A hardware-integration skill that allows AI agents to detect and react to physical impacts or shakes on a MacBook using the built-in accelerometer.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install slap-detector
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 slap-detector 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 Slap Detector?
The Slap Detector is a specialized hardware-interaction skill designed specifically for Apple Silicon MacBooks. By leveraging the built-in accelerometer via an MCP server, it allows your AI agent to perceive the physical world. This skill is a unique addition to the Openclaw Skills library, transforming a standard laptop into a sensory-aware device that can distinguish between minor vibrations and significant physical shocks.
Once integrated, the agent can monitor for physical events in real-time, providing a bridge between software logic and physical environment. This enables developers to create more interactive and responsive agent personalities that react with humor or concern when the hardware is handled roughly.
Slap Detector Use Cases
- Creating interactive AI personalities that respond to physical touch or frustration.
- Monitoring laptop safety by logging high-impact events or unauthorized movement.
- Debugging hardware-adjacent software where physical triggers are required.
- Enhancing the user experience of Openclaw Skills by adding a layer of physical feedback and haptic awareness.
How Slap Detector Works
- The agent connects to the slap-your-openclaw MCP server which requires administrative privileges to access the MacBook accelerometer.
- The skill enters a Warmup and Arming phase to calibrate the sensors against ambient vibration.
- The agent utilizes the
slap_wait_for_eventtool to pause execution until a physical impact exceeds the defined sensitivity threshold. - When an impact is detected, the hardware classifies the event based on G-force amplitude into levels ranging from 1 (Micro-vibration) to 6 (Major shock).
- The agent processes the event metadata, including severity and event type, to trigger a contextually appropriate theatrical response.
Slap Detector Setup
To enable this skill, you must ensure your Apple Silicon MacBook has the necessary MCP server installed. Add the following configuration to your agent's MCP settings file:
{
"slap-detector": {
"command": "sudo",
"args": ["slap-your-openclaw", "mcp"]
}
}
Ensure that you provide the necessary permissions for the command to run with sudo to access the hardware sensors required for Openclaw Skills to function.
Slap Detector Data Schema & Taxonomy
The skill organizes physical impact data into a structured format for easy analysis:
| Property | Description | Range/Values |
|---|---|---|
| level | Numeric intensity of the event | 1 to 6 |
| severity | Human-readable impact classification | MICRO_VIB to CHOC_MAJEUR |
| type | Categorization of the movement | SLAP_EVENT or SHAKE_EVENT |
| amplitude | Raw G-force measurement | e.g., 0.15g |
| timestamp | The exact time of the detected impact | ISO-8601 String |
Slap Detector Advanced Features
- Dynamic sensitivity adjustment: Use
slap_set_configto modifymin_levelthresholds without restarting the server. - Historical event auditing: Retrieve and summarize patterns of physical handling using the
slap_get_eventstool. - Adaptive personality matrix: Scripts that escalate reactions based on frequency and intensity of repeated impacts.
- Multi-agent coordination: Share physical event triggers across different Openclaw Skills to sync hardware-aware behaviors.
SKILL.md
Loading
Related Openclaw Skills
Miniflux RSS Manager
A comprehensive integration for managing Miniflux RSS instances, enabling AI agents to browse, search, and organize feeds.
ClawProof Security
A comprehensive security scanner designed to protect OpenClaw agents from malicious skills, hallucinated packages, and prompt injection attacks.
iFinD Financial Data Query Skill
A comprehensive financial data retrieval tool for AI agents to access real-time and historical Chinese market data via the THS iFinD API.
china-ifind: Chinese Financial Data Query
A professional-grade financial data integration providing real-time and historical market data for the Chinese financial market.
Memos Management Skill
A powerful integration for performing full CRUD operations on self-hosted Memos instances, enabling seamless note-taking and knowledge retrieval.
MinIO Share Skill
A powerful utility for uploading files to MinIO object storage and generating formatted Markdown sharing links with rich media previews.
Featured*
