AI Analysis
The package shows moderate risk due to missing maintainer information and lack of an associated Git repository, which raises concerns about its origin and maintenance.
- Missing maintainer information
- No associated Git repository
Per-check LLM notes
- Network: Use of requests.Session is common for making HTTP requests and may be legitimate depending on the package's functionality.
- Shell: No shell execution patterns detected, indicating low risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has some red flags including missing maintainer information and no associated Git repository, but there are no clear signs of typosquatting or other malicious intent.
Package Quality Overall: Low (3.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://anymessage.shop/en/docsDetailed PyPI description (11973 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
59 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
Found 1 network call pattern(s)
requests.Session = session or requests.Session() # Optionally attach retry adapters for better n
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
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 Python-based mini-application called 'EmailGuard' which leverages the 'anymessage-sdk' package to provide users with temporary email addresses for online privacy protection. EmailGuard will allow users to generate a new temporary email address, receive emails, and manage these addresses from within the application. Additionally, it will offer basic analytics such as the number of received emails and when they were sent. Steps to Build EmailGuard: 1. Set up a Python virtual environment and install the 'anymessage-sdk' package. 2. Design a simple command-line interface (CLI) where users can interact with EmailGuard. 3. Implement functionality to generate a new temporary email address using the SDK. 4. Add the ability to fetch and display incoming emails associated with the generated temporary email addresses. 5. Include options for users to delete specific temporary email addresses or all addresses at once. 6. Integrate basic analytics showing the count of emails received and timestamps. 7. Ensure the application logs all interactions securely and adheres to privacy guidelines. 8. Test the application thoroughly under different scenarios to ensure reliability and security. 9. Document the code and provide usage instructions for other developers. Suggested Features: - User-friendly CLI for ease of interaction. - Option to set custom names for temporary email addresses. - Notifications for new incoming emails. - Export functionality to save email data to a file. - Support for multiple temporary email addresses per user session. How 'anymessage-sdk' is Utilized: - Use the SDK's API to generate new temporary email addresses. - Leverage the SDK to retrieve emails associated with the temporary addresses. - Employ the SDK's capabilities to manage the lifecycle of these temporary addresses, including deletion. - Analyze email metadata provided by the SDK to track basic metrics like email count and timing.
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