Fulcra Control Panel

Fulcra Control Panel

This skill provides the automated setup for a local-only administration interface. It is purposefully isolated from the fulcra-dashboard visualizer for strict security separation, ensuring that read/write liabilities (such as agent chat and file exploration) cannot be accidentally published to the web.

Strictly Local First

CRITICAL SECURITY DECREE: This control panel must NEVER be published to the public internet or served via Surge, GitHub Pages, or Vercel. It is a strictly local administrative tool that binds to localhost and requires a persistent Python backend to function. It has access to sensitive files and has the power to send commands to the agent.

Usage

When a user requests to "set up the control panel" or "enable the chat envoy" for their Fulcra setup, execute the scaffolding script.

# Run the setup script to scaffold the Control Panel
./scripts/setup-control-panel.sh <target-directory>

If no <target-directory> is provided, it defaults to creating a fulcra-control-panel folder in the current working directory.

Workflow

1. Scaffold: The script copies a clean, styled Alpine.js administration panel into the target directory, alongside the robust Python server.py backend.
2. Theming:
   • Discover Vibe: Ask the user what kind of administrative interface they prefer (e.g., a high-tech starship bridge, a retro command-line terminal, a cozy oak-paneled study).
   • Original Art: Generate one piece of highly creative thematic art using the image_generate tool and use it as the header hero image.
   • CSS and HTML Adaptation: Update theme.css and index.html to reflect the chosen theme. Adjust colors, labels (e.g., rename "Relay" and "File Store" if appropriate), and fonts. Maintain the Bento Grid layout to ensure responsive structural integrity.
3. Run the Backend:
   • Start the local Python server to boot the control plane:

     cd <target-directory>
     python3 server.py 8080 > dev.log 2>&1 &
     

   • Provide the user with the http://localhost:8080 link.
4. Connect the Chat Envoy (Agent Loop):
   • The Control Panel has a built-in Chat Envoy that relies on you (the agent) checking for new messages.
   • The Python server exposes GET /api/chat/unread which returns the latest user commands from the chat window.
   • Set up a background bash script using the exec tool (or propose an OpenClaw native cron heartbeat based on the user's token preference) that loops and checks http://localhost:8080/api/chat/unread.
   • When new messages appear in the JSON payload, the script should invoke OpenClaw via the CLI (openclaw agent --to main --message "ENVOY MESSAGE: <text>") to trigger your response, which you will then write back to the chat.json log or via standard output routing.