AI Analysis
The Amp SDK has a moderate risk score due to incomplete author information and potential shell execution patterns that require further investigation.
- Incomplete author information and potentially new/inactive maintainer.
- Detected shell execution pattern that needs clarification.
Per-check LLM notes
- Network: No network calls detected, which is normal and does not indicate risk.
- Shell: The detected shell execution pattern suggests the package might be using Node.js to resolve module paths, which could be part of its functionality but requires further investigation to confirm benign use.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and the maintainer seems to be new or inactive, raising some suspicion but not definitive proof of malice.
Package Quality Overall: Low (4.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://ampcode.com/manual/sdkDetailed PyPI description (37614 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
27 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
ll) try: result = subprocess.run( ["node", "-p", "require.resolve('@sourcegraph/a
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ampcode.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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 fully-functional mini-app called 'CodeMentor' using the 'amp-sdk' Python package, which acts as an agentic coding assistant. This app will serve as a personal coding mentor, helping users write better code and learn new programming concepts. Hereβs a detailed breakdown of what the application should do and how it will utilize the 'amp-sdk' package: 1. **Setup**: Install the necessary packages including 'amp-sdk'. Ensure your development environment is set up properly. 2. **User Input**: Allow users to input their code snippets. Users can select from various programming languages supported by 'amp-sdk'. 3. **Code Analysis**: Use 'amp-sdk' to analyze the userβs code snippet. The analysis should include identifying potential bugs, suggesting improvements, and providing explanations for recommended changes. 4. **Interactive Learning**: Implement an interactive learning feature where users can ask questions about specific lines of code or overall code structure. 'amp-sdk' should generate responses that provide insights and explanations. 5. **Code Suggestions**: Based on the analysis, suggest alternative implementations or best practices. Users should be able to compare different approaches and understand the pros and cons of each. 6. **Feedback Loop**: Create a feedback mechanism where users can rate the suggestions provided by 'amp-sdk'. This data will help improve future recommendations. 7. **Documentation Generation**: Integrate a feature that automatically generates documentation for the analyzed code based on user-defined templates or predefined styles. 8. **Integration with IDEs**: Consider integrating 'CodeMentor' as a plugin or extension for popular Integrated Development Environments (IDEs) like VS Code or PyCharm, enhancing the coding experience directly within these tools. 9. **Security Checks**: Include basic security checks using 'amp-sdk', advising users on common security pitfalls and how to avoid them. 10. **User Interface**: Design a simple yet effective user interface that makes interacting with 'CodeMentor' intuitive and engaging. The UI should clearly display code snippets, analysis results, suggestions, and allow for easy navigation. By following these steps, you'll create a powerful tool that not only helps users improve their coding skills but also enhances their understanding of programming principles through practical, real-time interaction with 'amp-sdk'.
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