AI Analysis
The package shows minimal direct risks such as network calls, shell execution, obfuscation, or credential harvesting. However, the metadata risk due to low repository activity and an inactive maintainer account raises suspicion.
- Low repository activity
- Inactive maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and the maintainer's new/inactive account suggest potential risk, but there are no clear signs of typosquatting or malicious intent.
Package Quality Overall: Medium (5.6/10)
Test suite present — 6 test file(s) found
Test runner config found: pyproject.toml6 test file(s) detected (e.g. test_audience.py)
Some documentation present
Documentation URL: "Documentation" -> https://sixty-north.github.io/asyoulikeit/Detailed PyPI description (12721 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
79 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 97 commits in sixty-north/asyoulikeitSingle author but highly active (97 commits)
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: sixty-north.com>
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 Python-based utility called 'ReportGenerator' that leverages the 'asyoulikeit' package to generate multi-format reports from command line inputs. This tool should allow users to input data via command line arguments and then output the report in various formats such as PDF, HTML, and CSV. The application should include the following functionalities: 1. **Input Data Handling**: Users should be able to provide data either through direct command line arguments or by specifying a file path. 2. **Report Customization**: Allow users to customize the report's title, subtitle, and footer text. 3. **Output Format Selection**: Users should have the option to choose the desired output format (PDF, HTML, CSV). 4. **Error Handling**: Implement robust error handling to manage incorrect inputs and file operations. 5. **Interactive Mode**: Provide an interactive mode where users can input parameters directly in the console. 6. **Help and Documentation**: Include comprehensive help documentation accessible via command line options. The 'asyoulikeit' package will be utilized to handle the formatting and generation of reports in different formats. Specifically, it will be responsible for converting structured data into well-formatted documents according to user specifications. Ensure that your application demonstrates the flexibility and power of 'asyoulikeit' by showcasing its ability to produce professional-looking reports easily.
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