AI Analysis
The package shows minimal risk indicators with no network calls, no obfuscation, and no evidence of credential harvesting. The subprocess execution should be reviewed but appears legitimate for CLI operations.
- Shell risk due to subprocess execution
- Low metadata risk for a single-package maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: Subprocess execution may be legitimate for CLI operations, but should be reviewed to ensure it does not execute unauthorized commands.
- 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 might indicate a new or less active account.
Package Quality Overall: Medium (6.4/10)
Test suite present — 34 test file(s) found
Test runner config found: pyproject.toml34 test file(s) detected (e.g. test_attribute_class_type.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/gustavo-gkmi/anxwritter/blob/main/docs/geDetailed PyPI description (6238 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: TypedType checker (mypy / pyright / pytype) referenced in project250 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 24 commits in gustavo-gkmi/anxwritterSingle author but highly active (24 commits)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 4 shell execution pattern(s)
i"] + list(args) result = subprocess.run( cmd, input=stdin_data, capture_outpode("utf-8") result = subprocess.run( [sys.executable, "-m", "anxwritter.cli", "--val+ list(args) result = subprocess.run( cmd, input=stdin_data,tter.cli", *args] r = subprocess.run(cmd, capture_output=True, text=True, cwd=REPO_ROOT)
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository gustavo-gkmi/anxwritter appears legitimate
1 maintainer concern(s) found
Author "gustavo-gkmi" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Python-based mini-application that leverages the 'anxwritter' package to create, manipulate, and export i2 Analyst's Notebook Exchange (.anx) files. This tool will be particularly useful for analysts who need to work with structured data and network diagrams within the i2 Analyst's Notebook software environment. The application should include the following features: 1. **Data Input:** Allow users to input data either through a simple command-line interface or via JSON/YAML formatted files. Users should be able to define nodes (entities) and relationships between these nodes. 2. **Graph Visualization:** Implement a basic graph visualization feature where the application can display a simplified version of the .anx file content as a graph using a Python library like NetworkX or Matplotlib. 3. **Export Functionality:** The application should be capable of exporting the defined structure into a valid .anx file format, which can then be opened and further manipulated within i2 Analyst's Notebook. 4. **Error Handling & Validation:** Ensure robust error handling and validation mechanisms are in place to prevent malformed .anx files from being generated due to user input errors. 5. **Customization Options:** Provide options for customization such as setting node attributes, relationship types, and visual styles that align with i2 Analyst's Notebook capabilities. The 'anxwritter' package will be used extensively throughout the project to handle the creation and writing of .anx files based on the provided inputs. Your task is to design and implement this application, ensuring it is user-friendly, efficient, and adheres to best coding practices.
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