AI Analysis
The package has minimal risks associated with it, as indicated by low scores across all assessed categories. It does not make any network calls or execute shell commands, and there's no evidence of code obfuscation or credential harvesting.
- No network calls detected.
- No shell execution patterns found.
- Low obfuscation risk.
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 signs of malicious shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low engagement and lacks essential information, raising some concerns but not strong indicators of malice.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (3087 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
173 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: bytedance.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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 fully-functional mini-app using the 'arkitect' package that helps users to generate personalized travel itineraries based on their preferences. The app should allow users to input their desired travel dates, preferred activities, and locations. Based on this information, the app will utilize the 'arkitect' package to integrate with various APIs to fetch real-time data such as weather forecasts, local events, and popular attractions. Additionally, the app should include features like saving multiple itineraries, sharing them via social media, and getting recommendations based on user feedback. Use the 'arkitect' package to streamline the integration of different services and ensure a seamless user experience. Provide a clear UI design and detailed documentation on how each feature is implemented.
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