archiet-microcodegen

v0.2.1 suspicious
4.0
Medium Risk

Archiet's core algorithm in one file: PRD text -> FastAPI app ZIP, pure stdlib, zero dependencies.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, the lack of detailed metadata about the repository and author increases suspicion.

  • Missing repository and sparse author details
  • Moderate metadata risk
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
  • Metadata: The missing repository and the author's sparse details raise concerns about the legitimacy and intent of the package.

📦 Package Quality Overall: Low (3.2/10)

○ 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 (4532 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 22 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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

Email domain looks legitimate: archiet.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with archiet-microcodegen 
Create a mini-application called 'TextToAPI' which leverages the 'archiet-microcodegen' package to generate a FastAPI application from a given product description (PRD) text. The application should allow users to input a PRD text and receive a downloadable ZIP file containing a complete FastAPI application ready to deploy.

Step 1: Define the structure of your 'TextToAPI' application.
- Include a user-friendly interface for entering the PRD text.
- Implement functionality to process the entered text using 'archiet-microcodegen'.
- Ensure the output is a ZIP file that contains all necessary files for a FastAPI application.

Step 2: Develop the main logic.
- Utilize 'archiet-microcodegen' to convert the PRD text into a functional FastAPI application.
- Verify the integrity and functionality of the generated application.

Step 3: Enhance the user experience.
- Provide real-time feedback on the conversion process.
- Allow users to download the generated ZIP file directly from the interface.
- Offer examples or templates for common PRD texts to assist users in crafting their descriptions.

Step 4: Test and refine the application.
- Conduct thorough testing to ensure the application works as expected across various PRD inputs.
- Gather feedback from potential users and make necessary adjustments.

Suggested Features:
- Support for multiple programming languages within the generated API (if 'archiet-microcodegen' allows for it).
- Integration with cloud services for automatic deployment of the generated API.
- User authentication to track and manage multiple PRD-to-API conversions.
- A tutorial or documentation section explaining how to use the generated FastAPI applications.

The goal is to create a tool that simplifies the development process for FastAPI applications by automating the creation from textual descriptions.

💬 Discussion Feed

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