AI Analysis
The package has minimal risks associated with network calls, shell execution, and code obfuscation. However, the metadata quality and maintainer activity levels are concerning.
- Low risk for network and shell activities
- Metadata quality and maintainer activity are below average
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and metadata quality, which could indicate a lower level of trustworthiness.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://docs.asterwise.comDetailed PyPI description (3492 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
219 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 26 commits in asterwise/asterwise-pythonTwo 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
Email domain looks legitimate: asterwise.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a personalized astrological and spiritual guidance app using the 'asterwise' Python package. This app will serve as a daily companion for users interested in astrology, numerology, tarot readings, and more. The app will have a clean, user-friendly interface and will provide personalized insights based on user input such as their birth date, name, and other relevant details. Here are the key features of the app: 1. **Daily Horoscope**: Display a daily horoscope tailored to the user's zodiac sign. Users can choose between Western and Vedic astrology. 2. **Numerology Report**: Provide a brief report on the user's life path number based on their full name and date of birth. 3. **Tarot Card Reading**: Offer a daily tarot card reading, complete with a description of the card's meaning in the context of the user's current situation. 4. **Crystals Recommendation**: Suggest a crystal that aligns with the user's astrological sign and current needs. 5. **Dream Interpretation**: Allow users to enter their dreams and receive interpretations based on symbolic meanings associated with various dream elements. 6. **Personalized Dashboard**: Create a dashboard where users can view all the above information at a glance, with options to customize the layout and frequency of updates. 7. **Notifications**: Send push notifications to remind users about their daily horoscope, tarot reading, and any special astrological events. 8. **Settings & Preferences**: Enable users to set preferences for which types of guidance they want to receive and how often. To implement these features, you'll utilize the 'asterwise' package to interact with its API endpoints. For example, to fetch the daily horoscope, you would call the appropriate endpoint with the user's zodiac sign as a parameter. Similarly, for numerology reports, you'd use the endpoint designed for calculating life path numbers based on the provided name and date of birth. Each feature should leverage different endpoints from the package to provide a comprehensive and personalized experience for the user.
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