AI Analysis
The package aiosteampy v0.7.21 is assessed as safe with very low risk indicators. There are no signs of obfuscation or credential harvesting.
- No obfuscation patterns detected
- No credential harvesting patterns detected
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Medium (5.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://aiosteampy.somespecial.oneDetailed PyPI description (7608 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed210 type-annotated function signatures detected in source
Active multi-contributor project
8 unique contributor(s) across 100 commits in somespecialone/aiosteampyActive community — 5 or more distinct 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: somespecial.one
All external links appear legitimate
Repository somespecialone/aiosteampy appears legitimate
1 maintainer concern(s) found
Author "Dmytro Tkachenko" 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 Python-based mini-application that allows users to interact with the Steam Market efficiently using the 'aiosteampy' package. This application will serve as a tool for gamers to manage their items on the Steam Marketplace more effectively. Here are the key functionalities your app should include: 1. **Item Lookup**: Users should be able to search for specific items on the Steam Market. Utilize 'aiosteampy' to fetch item details such as price history, current offers, and trade status. 2. **Trade Offers Management**: Implement functionality for managing trade offers. Use 'aiosteampy' to send, accept, and decline trade offers. Also, allow users to view their trade history. 3. **Guard Authentication**: Integrate Steam Guard support to ensure secure transactions. Use 'aiosteampy' to handle the authentication process when initiating trades or other actions that require two-factor authentication. 4. **Price Tracking Alerts**: Provide an alert system that notifies users via email or SMS when the price of an item they are tracking drops below a certain threshold. This feature should leverage 'aiosteampy' for fetching real-time pricing data. 5. **Marketplace Item Listing**: Enable users to list their items for sale on the Steam Market. Use 'aiosteampy' to create and manage listings, including setting prices and adjusting quantities. 6. **User Interface**: Develop a simple yet intuitive user interface for interacting with the application. Consider building a web-based UI using Flask or Django, allowing users to access these features through a browser. 7. **Data Persistence**: Ensure that user data and settings are stored securely. Use SQLite or another lightweight database solution to persistently store user information and preferences. 8. **Logging and Error Handling**: Implement robust logging mechanisms to track user activities and potential issues. Use Python's built-in logging module to log errors and critical events for troubleshooting. To achieve these functionalities, you'll need to familiarize yourself with 'aiosteampy', specifically its methods related to querying the Steam Web API, managing trade offers, and handling Steam Guard. Make sure to document each step of the development process, including any challenges faced and how they were overcome. Your final product should be a functional, user-friendly application that showcases the capabilities of 'aiosteampy'.