AI Analysis
Final verdict: SAFE
The Aquilia package presents minimal risks based on the analysis, with no indications of network calls, shell execution, obfuscation, or credential harvesting. The only concern is a non-HTTPS external link in the metadata, which slightly increases the risk score but does not indicate malicious intent.
- No network calls detected
- No shell execution detected
- Non-HTTPS external link in metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution detected, indicating no immediate risk of command injection or unauthorized system access.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The presence of a non-HTTPS external link raises some concern, but other indicators do not suggest significant risk.
Package Quality Overall: Medium (7.4/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
Test runner config found: pyproject.toml
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://github.com/axiomchronicles/Aquilia#readmeDetailed PyPI description (7775 chars)
✦ High
Contributing Guide
9.0
Has contribution guidelines and governance files
Governance file: security.pyDevelopment Status classifier >= Beta
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: Typed458 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 100 commits in axiomchronicles/AquiliaSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com>
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000
Git Repository History
Repository axiomchronicles/Aquilia appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Pawan Kumar" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aquilia
Your task is to develop a fully-functional mini-application using the 'aquilia' package, which is an async-native Python web framework known for its flow-first routing approach. This mini-app will serve as a simple blog platform where users can create, read, update, and delete posts. Here are the steps and features you need to implement: 1. **Setup Environment**: Begin by setting up your Python environment and installing the 'aquilia' package. Ensure you have the necessary dependencies installed. 2. **Define Routes**: Use Aquilia's flow-first routing to define routes for different actions such as viewing all posts, viewing a single post, creating a new post, updating a post, and deleting a post. 3. **Database Integration**: Integrate a lightweight database like SQLite to store blog posts. Each post should contain at least a title, content, and timestamp. 4. **User Interface**: Create a simple but effective user interface for interacting with the blog. This could be done using basic HTML/CSS for static pages or a more dynamic frontend if desired. 5. **CRUD Operations**: Implement Create, Read, Update, and Delete operations for blog posts. Ensure these operations are asynchronous to take advantage of Aquilia's capabilities. 6. **Error Handling**: Implement proper error handling for scenarios such as trying to delete a non-existent post or updating a post with missing fields. 7. **Security Considerations**: Although not required, consider adding basic security measures such as input validation to prevent SQL injection or other common web vulnerabilities. 8. **Testing**: Write tests for your application to ensure each feature works as expected. Focus on both unit testing for individual components and integration testing for the full stack. 9. **Deployment**: Finally, deploy your application to a server or cloud platform so it can be accessed online. This project aims to showcase your ability to work with asynchronous frameworks and demonstrate practical knowledge of web development best practices.
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