AI Analysis
The package has minimal risks associated with network calls, shell execution, and obfuscation. However, the missing maintainer's author name and potential inactivity suggest that further scrutiny is warranted.
- Missing maintainer's author name
- Potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a threat for stealing secrets or credentials.
- Metadata: The maintainer's author name is missing and they appear to be new or inactive, which raises some suspicion but not enough to conclusively label it as malicious.
Package Quality Overall: Low (4.8/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_parser.py)
Some documentation present
Detailed PyPI description (1623 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
24 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 16 commits in KosinskiLab/alphapulldown-input-parserTwo distinct contributors found
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: embl-hamburg.de>
All external links appear legitimate
Repository KosinskiLab/alphapulldown-input-parser 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 command-line tool called 'AlphaSpecParser' using Python and the 'alphapulldown-input-parser' package. This tool will serve as a powerful interface for users to parse and validate input specifications for the AlphaPulldown system, which is commonly used in financial trading platforms for high-frequency trading operations. The main functionalities of the 'AlphaSpecParser' tool should include: - Parsing input files containing specifications for AlphaPulldown, such as asset mappings, trading strategies, and execution parameters. - Validating the parsed specifications against predefined rules and standards to ensure they meet the operational requirements of AlphaPulldown. - Providing feedback to the user about any errors found in the specifications and suggestions on how to correct them. - Offering a feature to generate sample specifications based on common use cases, helping new users get started quickly. To implement these functionalities, you'll need to utilize the 'alphapulldown-input-parser' package effectively. Specifically, the package's core features will be leveraged to handle the parsing logic, ensuring that the specifications are correctly interpreted according to the AlphaPulldown syntax and semantics. In addition to the primary functions, consider adding the following features to enhance usability: - Support for multiple file formats (e.g., JSON, YAML, CSV). - An option to output validation results in a human-readable format as well as in machine-readable formats like JSON or XML. - Integration with a logging mechanism to keep track of parsing activities and error logs. - A help command that provides a brief overview of the tool's usage and available options. Your goal is to create a robust and user-friendly tool that simplifies the process of working with AlphaPulldown specifications, making it easier for both experienced traders and newcomers to manage their trading operations efficiently.
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