skills$openclaw/clawdsense
snail3d2.2k

by snail3d

clawdsense – OpenClaw Skill

clawdsense is an OpenClaw Skills integration for data analytics workflows. Real-time image analysis from ClawdSense ESP32 dongle. Monitors media receiver, captures photos from device, analyzes instantly with Groq Vision. Use when ClawdSense sends photos via /photo command or button controls. Provides instant room analysis, occupancy detection, and environmental awareness.

2.2k stars5.8k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026data analytics

Skill Snapshot

nameclawdsense
descriptionReal-time image analysis from ClawdSense ESP32 dongle. Monitors media receiver, captures photos from device, analyzes instantly with Groq Vision. Use when ClawdSense sends photos via /photo command or button controls. Provides instant room analysis, occupancy detection, and environmental awareness. OpenClaw Skills integration.
ownersnail3d
repositorysnail3d/voice-devotionalpath: clawdsense-skill
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @snail3d/voice-devotional:clawdsense-skill
last updatedFeb 7, 2026

Maintainer

snail3d

snail3d

Maintains clawdsense in the OpenClaw Skills directory.

View GitHub profile
File Explorer
5 files
clawdsense-skill
scripts
analyzer.js
3.7 KB
health-monitor.js
2.2 KB
media-receiver.js
3.5 KB
SKILL.md
2.6 KB
SKILL.md

name: clawdsense description: Real-time image analysis from ClawdSense ESP32 dongle. Monitors media receiver, captures photos from device, analyzes instantly with Groq Vision. Use when ClawdSense sends photos via /photo command or button controls. Provides instant room analysis, occupancy detection, and environmental awareness.

ClawdSense Skill

Real-time image capture and analysis from ClawdSense ESP32 dongle.

Quick Start

Start Services

# Terminal 1: Media receiver (accepts photo uploads from ESP32)
node ~/clawd/clawdsense-skill/scripts/media-receiver.js

# Terminal 2: Analyzer (monitors inbound folder, analyzes with Groq)
node ~/clawd/clawdsense-skill/scripts/analyzer.js

# Terminal 3: Health monitor (keeps both services alive)
node ~/clawd/clawdsense-skill/scripts/health-monitor.js

Usage

  1. Send /photo command to ClawdSense via Telegram
  2. Device captures and POSTs to media receiver (port 5555)
  3. Analyzer detects new photo and analyzes with Groq Vision
  4. Results printed to console

Architecture

Three Components

Media Receiver (port 5555)

  • Accepts multipart/form-data uploads from ESP32
  • Stores photos in ~/.clawdbot/media/inbound/
  • Endpoints:
    • POST /inbound/photo - JPEG photos
    • POST /inbound/audio - WAV audio
    • POST /inbound/video - AVI video

Analyzer (real-time polling)

  • Polls inbound folder every 500ms
  • Detects new photos automatically
  • Sends to Groq Vision API for analysis
  • Uses pixtral-12b model for instant results

Health Monitor

  • Checks both services every 30s
  • Restarts if either dies
  • Logs status to console

Performance

  • Detection latency: ~500ms (polling interval)
  • Analysis time: 1-3s (Groq API)
  • Total end-to-end: ~2-5s from capture to results

Configuration

ESP32 Firmware Settings

Device must be configured with:

MEDIA_RECEIVER_URL = "http://localhost:5555"
or for public: "https://your-ngrok-url"

Groq API Key

Stored in environment:

export GROQ_API_KEY="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"

Troubleshooting

"Media receiver is DOWN"

  • Check if port 5555 is in use
  • Restart: node ~/clawd/clawdsense-skill/scripts/media-receiver.js

"No new photos detected"

  • Is device sending to media receiver? Check device logs
  • Is media receiver running? Curl http://localhost:5555/health
  • Check inbound folder permissions

"Groq API errors"

  • Verify API key is set
  • Check account quota/billing

References

  • See references/groq-vision-api.md for Groq setup
  • See references/esp32-setup.md for device configuration
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

Configuration

### ESP32 Firmware Settings Device must be configured with: ``` MEDIA_RECEIVER_URL = "http://localhost:5555" or for public: "https://your-ngrok-url" ``` ### Groq API Key Stored in environment: ```bash export GROQ_API_KEY="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" ```

FAQ

How do I install clawdsense?

Run openclaw add @snail3d/voice-devotional:clawdsense-skill in your terminal. This installs clawdsense into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/snail3d/voice-devotional. Review commits and README documentation before installing.