aja-prompt-mcp

v0.2.2 suspicious
4.0
Medium Risk

MCP that generates 2 implementation prompt options from business English + codebase context

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no network activity or credential harvesting, but its metadata quality is poor, raising concerns about its origin and purpose.

  • Low effort in metadata management
  • Lack of maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Subprocess calls to create virtual environments and install packages are common but should be reviewed for legitimacy and potential misuse.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low effort in metadata management and lacks maintainer history, which could indicate potential risk.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 13 type-annotated function signatures detected in source
○ 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 score 6.0

Found 3 shell execution pattern(s)

  • ython_path.exists(): subprocess.run( [sys.executable, "-m", "venv", str(VENV_DIR)],
  • DIR / "bin" / "pip") subprocess.run( [pip_path, "install", "--no-cache-dir", "aja-c
  • NUTF8"] = "1" result = subprocess.run( [aja_bin, "entire", "."], cwd=project_roo
✓ 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 aja-prompt-mcp 
Create a web-based code generation assistant called 'CodeCraft' using the Python package 'aja-prompt-mcp'. CodeCraft aims to streamline the process of generating Python code snippets by leveraging natural language descriptions and existing codebases. Here’s a detailed plan for building this application:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with Flask (for the backend) and Bootstrap (for the frontend). Install the 'aja-prompt-mcp' package via pip.

2. **Application Structure**: Design a simple but intuitive user interface where users can input their requirements in plain English or upload relevant code snippets. This will serve as the context for the code generation process.

3. **Integration of 'aja-prompt-mcp'**: Utilize 'aja-prompt-mcp' to generate two potential implementations based on the user inputs. This package will analyze the provided context and generate two distinct but viable solutions.

4. **User Interface Enhancements**: Implement features such as a preview section that displays both generated code snippets side by side. Allow users to compare and contrast these options easily.

5. **Feedback Mechanism**: Integrate a feedback system where users can provide ratings and comments on the generated code snippets. This feedback will be used to improve future generations by refining the models behind 'aja-prompt-mcp'.

6. **Documentation and Support**: Develop comprehensive documentation detailing how to use CodeCraft effectively. Include FAQs, tutorials, and support channels.

7. **Testing and Deployment**: Rigorously test CodeCraft for functionality, usability, and performance. Once satisfied, deploy the application to a cloud platform like Heroku or AWS.

8. **Continuous Improvement**: Use the feedback loop to continuously enhance the quality and relevance of the generated code snippets. Regularly update the application based on user needs and technological advancements.

This project not only leverages the unique capabilities of 'aja-prompt-mcp' but also addresses a common challenge faced by developers: translating abstract ideas into concrete, executable code.

💬 Discussion Feed

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