A lightweight reference skill designed to demonstrate core OpenClaw integration and deterministic text processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-echo-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-echo-agent 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 EchoAgent?
EchoAgent serves as a foundational building block within the Openclaw Skills ecosystem. It is a minimal, OpenClaw-compatible skill designed to accept text input, process it through a specific tool, and return a deterministic output. This makes it an ideal starting point for developers looking to understand the mechanics of agent-based tool use and output consistency.
As a reference implementation, it prioritizes clarity and interoperability, showcasing how a skill can be structured to participate in larger, more complex automated tasks. Its simplicity ensures that it can be easily audited and adapted for more specialized logic while maintaining compatibility with the OpenClaw standard.
EchoAgent Use Cases
- Learning how to structure and publish new Openclaw Skills.
- Serving as a basic text processing node in multi-agent chains.
- Testing the connectivity and tool-calling capabilities of an AI agent environment.
- Debugging complex workflows by using a deterministic, predictable component.
How EchoAgent Works
- The skill receives a text string as input from a calling agent or user.
- It triggers the internal tool defined in agent.py to process the provided input.
- The system executes the logic to generate a deterministic response based on the input text.
- The resulting string is returned as a structured output, ready to be consumed by the next agent in the sequence.
EchoAgent Setup
To integrate this skill into your project, ensure you have the OpenClaw environment configured. You can initialize the skill using the following commands:
# Clone the repository
git clone https://github.com/openclaw/echo-agent.git
# Navigate to the directory
cd echo-agent
# Install dependencies (if applicable)
pip install -r requirements.txt
Configure your environment variables to point to the agent.py entry point within your agent configuration.
EchoAgent Data Schema & Taxonomy
EchoAgent maintains a simple data structure focused on string input and output. It does not persist local databases, making it highly portable within Openclaw Skills setups.
| Attribute | Type | Description |
|---|---|---|
| text | string | The raw input data to be processed |
| result | string | The deterministic output generated by the tool |
| agent.py | file | The primary entry point for skill logic |
EchoAgent Advanced Features
- Native compatibility with multi-agent orchestration frameworks.
- Deterministic output ensuring reliability in automated pipelines.
- Seamless chaining capabilities for complex Openclaw Skills workflows.
- Lightweight footprint for minimal resource consumption during execution.
SKILL.md
Loading
Related Openclaw Skills
Agent Wake
A bridge that allows external scripts and background processes to wake and trigger responses from OpenClaw agents upon task completion.
dakboard
A comprehensive CLI tool to manage DAKboard screens, devices, and push dynamic metrics using Openclaw Skills.
feelgoodbot
A security-focused tool providing file integrity monitoring and TOTP step-up authentication for macOS-based AI agents.
Lightpanda
A high-performance, lightweight headless browser designed as a drop-in replacement for Chrome in automated data retrieval tasks.
Find Skills (reskill)
A specialized tool for discovering, searching, and installing new AI agent capabilities from the reskill ecosystem.
reskill Usage Guide
A declarative, Git-based package manager designed to install, version, and manage AI agent skills across multiple platforms.
Featured*
