AI Analysis
The aus-identity package presents a low risk profile with no detected network calls, shell executions, obfuscations, or credential risks. However, the metadata risk score is elevated due to the maintainer having only one package and an untraceable git repository, which raises suspicion.
- Metadata risk due to single package from maintainer
- Untraceable git repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and the git repository is not found, raising suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.6/10)
Test suite present — 3 test file(s) found
Test runner config found: pyproject.toml3 test file(s) detected (e.g. test_period.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Bigred97/aus-identity#readmeDetailed PyPI description (5730 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed31 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
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
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
1 maintainer concern(s) found
Author "Harry Vass" 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 named 'AustralianDataLinker' that leverages the 'aus-identity' package to facilitate the linking of various Australian public datasets based on geographical identifiers such as postcodes and states. This application will serve as a tool for researchers, analysts, and developers who need to integrate different data sources from various Australian governmental bodies. The app should include the following functionalities: 1. **Data Input Interface**: Users should be able to input their dataset containing at least one column of postcodes or state names. 2. **Normalization Process**: Utilize the 'aus-identity' package to normalize the state codes within the provided dataset, ensuring consistency across different datasets. 3. **Crosswalk Generation**: For each unique postcode in the dataset, generate a corresponding state name using the crosswalk functionality provided by the 'aus-identity' package. 4. **Output Data**: Provide an output file (CSV format) with the original data enriched with normalized state codes and associated state names. 5. **User Feedback**: Implement a user-friendly interface or feedback mechanism that guides users through the process and alerts them of any issues or inconsistencies found during the normalization and crosswalk processes. 6. **Documentation**: Include comprehensive documentation detailing how to use the application, including examples and explanations of the 'aus-identity' package's functions used in the application. The application should be designed with modularity in mind, allowing for easy updates and extensions as new functionalities are added to the 'aus-identity' package.
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