AI Analysis
The package appears safe with no detected malicious activities. However, the maintainer's new or inactive account and lack of community engagement slightly increase the metadata risk.
- Low risk in network, shell, obfuscation, and credential aspects.
- Moderate metadata risk due to maintainer's account status and repository activity.
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on converting articles to Markdown without external dependencies.
- Shell: No shell execution patterns detected, aligning with expectations for a utility package that does not require system-level permissions.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account and the repository lacks community engagement.
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 (2612 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
3 type-annotated function signatures (partial)
Single-author or unverifiable project
1 unique contributor(s) across 5 commits in nateify/article-to-mdSingle author with few commits — possibly a personal or throwaway project
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: users.noreply.github.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "nateify" 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 fully-functional mini-app that allows users to convert articles or web pages into Markdown format using the Python package 'article-to-md'. This app should have a simple and intuitive user interface where users can input a URL or paste the content of an article. The app will then use the 'article-to-md' package to convert the content into Markdown format and display it back to the user. Additionally, the app should offer options for customizing the output, such as including or excluding images, footnotes, and other elements from the original article. Users should also be able to download the converted Markdown file directly from the app. The final product should be deployable as a web app or a desktop application.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue