AI Analysis
Final verdict: SAFE
The package appears to be a legitimate SDK for communicating with an external service, with no signs of malicious intent or obfuscation.
- Low risk in all categories checked.
- Maintainer has only one package, but no other suspicious activities are flagged.
Per-check LLM notes
- Network: The network call pattern suggests the package is likely making HTTP requests to communicate with an external service, which is common for SDKs.
- Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account but no other suspicious activities are flagged.
Package Quality Overall: Medium (6.4/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
1 test file(s) detected (e.g. test_documents.py)
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Jemo69/Appflowy-SDK/tree/main/docsDetailed PyPI description (5608 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: Typed38 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 16 commits in Jemo69/Appflowy-SDKSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
) self._http_client = httpx.Client(timeout=30.0) # ---------------------------------------
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Jemo69/Appflowy-SDK appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AppFlowy SDK Contributors" 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 appflowysdk
Create a personal task management mini-app using the 'appflowysdk' Python package. This app will allow users to manage their tasks effectively by adding, editing, deleting, and categorizing them. The app will also support setting due dates and reminders for tasks. Here’s a detailed breakdown of the steps and features to implement: 1. **Setup**: Start by installing the 'appflowysdk' package and setting up your AppFlowy Cloud account to get the necessary API keys. 2. **Task Management Features**: - **Add Task**: Users can add new tasks with titles, descriptions, and categories. - **Edit Task**: Allow users to edit existing tasks, including updating their titles, descriptions, categories, and due dates. - **Delete Task**: Provide functionality to delete tasks. 3. **Categorization**: Implement a feature where users can categorize their tasks into different groups (e.g., Work, Personal, Study). 4. **Due Dates and Reminders**: Enable users to set due dates for their tasks and receive reminders before the deadlines. 5. **User Interface**: Develop a simple yet intuitive command-line interface (CLI) for interacting with the app. Consider using color-coding for different task statuses and categories. 6. **Integration**: Ensure smooth integration with 'appflowysdk' throughout the development process, utilizing its type-safe API to handle CRUD operations efficiently. 7. **Testing**: Write tests to ensure all functionalities work as expected, focusing on edge cases such as empty inputs, invalid dates, and API connectivity issues. 8. **Documentation**: Prepare comprehensive documentation detailing how to install the app, use its features, and troubleshoot common issues. By following these steps and incorporating the above features, you'll create a robust, user-friendly task management mini-app that leverages the power of 'appflowysdk'.