AI Analysis
The package shows low risks in terms of network, shell execution, obfuscation, and credential handling. However, the lack of an associated GitHub repository and insufficient author details elevate metadata risk, making it suspicious.
- No network calls or shell executions detected
- Insufficient author details and no associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell execution detected, indicating the package does not attempt to execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the author details are insufficient, suggesting potential unreliability.
Package Quality Overall: Low (4.4/10)
Test suite present — 5 test file(s) found
5 test file(s) detected (e.g. test_bch_primitives.py)
Some documentation present
Detailed PyPI description (1832 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
27 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application that simulates a simplified version of a financial hedging tool using the 'anyhedge' package. Your application should allow users to input various financial parameters such as investment amount, risk tolerance, and market conditions to generate a hedge strategy. Here are the steps and features your application should include: 1. **User Input Form**: Design an intuitive form where users can enter their investment details including the initial investment amount, expected return on investment, and their risk tolerance level. 2. **Risk Assessment Module**: Implement a module that calculates the potential risks based on the user inputs and current market data (you can simulate market data). 3. **Hedge Strategy Generation**: Use the 'anyhedge' package to generate a hedge strategy that mitigates the identified risks. The application should output the recommended hedge instruments and quantities. 4. **Visualization Tool**: Include a simple visualization tool that graphically represents the impact of the hedge on the user's portfolio over time. 5. **Report Generation**: Allow users to download a report summarizing the analysis and recommendations provided by the application. 6. **Interactive Dashboard**: Develop an interactive dashboard that allows users to tweak different variables and instantly see how changes affect their hedge strategy. The 'anyhedge' package will be crucial in this project as it provides the basic components needed to create and manage hedge contracts. Your task is to integrate these components into a user-friendly interface that not only educates users about financial hedging but also empowers them to make informed decisions.
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