🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score with no detected obfuscation, shell execution, or credential harvesting. The network call to localhost is likely for internal health checks and does not indicate malicious activity.

Low network risk due to localhost calls
No obfuscation, shell execution, or credential harvesting detected

Per-check LLM notes

Network: The network call to localhost suggests internal health checks, which is not inherently suspicious but should be verified against the package's documentation or source code.
Shell: No shell execution patterns were detected, indicating low risk.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

1 test file(s) detected (e.g. test_server.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (3917 chars)

○ 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

18 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 47 commits in CSOAI-ORG/ascii-art-ai-mcp
Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

try: resp = urllib.request.urlopen("http://localhost:8000/health", timeout=2)

✓ 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: meok.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 ascii-art-ai-mcp

Create a fully-functional mini-application called 'ASCII Art Generator' using the Python package 'ascii-art-ai-mcp'. This application will allow users to input text and receive ASCII art representations of their text. Additionally, it should have options to format the output into a box or a table layout, enhancing the visual presentation of the ASCII art.

Step 1: Set up your development environment with Python installed and create a new virtual environment.

Step 2: Install the 'ascii-art-ai-mcp' package via pip.

Step 3: Design the user interface which includes:
- A text input field where users can enter any string they want to convert into ASCII art.
- Radio buttons or dropdowns to choose between different styles of ASCII art generation if supported by the package.
- Checkboxes or buttons to select whether the output should be formatted into a box or table.
- A button to submit the request.

Step 4: Implement the backend functionality that utilizes 'ascii-art-ai-mcp' to convert the user's input text into ASCII art based on the selected options.

Step 5: Display the generated ASCII art to the user in a visually appealing manner, respecting the chosen formatting style (box or table).

Suggested Features:
- Include a preview option that shows a small sample of the ASCII art before final submission.
- Allow users to save the generated ASCII art as a text file or image file.
- Integrate a feature that allows users to upload an image and get ASCII art representation of that image, if supported by the package.
- Provide an option to customize the size of the ASCII art output.

Ensure that the application is user-friendly, responsive, and efficient in handling requests. Test the application thoroughly to ensure all functionalities work as expected.