AI Analysis
The package aiosend v3.0.6 appears to be low-risk in terms of direct threats like network calls or shell executions. However, incomplete maintainer information and potentially inactive account status raise concerns about its origin and maintenance.
- Incomplete maintainer author information
- Potentially inactive maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
- Metadata: The maintainer's author information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://aiosend.rtfd.io/Detailed PyPI description (2767 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project54 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in vovchic17/aiosendSmall but multi-author team (3–4 contributors)
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
Repository vovchic17/aiosend appears legitimate
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 cryptocurrency payment gateway mini-application using the Python package 'aiosend'. This application will serve as a bridge between merchants and cryptocurrency wallets, allowing for seamless transactions. The application should be designed to handle both synchronous and asynchronous operations, leveraging the capabilities of the 'aiosend' package. Step 1: Setup the Project - Initialize a new Python project and install the 'aiosend' package. - Set up a virtual environment to manage dependencies. Step 2: Define the Application Structure - Create a main module for handling the application logic. - Design a configuration file for storing API keys, wallet addresses, and other sensitive information securely. - Implement logging to track transactions and errors. Step 3: Implement Core Features - Use 'aiosend' to integrate with a Crypto Pay API for processing payments. - Develop functions for initiating payments, checking transaction status, and confirming payments. - Ensure that the application can handle different cryptocurrencies supported by the API. Step 4: Enhance Functionality - Add support for webhooks to notify the merchant about payment statuses in real-time. - Integrate with a frontend framework (like Flask or Django) to create a simple UI for managing payments. - Implement user authentication to secure access to the payment management interface. Step 5: Testing and Deployment - Write unit tests for the backend functionality. - Perform integration testing with the actual Crypto Pay API. - Deploy the application on a cloud service like AWS or Heroku. The goal is to create a robust, secure, and user-friendly mini-application that demonstrates the full potential of the 'aiosend' package in handling cryptocurrency payments.
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