🤖 AI Analysis

Final verdict: SAFE

The package appears to be primarily focused on image generation with no significant indications of malicious intent. The moderate obfuscation score is not enough to raise substantial concerns.

Low network and shell risks.
No evidence of credential harvesting.
Moderate obfuscation risk due to base64 decoding.

Per-check LLM notes

Network: The network calls are likely for fetching images, which is reasonable for an image creation tool.
Shell: No shell execution patterns detected, indicating low risk.
Obfuscation: Base64 decoding is commonly used for data encoding and may not necessarily indicate malicious activity, but the presence of encoded images could suggest some level of obfuscation.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The maintainer has only one package, which might indicate a new or less active account.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 13 test file(s) found

Test runner config found: conftest.py
Test runner config found: pyproject.toml
13 test file(s) detected (e.g. conftest.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/jenreh/appkit/tree/main/docs
Detailed PyPI description (10958 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

158 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 100 commits in jenreh/appkit
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

y: async with httpx.AsyncClient() as client: resp = await client.get(img
_params() async with httpx.AsyncClient(timeout=120.0) as client: response = await clien
async with httpx.AsyncClient() as client: resp = await client.get

⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

e") image_bytes = base64.b64decode(b64_json) generated_images.append(GeneratedImage
image_bytes = base64.b64decode(img.b64_json) generated_images.append(
G) test_image_bytes = base64.b64decode( "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAA
# 1x1 pixel PNG return base64.b64decode( "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADU

✓ 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

Repository jenreh/appkit appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Jens Rehpöhler" 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 appkit-imagecreator

Create a personalized meme generator application using the Python package 'appkit-imagecreator'. This application will allow users to upload their own images and add custom text to create personalized memes. The application should include the following features:

1. User-friendly interface: Design an intuitive UI where users can easily navigate and use the application.
2. Image upload functionality: Users should be able to upload their own images from their local device.
3. Text customization: Allow users to add multiple lines of text with customizable font styles, sizes, colors, and positions on the image.
4. Save and share options: Provide options for users to save their created memes locally and share them via social media platforms like Twitter, Facebook, etc.
5. Predefined templates: Include a set of predefined meme templates with popular sayings and phrases.
6. Preview mode: Implement a preview mode that allows users to see their final meme before saving or sharing it.

Utilize the 'appkit-imagecreator' package to handle the core functionalities such as image manipulation, text rendering, and template management. Ensure that the application is fully functional and provides an engaging user experience.