AI Analysis
The package shows minimal signs of risk with no network calls, obfuscation, or credential harvesting. The use of git commands is benign and common for version control. However, the missing author information and lack of a GitHub repository warrant some concern but do not indicate malicious intent.
- No network calls
- Benign use of git commands
- Missing author information
- Lack of GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal and expected.
- Shell: Git commands used to manage version control, likely for internal operations or to check repository status, not indicative of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk but requires further investigation due to missing author information and lack of GitHub repository.
Package Quality Overall: Low (3.0/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. test_css.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
84 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
Found 3 shell execution pattern(s)
try: result = subprocess.run( [ "git", "log",o: Path) -> str: result = subprocess.run( ["git", "-C", str(repo), "symbolic-ref", "--short",.CompletedProcess: return subprocess.run( ["git", *args], capture_output=True, text=True, env
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: cern.ch>
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 personal documentation site generator using the 'atlasdocs-theme' package for MkDocs. Your task is to build a simple yet powerful application that allows users to generate professional-looking documentation sites with ease. This application should have the following core functionalities: 1. User Input: Allow users to input their documentation content through a user-friendly interface. This could include markdown files, images, and other multimedia elements. 2. Theme Customization: Provide options for users to customize the look and feel of their documentation site using the 'atlasdocs-theme'. Users should be able to change colors, fonts, and layout settings according to their preferences. 3. Automatic Generation: Once the content and theme settings are provided, the application should automatically generate the documentation site using MkDocs and the selected 'atlasdocs-theme'. 4. Preview Functionality: Include a preview function that allows users to see how their site will look before it is published. 5. Export Options: After generating the site, provide export options such as downloading the site as a zip file or deploying it directly to a web server. In your implementation, make sure to utilize the 'atlasdocs-theme' package effectively by integrating its customization options into your application. This includes handling theme configurations, applying theme styles to the generated documentation, and ensuring that the final output adheres to the aesthetic standards set by the 'atlasdocs-theme'. Additionally, consider adding advanced features like version control for documentation, integration with Git repositories, and support for multiple languages.
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