AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risks in terms of network usage, shell execution, and code obfuscation. However, its metadata suggests a lack of effort and transparency, raising suspicion about its authenticity and intent.
- Low metadata quality
- Potential lack of transparency
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell executions detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low effort and potential lack of transparency, raising concerns but not conclusive evidence of malice.
Package Quality Overall: Low (2.8/10)
✦ High
Test Suite
9.0
Test suite present — 3 test file(s) found
Test runner config found: conftest.py3 test file(s) detected (e.g. conftest.py)
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: 126.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with autobeni
Create a Python-based mini-app called 'BeniBot' that leverages the 'autobeni' package to manage and execute various commands related to Beni. This app will serve as a command-line interface tool where users can input commands, and the BeniBot will process them using the functionalities provided by the 'autobeni' package. Here are the steps and features you need to include: 1. **Setup**: Start by installing the 'autobeni' package via pip. Ensure all necessary dependencies are installed and the environment is set up correctly. 2. **Command Parsing**: Develop a robust command parser that can interpret user inputs and map them to specific functions within the 'autobeni' package. The parser should handle basic commands like 'help', 'list', 'execute', and 'exit'. 3. **Help Command**: Implement a 'help' command that provides a list of available commands and brief descriptions on how to use each one. 4. **List Command**: Create a 'list' command that displays all the available commands that can be executed through 'autobeni'. This includes both predefined and dynamically loaded commands. 5. **Execute Command**: Allow users to execute specific commands from the 'autobeni' package by providing a unique identifier or name for each command. Ensure that the execution is handled securely and efficiently. 6. **Exit Command**: Include an 'exit' command that gracefully shuts down the BeniBot application. 7. **Customization**: Offer users the ability to customize their experience by adding custom commands or modifying existing ones. This customization feature should leverage the flexibility of the 'autobeni' package. 8. **Logging and Error Handling**: Integrate logging to record all interactions and outputs from the BeniBot. Implement error handling to provide meaningful feedback to users when something goes wrong. 9. **User Interface**: Design a clean and intuitive command-line interface that guides users through the process of interacting with BeniBot. By following these steps and incorporating these features, you'll create a versatile and user-friendly tool that showcases the capabilities of the 'autobeni' package.
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