wwa-transform
WWA Transform — Turn any website into an AI-powered agentfront. Claude Code plugin + Codex agent + CLI.
Install / Use
claude mcp add Humiris -- npx -y github:Humiris/wwa-transformIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Our assessment of wwa-transform
wwa-transform scores 71/100 on our quality scale, 867th of 939 AI & Machine Learning skills we index.
Its MCP Server is 3.9 KB long, well organised into 14 sections with 6 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 6 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 78/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
wwa-transform compared with similar skills
All 4 of these similar skills score higher than wwa-transform; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| wwa-transform (this skill)by Humiris | 71 | 3 | 6mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 105.0k | 3d ago | CLAUDE.md |
| claude-memby thedotmack | 100 | 103.8k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 88.6k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install wwa-transform?
- Run
claude mcp add Humiris -- npx -y github:Humiris/wwa-transform. The install tabs above show the steps for each supported agent. - Which AI agents does wwa-transform work with?
- It is written for Claude Code, Claude Desktop and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is wwa-transform safe to use?
- It declares no license and scores 78/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is wwa-transform still maintained?
- The repository was last updated about 6 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubCodiris Agentizer
Turn any website into an AI-powered agentfront — crawl, generate, deploy.
Codiris Agentizer is a plugin for Claude Code and Codex that transforms any website into a full agent-first experience with AI chat, voice calls, interactive product browsing, conversational checkout, and more.
Install
Claude Code
git clone https://github.com/Humiris/wwa-transform.git ~/.claude/skills/agentizer
Then in Claude Code:
/agentizer https://stripe.com
Codex (OpenAI)
Option A — Personal install:
# Clone the plugin
git clone https://github.com/Humiris/wwa-transform.git ~/.codex/plugins/agentizer
# Add to your personal marketplace
mkdir -p ~/.agents/plugins
cat > ~/.agents/plugins/marketplace.json << 'EOF'
{
"name": "wwa-plugins",
"interface": { "displayName": "WWA Plugins" },
"plugins": [{
"name": "agentizer",
"source": { "source": "local", "path": "../../.codex/plugins/agentizer" },
"policy": { "installation": "AVAILABLE", "authentication": "ON_INSTALL" },
"category": "Development"
}]
}
EOF
Then restart Codex, go to Plugins, and install Agentizer.
Option B — Repo-scoped install (for teams):
# In your repo root
mkdir -p .agents/plugins
git clone https://github.com/Humiris/wwa-transform.git .agents/plugins/agentizer
cat > .agents/plugins/marketplace.json << 'EOF'
{
"name": "wwa-plugins",
"interface": { "displayName": "WWA Plugins" },
"plugins": [{
"name": "agentizer",
"source": { "source": "local", "path": "./agentizer" },
"policy": { "installation": "AVAILABLE", "authentication": "ON_INSTALL" },
"category": "Development"
}]
}
EOF
Then ask Codex: "Transform stripe.com into an agentfront"
CLI (standalone)
npx wwa-transform https://stripe.com
The standalone CLI is still published under the
wwa-transformnpm package.
What It Does
- Crawls the target website — extracts brand, products, images, colors, navigation
- Analyzes the company — understands market, customers, value proposition
- Generates a full Next.js agentfront with:
- Split-pane layout (content left, AI chat right)
- AI chat powered by Gemini + GPT
- Real-time voice calls via Gemini Live
- 3D interactive product cards
- Conversational checkout & demo booking
- AI code generation for reports/dashboards
- Developer page with API keys & MCP server
- Deploys to
wwa.{domain}.codiris.appvia Vercel + Cloudflare
Live Examples
| Brand | Type | Live URL | |-------|------|----------| | Visa | Financial Services | wwa.visa.codiris.app | | Stripe | Developer API | wwa.stripe.codiris.app | | Apple | Consumer Tech | wwa.project2389.codiris.app |
Environment Variables
| Variable | Required | Purpose |
|----------|----------|---------|
| OPENAI_API_KEY | Yes | AI chat (GPT fallback) |
| GEMINI_API_KEY | Yes | AI chat (Gemini primary) |
| CLOUDFLARE_API_TOKEN | For DNS | Custom domain setup |
Tech Stack
Next.js 16 / React 19 / Tailwind v4 / Framer Motion / Zustand / Gemini 3.1 Flash / GPT-5.4 / Gemini Live / Vercel / Cloudflare
Plugin Structure
agentizer/
├── .claude-plugin/plugin.json # Claude Code manifest
├── .codex-plugin/plugin.json # Codex manifest
├── SKILL.md # Core skill instructions (at repo root so Claude Code auto-discovers on clone to ~/.claude/skills/agentizer)
├── references/ # Architecture, crawling, deployment guides
├── template/ # Next.js agentfront template
├── cli/ # Standalone CLI
├── AGENTS.md # Codex agent instructions
├── codex.json # Codex config
├── marketplace.json # Marketplace entry
└── assets/ # Logo, icons
License
MIT — Built by Iris Lab
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
