AI Analysis
The package exhibits low risks across various categories such as network, shell, obfuscation, and credential risks. While metadata risk is slightly elevated due to low repository activity and sparse maintainer information, there are no clear signs of malicious behavior.
- Low risk scores in network, shell, obfuscation, and credential checks.
- Elevated metadata risk due to limited maintainer information.
Per-check LLM notes
- Network: The observed network call patterns are typical for packages that require HTTP/HTTPS communication with an external service, suggesting legitimate functionality.
- Shell: No shell execution patterns were detected, indicating low risk for this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and maintainer's lack of details raise some concerns, but there are no clear indicators of malicious intent.
Package Quality Overall: Medium (6.2/10)
Test suite present — 18 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml18 test file(s) detected (e.g. integration_test.py)
Some documentation present
Documentation URL: "Documentation" -> https://docs.awsys.coDetailed PyPI description (7555 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
194 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 6 commits in AlphaWaveSystems/awsysco-python-sdkTwo distinct contributors found
Heuristic Checks
Found 2 network call pattern(s)
p("/") self._client = httpx.AsyncClient( base_url=self._base_url, headers={p("/") self._client = httpx.Client( base_url=self._base_url, headers={
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: awsys.co>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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 command-line utility called 'ShortenIt' using the Python package 'awsysco', which is the official SDK for the AWSYS.CO URL shortening service. This utility will allow users to shorten any given URL and provide analytics on the shortened URLs they create. Here's a detailed breakdown of the steps and features: 1. **Setup**: Install the necessary packages including 'awsysco'. Make sure to obtain an API key from AWSYS.CO for authentication. 2. **Main Functionality**: - Implement a function to accept user input for a URL to be shortened. - Use 'awsysco' to call the appropriate method to generate a shortened URL from the provided long URL. 3. **Analytics Feature**: - Add functionality to fetch and display click-through statistics for a given shortened URL. 4. **User Interface**: - Design a simple, intuitive CLI interface that guides the user through the process of shortening URLs and viewing analytics. 5. **Error Handling**: - Implement error handling to manage invalid inputs, failed API calls, and other potential issues gracefully. 6. **Additional Features**: - Allow batch processing of multiple URLs at once. - Enable saving of shortened URLs and their analytics to a local file for later reference. 7. **Documentation**: - Write comprehensive documentation explaining how to install and use the tool, including examples. This project will showcase your ability to integrate third-party APIs into a functional utility, handle user input and output effectively, and provide value-added features beyond basic functionality.
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