AI Analysis
The package exhibits very low risk in terms of network and shell interactions, with no signs of obfuscation or credential harvesting. The metadata risk is slightly elevated due to incomplete author details and low maintenance effort.
- Low risk for network and shell interactions
- No evidence of obfuscation or credential handling
- Metadata shows some signs of low maintenance
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk, but author details are incomplete and the package shows signs of low maintenance effort.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1365 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
5 unique contributor(s) across 100 commits in justin-yan/pybinActive community β 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
No author email provided
All external links appear legitimate
Repository justin-yan/pybin appears legitimate
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a command-line tool named 'HistoryNinja' using Python and the 'atuin-bin' package. This tool will serve as a personal history manager for shell commands, enhancing productivity and tracking of work done through the command line. Hereβs how you can structure the project: 1. **Setup**: Begin by installing 'atuin-bin' via pip. This package acts as a bridge between your system and the powerful command history management tool, Atuin. 2. **Core Functionality**: Implement basic functionalities such as logging in, logging out, and syncing command history across different machines. Use 'atuin-bin' to interact with the Atuin server. 3. **Advanced Features**: Add features like searching through command history, tagging commands for better organization, and exporting command logs to a file or a cloud service for backup purposes. 4. **User Interface**: Design a simple yet effective CLI interface. Commands should be intuitive and easy to remember. 5. **Security Considerations**: Ensure that user data is securely handled and transmitted. Utilize encryption for sensitive information when interacting with the Atuin server. 6. **Documentation**: Write comprehensive documentation for users to understand how to install, configure, and use HistoryNinja effectively. 7. **Testing**: Develop a suite of tests to ensure that all implemented features work as expected under various conditions. 8. **Deployment**: Prepare the tool for deployment on popular platforms like PyPI, making it easily accessible to a wide audience. In this project, 'atuin-bin' plays a crucial role by enabling seamless interaction with the Atuin service, allowing users to manage their command histories more efficiently than ever before.
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