mathematical encodings into visual representations.

3. **Interactive Exploration**: Allow users to interactively explore the visualization by hovering over symbols to see tooltips with detailed information about the corresponding data points. Additionally, provide filters and sliders to adjust the visualization based on specific criteria, such as time periods or categories.

4. **Export Options**: Users should be able to export their visualizations as images or interactive web pages. For the web page option, utilize the 'adinkra-math' package to ensure that all symbols are correctly rendered and interactive.

5. **Educational Mode**: Include an educational mode where users can learn about the cultural significance and meanings behind each Adinkra symbol used in their visualization. This feature will not only enhance the user experience but also promote cultural appreciation.

Your task is to design and implement this application using Python and the 'adinkra-math' package. Focus on making the application intuitive and user-friendly, while ensuring that the visualizations are both accurate and aesthetically pleasing.