🤖 AI Analysis

Final verdict: SUSPICIOUS

The ai-tools-box package has a moderate risk score due to low maintenance and poor metadata quality, despite showing no signs of network risks, shell execution, or obfuscation.

Metadata risk is rated at 4 out of 10.
Low maintenance and metadata quality raise concerns about the package's reliability.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution risk.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
Metadata: The package shows low maintenance and metadata quality, raising some suspicion but not definitive 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 (2038 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 ai-tools-box

Create a fully-functional mini-app named 'AI Image Captioner' using the Python package 'ai-tools-box'. This app will allow users to upload images and receive descriptive captions generated by AI. The app should have a simple yet modern UI and should be able to handle various image formats efficiently.

Step-by-Step Instructions:
1. Set up a basic Flask web application structure. Ensure you have all necessary dependencies installed, including 'ai-tools-box'.
2. Integrate the 'ai-tools-box' package to enable AI-based caption generation capabilities. Use its pre-trained models for image analysis and captioning.
3. Develop a file upload functionality where users can select an image from their local storage. Validate the uploaded files to ensure they are images.
4. Implement a feature to process the uploaded image through the 'ai-tools-box' package and generate a caption based on the image content.
5. Display the generated caption alongside the uploaded image on the web page. Allow users to view multiple captions if the model generates more than one.
6. Add error handling to manage cases where the image cannot be processed or the caption generation fails.
7. Enhance user experience by providing feedback messages when an image is successfully uploaded or if there are any issues.
8. Optionally, implement a feature to save the generated captions and associated images in a database for future reference.

Suggested Features:
- Support for multiple image formats (JPEG, PNG, etc.).
- Option to regenerate captions if the initial result is unsatisfactory.
- A clean, responsive design suitable for both desktop and mobile devices.
- Integration of real-time updates for caption generation status.
- Ability to share the image and caption via social media platforms directly from the app.