AI Analysis
The package has minimal risks associated with network calls, obfuscation, and credential harvesting. The moderate shell risk and low maintainer activity suggest caution but do not conclusively point to malicious intent.
- Moderate shell risk due to use of subprocess.run
- Low maintainer activity and poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is not suspicious in itself but should be considered with shell execution context.
- Shell: Use of subprocess.run and os.environ.copy can be legitimate but may indicate potential for executing arbitrary commands, warranting further investigation into the package's purpose and usage.
- 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 package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not definitive evidence of malice.
Package Quality Overall: Low (4.4/10)
Test suite present — 3 test file(s) found
Test runner config found: pyproject.toml3 test file(s) detected (e.g. test_ask_gemini.py)
Some documentation present
Detailed PyPI description (6062 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
21 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
os.environ.copy() return subprocess.run( [CLI, *args], capture_output=True,
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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 terminal-based personal assistant application named 'GeminiHelper' using the 'ask-gemini' Python package. This application will allow users to interact with Gemini through their command line interface without needing an API key. Your task is to design and implement a user-friendly interface where users can ask questions, receive answers, and perform various tasks such as setting reminders, checking weather updates, and more. Here are the steps and features you should include: 1. **Setup**: Ensure your environment is set up correctly with Python and the 'ask-gemini' package installed. 2. **User Interface**: Develop a clean, interactive CLI where users can type their queries and see responses. 3. **Basic Commands**: Implement basic commands like 'ask', 'help', and 'exit'. 4. **Advanced Features**: - Allow users to set reminders by specifying dates and times. - Integrate a weather module to fetch current conditions based on location input. - Enable users to search for information online and display results directly within the CLI. 5. **Error Handling**: Make sure to handle common errors gracefully, such as when a user inputs incorrect commands or requests unhandled data. 6. **Testing**: Write tests to ensure each feature works as expected under different scenarios. 7. **Documentation**: Provide clear documentation on how to install, run, and use 'GeminiHelper'. Include examples of how to utilize advanced features. Your goal is to create a versatile yet simple-to-use personal assistant that leverages the capabilities of Gemini through the 'ask-gemini' package.
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