amp-sdk

v0.1.6 suspicious
5.0
Medium Risk

Python SDK for Amp, an agentic coding assistant

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

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.

πŸ“¦ Package Quality Overall: Low (4.6/10)

β—ˆ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
β—ˆ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://ampcode.com/manual/sdk
  • Detailed PyPI description (37614 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 27 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ll) try: result = subprocess.run( ["node", "-p", "require.resolve('@sourcegraph/a
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: ampcode.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with amp-sdk
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. Here’s 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 user’s 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'.

πŸ’¬ Discussion Feed

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