AI Analysis
The package asksh v1.0.0 appears to have minimal risks associated with it based on the analysis notes. It makes network calls but these seem to be legitimate for API interactions and version checks.
- Network calls for API interactions and version checks pose a moderate risk, but are likely benign.
- No evidence of obfuscation, shell execution, or credential harvesting was found.
Per-check LLM notes
- Network: The package makes network calls which seem to be for API interactions and version checks, potentially normal for a service-oriented application.
- Shell: No shell execution patterns were detected in the provided code snippet.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (4.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (5471 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
15 type-annotated function signatures detected in source
Active multi-contributor project
4 unique contributor(s) across 40 commits in srgsol/askshSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 4 network call pattern(s)
tream": False} resp = requests.post(f"{self._base_url}/api/chat", json=payload, timeout=120)"stream": True} with requests.post( f"{self._base_url}/api/chat", json=i/version" response = requests.get(version_url, timeout=4.0) response.raise_for_status(" tags_response = requests.get(tags_url, timeout=4.0) tags_response.raise_for_s
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 srgsol/asksh appears legitimate
1 maintainer concern(s) found
Author "Sergi Soler i Segura" 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 'ShellGuru' using the Python package 'asksh'. This utility aims to simplify system administration tasks for users who may not be familiar with Linux shell commands. Users should be able to interact with ShellGuru through natural language, and it will convert their instructions into corresponding shell commands and execute them. ### Key Features: 1. **User-friendly Interface**: Provide a simple and intuitive interface where users can input their tasks as if they were speaking to a human assistant. 2. **Command Execution**: Once the user's request is understood, ShellGuru should generate and execute the appropriate Linux shell command. 3. **Task Management**: Allow users to manage multiple tasks at once, such as listing files, checking disk usage, or managing processes. 4. **Error Handling**: Implement robust error handling to gracefully deal with invalid inputs or failed commands. 5. **Logging**: Keep a log of all commands executed and their outcomes for auditing and troubleshooting purposes. 6. **Interactive Mode**: Offer an interactive mode where users can continuously enter commands without needing to restart the program. 7. **Help Documentation**: Include a help feature that explains how to use ShellGuru effectively and provides examples of common tasks. ### Utilizing 'asksh': - Use 'asksh' to interpret user inputs from the command line. The package will handle the conversion of natural language to shell commands. - Integrate 'asksh' with your main application loop to process each user command, execute it, and provide feedback on its success or failure. - Ensure that you properly capture and display any errors returned by 'asksh' to maintain a smooth user experience. - Consider extending 'asksh' functionality by adding custom command mappings specific to your application's needs. ### Deliverables: - A fully functional Python script implementing ShellGuru. - Comprehensive documentation explaining how to run the application and use its features. - A README file detailing installation requirements and steps. - Sample use cases demonstrating the application's capabilities.
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