Quantum Messenger IM for Openclaw

A secure communication bridge that enables China Telecom users to interact with Openclaw Skills through Quantum Secret Instant Messaging.

codenamelokcon
v1.0.2
Mar 6, 2026
1
764
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install quantum-messenger

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install quantum-messenger using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Quantum Messenger IM?

The Quantum Messenger IM skill is a specialized gateway developed by the Shanghai Telecom Quantum Capability Center. It provides a secure interface for employees and clients to engage with AI agents via the Quantum Secret Instant Messaging platform. By integrating Openclaw Skills into this hardened messaging environment, users can leverage powerful AI workflows while maintaining the strict security standards of quantum-encrypted communications.

This skill transforms standard messaging into a command center for automation, allowing for the seamless exchange of text, images, and documents. It is specifically designed to facilitate internal enterprise tasks and customer support within the China Telecom ecosystem, ensuring that every interaction with Openclaw Skills is both intelligent and protected.

Quantum Messenger IM Use Cases

  • Deploying secure AI session robots within China Telecom's internal infrastructure.
  • Automating the distribution of encrypted reports and files via Openclaw Skills.
  • Providing real-time status feedback for complex technical workflows through a mobile IM interface.
  • Enabling field technicians to query technical documentation using image-based search and AI analysis.

How Quantum Messenger IM Works

  1. The skill initializes a dedicated listener on port 9001 to monitor incoming traffic from the Quantum Messenger platform.
  2. When a user sends a message, the skill identifies the payload type, distinguishing between text, image (type 1), or file (type 2) data.
  3. The incoming data is passed to the Openclaw Skills engine for processing and intent analysis.
  4. Once the AI generates a response, the skill packages the output into the appropriate Quantum Messenger format (content, imageMsg, or fileMsg).
  5. The response is securely transmitted back to the user via the callback URL configured in the Quantum Messenger app settings.

Quantum Messenger IM Setup

To deploy this skill, ensure you have Node.js installed and your Quantum Secret credentials ready.

# Define the required environment variable
export QUANTUM_KEY="your_quantum_secret_key"

# Open port 9001 in your security group or firewall to allow incoming callbacks

# Install the skill via the OpenClaw CLI
openclaw install quantum-messenger-im

Note: The callback URL must be manually configured within the robot settings of the Quantum Messenger mobile application.

Quantum Messenger IM Data Schema & Taxonomy

The skill organizes data based on the Quantum Messenger protocol requirements:

Attribute Description Data Type
content The primary text message extracted from or sent to the user String
type Message category (1 for images, 2 for files) Integer
imageMsg Metadata and payload for image-based interactions Object
fileMsg Metadata and payload for document/attachment transfers Object
callback_url The destination endpoint for Openclaw Skills responses URL

Quantum Messenger IM Advanced Features

  • Multi-modal support for handling various media types including encrypted images and file attachments.
  • Real-time status bar feedback providing users with visual cues during AI processing cycles.
  • Seamless integration with China Telecom's Quantum Secret custom session robot API.
  • Automated extraction and mapping of content fields for high-accuracy response delivery within Openclaw Skills.

SKILL.md


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