AI Analysis
The package shows minimal direct risks but has a non-secure external link and lacks maintainer information, raising concerns about its origin and maintenance.
- Non-secure external link
- Lack of maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal for many packages.
- Shell: Shell execution to check version is likely benign, intended for package management and verification.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The package has a non-secure external link and lacks maintainer information, which raises some suspicion but does not definitively indicate malice.
Package Quality Overall: Medium (6.2/10)
Test suite present — 14 test file(s) found
Test runner config found: pyproject.toml14 test file(s) detected (e.g. __init__.py)
Some documentation present
Detailed PyPI description (1868 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 project162 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 97 commits in alganet/apywireSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
works correctly result = subprocess.run( [sys.executable, "-m", "apywire", "--version"],
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000
Repository alganet/apywire 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 Python-based configuration management tool called 'ConfigWire' that leverages the 'apywire' package to manage and wire up complex configurations across different environments (development, staging, production). Your task is to design a utility that allows developers and system administrators to easily define, manage, and switch between various configuration settings without needing to manually edit files each time a change is required. Step 1: Define the structure of your configurations. Each environment should have its own set of configuration parameters such as database URLs, API keys, logging levels, etc. Use 'apywire' to define these configurations as objects that can be wired together. Step 2: Implement a feature within ConfigWire that allows users to load different configurations based on the current environment. For example, when running the application in 'development', it should automatically load the development-specific configurations. Step 3: Add a command-line interface (CLI) to your application so that users can interact with ConfigWire from their terminal. This CLI should allow them to: - List all available configurations - Load a specific environment's configuration - Save changes made to a configuration - Compare differences between two environments' configurations Suggested Features: - Support for multiple configuration formats (JSON, YAML) - Ability to override default configurations with user-defined ones - Versioning of configurations - Notifications when configurations are changed or loaded How 'apywire' is Utilized: - Use 'apywire' to create and manage the wiring of configuration objects. This includes defining interfaces for common configuration elements and ensuring that the correct configurations are wired together based on the environment. - Leverage 'apywire' to handle dependencies between configurations, allowing for more modular and flexible setup processes.
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