pratikrath126Community·47 Agent Skills Included

ai-image-detector

Detect AI-generated images with multi-engine verification

Detects AI-generated images by combining three independent engines: a commercial detection API, a vision transformer model, and local metadata analysis. Cross-validates results with weighted voting to reduce false positives and deliver a single confidence score. Processes uploads in real time without storing images, and ships with a full-stack Next.js codebase ready to deploy.

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npx skills add pratikrath126/ai-image-detector --all -g -y

All Skills in This Repository (47)

Pure Emerald Level Indicators

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pratikrath126

documentation-templates

Provide standardized documentation templates for README, API docs, and architecture guides.

lint-and-validate

Automate linting and static analysis for Node.js/TypeScript and Python projects.

i18n-localization

Detect hardcoded strings and validate locale files across React, Next.js, and Python projects.

testing-patterns

Identify and apply testing patterns for structuring reliable test suites.

server-management

Teach principled server management for Linux-based production services.

nodejs-best-practices

Guide Node.js framework, runtime, and architecture decisions for projects.

python-patterns

Guide Python framework selection and async versus sync decisions with decision trees.

brainstorming

Clarify vague requests through targeted Socratic questions and progress reporting.

web-design-guidelines

Fetch UI files and evaluate them against Web Interface Guidelines for accessibility and UX compliance.

mobile-design

Guide mobile design thinking and pre-work validation for iOS and Android apps.

database-design

Assess database schema designs and indexing strategies for integrity and query performance.

systematic-debugging

Enforce a four-phase debugging workflow from reproduction to verification.

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Frequently Asked Questions

FAQPage Schema

How to install ai-image-detector?▼

Run `npx skills add pratikrath126/ai-image-detector --all -g -y` in your terminal to install all skills in this suite globally.

How does the AI image detector work?▼

It sends each uploaded image to three independent engines (Sightengine, a Hugging Face vision model, and local metadata analysis), then merges their verdicts with weighted voting for a reliable final score.

Are uploaded images stored or shared?▼

No. Images are processed in real time and never saved to disk or a database, making the app privacy-friendly by design.

What do I need to run this project myself?▼

You need Node.js, a free Sightengine API key, and optionally a Hugging Face token. Add them as environment variables, then deploy to Vercel or run locally.

Can non-developers use this image detector?▼

Yes. The hosted live demo lets anyone drag and drop an image and get an instant verdict with a confidence score, no coding required.