AI Analysis
The package exhibits a moderate risk level primarily due to potential network and shell execution vulnerabilities, but lacks indicators of malicious activity.
- moderate network risk
- high shell execution risk
- low obfuscation and credential risk
Per-check LLM notes
- Network: Network calls are common for fetching external resources or updates, but should be reviewed for legitimacy and security.
- Shell: Executing shell commands can pose significant risks if not properly sanitized or intended to perform unauthorized actions.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
- Metadata: The package appears to be new and maintained by a potentially new or inactive account, but there are no overt red flags like typosquatting or suspicious links.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. test_command.py)
Some documentation present
Detailed PyPI description (1753 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
5 type-annotated function signatures (partial)
Active multi-contributor project
23 unique contributor(s) across 100 commits in lab-cosmo/atomistic-cookbookActive community β 5 or more distinct contributors
Heuristic Checks
Found 1 network call pattern(s)
(max_retries=retry) with requests.Session() as session: session.mount("http://", adapter)
No obfuscation patterns detected
Found 2 shell execution pattern(s)
rint_output: result = subprocess.run( args, cwd=cwd, stdout=sreturn result return subprocess.run( args, cwd=cwd, check=check,
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository lab-cosmo/atomistic-cookbook appears legitimate
2 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor "The Atomistic Cookbook contributors" 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 mini-application called 'MolecularRecipeExplorer' that allows users to explore and interact with molecular recipes from the Atomistic Cookbook. This application will utilize the 'atomistic-cookbook-utils' Python package to fetch and manipulate molecular data seamlessly. Hereβs a detailed breakdown of what the application should do: 1. **User Interface**: Develop a simple yet intuitive graphical user interface (GUI) using a Python library like PyQt or Tkinter. The GUI should have a main window with options to browse through different categories of recipes and display details about each recipe. 2. **Recipe Categories**: The application should categorize recipes based on their molecular structures (e.g., organic, inorganic, biomolecules). Users should be able to filter recipes by category. 3. **Recipe Details**: Each recipe should include detailed information such as ingredients, preparation steps, and visual representations of the molecular structure. Use the 'atomistic-cookbook-utils' package to fetch these details dynamically. 4. **Interactive Molecular Viewer**: Integrate a basic interactive molecular viewer within the application to allow users to rotate and zoom into the molecular structures. The 'atomistic-cookbook-utils' package provides utilities to handle and visualize molecular data efficiently. 5. **Search Functionality**: Implement a search bar where users can input keywords to find specific recipes. Utilize the 'atomistic-cookbook-utils' package to enhance search capabilities by leveraging its utilities for parsing and indexing molecular data. 6. **Save and Share**: Allow users to save their favorite recipes and share them via email or social media platforms. 7. **Documentation and Help**: Provide comprehensive documentation and a help section within the application to guide new users. The 'atomistic-cookbook-utils' package will be crucial in fetching, processing, and displaying molecular data effectively. Ensure that your application demonstrates the full potential of this package by showcasing its core functionalities throughout the user journey.
π¬ Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue