AI Analysis
The package shows signs of obfuscation, which could indicate hidden or malicious functionality. However, with no direct evidence of harmful intent and minimal risks in other categories, the overall risk is moderate.
- Significant obfuscation risk
- Single package maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or system manipulation.
- Obfuscation: The code shows signs of obfuscation through unusual formatting and usage of the __import__ function which may be used to hide functionality.
- Credentials: No clear evidence of credential harvesting patterns detected.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (6.6/10)
Test suite present — 31 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml31 test file(s) detected (e.g. conftest.py)
Some documentation present
Documentation URL: "Documentation" -> https://ast-outline.github.io/Detailed PyPI description (13203 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project897 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 100 commits in ast-outline/ast-outlineTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
Found 2 obfuscation pattern(s)
_path: Path) -> None: """`__import__("foo")` is a builtin function call — emits a `call` node, notf f():\n' ' return __import__("foo")\n' )) r = PythonAdapter().parse(p) assert r.con
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository ast-outline/ast-outline appears legitimate
1 maintainer concern(s) found
Author "ast-outline 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 Python-based code analysis tool named 'CodeNavi' that leverages the 'ast-outline' package to navigate and analyze Python codebases efficiently. The tool should be able to provide users with a detailed map of their repository, file outlines, specific symbol details, and perform structural searches within the code. Steps to create the application: 1. Set up a new Python environment and install the 'ast-outline' package. 2. Design a command-line interface (CLI) where users can input commands such as 'repo-map', 'file-outline', 'symbol-info', and 'structural-search'. 3. Implement the 'repo-map' command to generate a hierarchical overview of the entire codebase, showing all files and directories. 4. Develop the 'file-outline' command to display a structured outline of a given Python file, including class, function, and variable definitions. 5. Add functionality for the 'symbol-info' command to retrieve comprehensive information about a specified symbol (class, function, variable) from the codebase. 6. Integrate the 'structural-search' command to allow users to search for specific patterns or structures within the code, such as finding all functions that call a particular method. 7. Ensure that each command is optimized using 'ast-outline' to only parse necessary parts of the code rather than the entire codebase, enhancing performance. 8. Include error handling and user-friendly messages for invalid inputs or operations. 9. Write tests to validate the correctness and reliability of each feature. 10. Document the tool comprehensively, detailing installation, usage, and examples for each command. Suggested Features: - Support for multiple file types and languages in the future. - Integration with version control systems like Git to track changes in the codebase. - A graphical user interface (GUI) for non-command line users. - Exporting results to various formats like HTML, JSON, or Markdown. - Customizable templates for different types of reports and summaries.
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