AI Analysis
The package has low immediate execution risks but raises concerns due to its new upload status and limited maintainer history, suggesting potential supply-chain risks.
- Minimal maintainer history
- Limited author information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function.
- Shell: No shell execution patterns detected, indicating no direct command execution risks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is newly uploaded with minimal maintainer history and author information, raising concerns about its legitimacy.
Package Quality Overall: Medium (5.4/10)
Test suite present β 8 test file(s) found
Test runner config found: pyproject.toml8 test file(s) detected (e.g. test_convert.py)
Some documentation present
Detailed PyPI description (3033 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
39 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 50 commits in typedev/AnchorsFactoryTwo distinct contributors found
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
Suspicious email domain flags: Very short email domain: me.com>
Very short email domain: me.com>
All external links appear legitimate
Repository typedev/AnchorsFactory appears legitimate
4 maintainer concern(s) found
Only one version has ever been released β brand new packagePackage is very new: uploaded 2 day(s) agoAuthor 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 font customization tool using the Python package 'anchorsfactory'. This tool will allow users to upload their UFO (.ufo) font files and customize the anchor points of glyphs within the font, enhancing kerning and overall typographic quality. Hereβs a detailed breakdown of the project requirements: 1. **User Interface**: Develop a simple yet intuitive web interface where users can upload their UFO font files. The UI should also display a preview of the uploaded font and allow users to select specific glyphs for modification. 2. **Anchor Point Customization**: Implement functionality to allow users to add, modify, or delete anchor points on selected glyphs. Users should be able to specify the type of anchor point (e.g., top, bottom, side-bearing) and its coordinates. 3. **Preview and Save**: Provide a live preview feature so users can see changes in real-time as they adjust anchor points. Additionally, include a save option that allows users to download their modified UFO file. 4. **Documentation and Help**: Offer comprehensive documentation and a help section within the app explaining common use cases and best practices for anchor point placement. 5. **Integration with AnchorsFactory**: Utilize the 'anchorsfactory' package to handle the core logic of placing and adjusting anchor points based on user input. Ensure that the packageβs rule-driven approach is leveraged to provide intelligent suggestions for optimal anchor placement. 6. **Testing and Validation**: Include automated tests to validate the correctness of anchor placements and ensure that the UFO file format is correctly maintained after modifications. 7. **Deployment**: Plan for deployment on a cloud platform like AWS or Heroku, ensuring the application is accessible over the internet. This project aims to empower designers and developers to refine their font designs with precision, making it easier to achieve professional-quality typography.