amazon-nova-act-mcp

v1.0.101.0 suspicious
5.0
Medium Risk

Stateful MCP server for Nova Act prompt iteration workflows

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks but exhibits signs of low maintenance and author engagement, which could indicate potential issues such as outdated dependencies or abandoned projects.

  • Low maintenance and author engagement
  • No direct risks detected in code analysis
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 detected, indicating no immediate risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low maintenance and author engagement, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10056 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with amazon-nova-act-mcp 
Develop a Python-based mini-application that leverages the 'amazon-nova-act-mcp' package to manage and iterate over a series of prompts for generating creative writing ideas. This application will serve as a tool for writers looking to explore different narrative angles and character developments through iterative feedback loops. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Ensure you have Python installed along with the necessary libraries such as 'amazon-nova-act-mcp'. Install 'amazon-nova-act-mcp' using pip.
2. **Project Structure**: Create a project structure with directories for configuration files, logs, and scripts. Organize your code into modules for better maintainability.
3. **Prompt Generation Module**: Develop a module that generates initial prompts based on user input or predefined templates. Use 'amazon-nova-act-mcp' to store these prompts in a stateful manner, allowing for retrieval and modification.
4. **Feedback Loop Mechanism**: Implement a mechanism where users can provide feedback on the generated prompts. Utilize 'amazon-nova-act-mcp' to track iterations and incorporate user feedback into the next round of prompt generation.
5. **Visualization Dashboard**: Create a simple dashboard (using a library like Streamlit or Flask) that visualizes the progress of prompt iterations, showing how each feedback cycle has influenced the final output.
6. **Export Functionality**: Add functionality to export the best prompts into a desired format (e.g., Markdown, PDF) for further use by writers.
7. **Testing and Documentation**: Thoroughly test your application to ensure smooth operation and write comprehensive documentation explaining how to install, configure, and use the application.

Suggested Features:
- User authentication to secure individual workspaces.
- Integration with cloud storage services for backup and accessibility.
- Advanced analytics on user engagement and effectiveness of generated prompts.
- Support for multiple languages and cultural contexts in prompt generation.

💬 Discussion Feed

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