AI Analysis
The package exhibits high risks due to its ability to execute shell commands based on user input, which can lead to arbitrary code execution. Additionally, it has a moderate risk of downloading external resources, though the metadata and obfuscation risks are lower.
- High shell risk due to execution of user-provided commands
- Moderate network risk indicating potential for downloading external resources
Per-check LLM notes
- Network: The network call pattern suggests the package may download external resources, which could be legitimate but also indicates potential for downloading malicious content.
- Shell: Executing shell commands based on user input is highly risky and can lead to arbitrary code execution, indicating a significant security concern.
- Obfuscation: No obfuscation patterns detected, indicating low risk of code being intentionally obscured.
- Credentials: No credential harvesting patterns detected, suggesting no risk of secret or sensitive information being stolen.
- Metadata: The maintainer's author name is missing and the account seems new or inactive, raising some concerns but not definitive signs of malice.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://github.com/aeroxy/ast-bro#readmeDetailed PyPI description (3777 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 100 commits in aeroxy/ast-broSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 1 network call pattern(s)
r / f"archive{ext}" with httpx.Client(follow_redirects=True) as client: resp = client.get(
No obfuscation patterns detected
Found 1 shell execution pattern(s)
s = sys.argv[1:] result = subprocess.run([str(binary)] + args, cwd=os.getcwd()) sys.exit(result.r
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository aeroxy/ast-bro appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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' using the 'ast-bro' package. This tool should serve as a comprehensive solution for navigating and analyzing Python codebases. The application will include several key functionalities: 1. **Code Shape Analysis**: Utilize 'ast-bro' to analyze the structure of Python files and directories, identifying common patterns and structures within the code. 2. **Public API Documentation**: Automatically generate documentation for public APIs found in the analyzed codebase, highlighting functions, classes, and modules. 3. **Dependency Graphs**: Construct dependency graphs to visualize which modules depend on each other, aiding in understanding the codebase's architecture. 4. **Call Graph Generation**: Generate call graphs to trace function calls throughout the codebase, helping identify potential issues like circular dependencies or complex call chains. 5. **Semantic Search**: Implement a feature that allows users to search for code based on semantic content rather than just keywords, utilizing 'ast-bro's hybrid semantic search capabilities. 6. **Structural Rewriting**: Provide functionality to automatically refactor parts of the codebase based on structural patterns identified by 'ast-bro', simplifying maintenance and improving readability. 7. **Log Squeezing**: Integrate 'ast-bro' to process logs generated during code execution, filtering out noise and focusing on meaningful information. 8. **MCP Server Integration**: Include an MCP server provided by 'ast-bro' to enable real-time collaboration and sharing of code insights among multiple developers. Your task is to design and implement these features in a modular fashion, ensuring the tool is user-friendly and efficient. Consider building a simple GUI or command-line interface for interacting with 'CodeNavi'. Additionally, document your implementation process, including challenges faced and solutions adopted, to assist future contributors.
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