AI Analysis
The package ape-linux v0.4.3 shows minimal risks in terms of network, shell execution, and obfuscation, but the metadata risk is elevated due to the limited activity and lack of a proper author name.
- Metadata risk 3/10 due to limited maintainer activity and no proper author name
- No other significant risks detected
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 system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The maintainer has limited activity and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_app.py)
Some documentation present
Detailed PyPI description (3017 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
Limited contributor diversity
1 unique contributor(s) across 73 commits in sbalian/apeSingle author but highly active (73 commits)
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: gmail.com>
All external links appear legitimate
Repository sbalian/ape 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 utility called 'ApeShell' that leverages the 'ape-linux' package to enhance user interaction with Linux commands. ApeShell should allow users to input complex Linux commands, which it will then execute and return the output. Additionally, ApeShell should provide intelligent suggestions and explanations for commands based on the user's input, aiming to educate users about various Linux functionalities and improve their command-line proficiency. Key Features: 1. Command Execution: Users should be able to type any valid Linux command, and ApeShell will execute it and display the output. 2. Intelligent Suggestions: Based on partial command inputs, ApeShell should suggest possible completions and provide brief explanations of what each command does. 3. Error Handling: If a command is invalid or fails to execute, ApeShell should gracefully handle errors, providing meaningful feedback to the user. 4. History Feature: Keep a history of executed commands and allow users to navigate through them using arrow keys. 5. Interactive Help: Offer an interactive help system where users can ask for more information about specific commands or concepts related to Linux. To utilize the 'ape-linux' package, you'll need to integrate its command parsing and execution capabilities into your application. Use 'ape-linux' to interpret user inputs, validate commands, and execute them safely. Additionally, leverage its AI-driven features to generate intelligent suggestions and explanations for commands. Ensure that the integration is seamless and enhances the user experience without compromising security or performance.
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