AI Analysis
The package presents a moderate risk due to unusual metadata indicators such as a new maintainer with limited details, a low-starred and low-forked repository, and concentrated commit activity.
- New maintainer with sparse details
- Low-starred and low-forked repository
- Concentrated commit activity
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including a new maintainer with a short or missing author name, an extremely low-starred and low-forked repository, and all commits happening within a very short timeframe.
Package Quality Overall: Low (3.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (7096 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
43 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 5 commits in NewtYao/askmycodeSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Found 1 network call pattern(s)
tent": user_turn}) resp = requests.post( f"{base_url}/api/chat", json={"model": mode
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksAll 5 commits happened within 24 hours
2 maintainer concern(s) found
Author 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 Python-based desktop application called 'CodeSage' that leverages the 'askmycode' package to provide users with the ability to query any local codebase they have on their machine without exposing it online. CodeSage should offer a user-friendly interface where developers can paste or upload their code snippets and receive insightful answers about their code directly from the application. Here are the key steps and features to implement: 1. **Setup**: Ensure that the 'askmycode' package is installed and properly integrated into the project. 2. **User Interface**: Design a simple yet intuitive GUI using Tkinter or another suitable library that allows users to input their code snippets or upload files containing code. 3. **Query Engine**: Implement a feature within CodeSage that sends the user’s code to 'askmycode', which then processes the request locally and returns answers to any questions posed by the user about the code. 4. **Question Handling**: Allow users to ask specific questions about their code such as 'What does this function do?', 'Why is this line of code necessary?', etc. 5. **Response Display**: Present the responses in a clear, easy-to-understand manner within the GUI. 6. **History Feature**: Keep track of previous queries and their corresponding answers for future reference. 7. **Error Handling**: Include robust error handling to manage scenarios where 'askmycode' cannot understand the code or the question asked. 8. **Customization Options**: Provide settings where users can customize the behavior of CodeSage, like adjusting the level of detail in responses. By following these steps, you will create a powerful tool that enhances the development experience by providing immediate insights into complex codebases.
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