AI Analysis
The package shows no immediate signs of malicious activity, but the incomplete metadata and potentially inactive author raise concerns about its origin and maintenance.
- Incomplete author metadata
- Potentially inactive author
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on serialization.
- Shell: No shell execution patterns detected, aligning with the expected behavior of a serialization-focused package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author's information is incomplete and they may be new or inactive, which raises some suspicion but does not strongly indicate malice.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_ast_serialize.py)
Some documentation present
Brief PyPI description (335 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: TypedType checker (mypy / pyright / pytype) referenced in project
Active multi-contributor project
7 unique contributor(s) across 100 commits in mypyc/ast_serializeActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: iki.fi>
All external links appear legitimate
Repository mypyc/ast_serialize 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 'CodeInspector' that leverages the 'ast-serialize' package to serialize and deserialize Python Abstract Syntax Trees (ASTs). This tool will enable developers to inspect and manipulate Python code at a structural level. Here are the steps and features to implement: 1. **Setup**: Install necessary packages including 'ast-serialize'. 2. **Serialization Functionality**: Implement functions to serialize Python code snippets into their AST representation using 'ast-serialize'. This allows the user to see the underlying structure of the provided code. 3. **Deserialization Functionality**: Add functionality to take serialized AST data and convert it back into Python code. This feature will help users understand how changes in the AST affect the final output. 4. **Code Transformation**: Allow users to modify the serialized AST (e.g., adding comments, changing variable names, etc.) and then deserializing it back to code to see the effect of these transformations. 5. **Visualization**: Integrate a simple visualization component that displays the AST as a tree structure, making it easier for users to comprehend the code structure visually. 6. **Command-Line Interface (CLI)**: Develop a CLI where users can input Python code, view its AST, make modifications, and get the updated code output. 7. **Documentation**: Provide comprehensive documentation on how to use 'CodeInspector', including examples and best practices for working with ASTs. The goal is to create a versatile tool that not only serves as an educational resource but also assists in code optimization and debugging processes.
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