Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Transform an Android phone with IP Webcam into an intelligent Edge AI security system with OpenClaw.
Transform an Android phone with IP Webcam into an intelligent Edge AI security system with OpenClaw.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Use the Clawd Sentinel pattern to turn any old Android smartphone into a sovereign, frugal, and intelligent motion detection system.
Android Side: Install "IP Webcam" (by Pavel Khlebovich) and start the server. Connectivity: Note the local IP (e.g., 192.168.1.100:8080). OpenClaw Workspace: bin/sentinel_ultra_frugal.sh: The core logic for pixel comparison. bin/sentinel_runner.sh: The background loop runner.
The IP Webcam server provides a REST-like API for full remote control. Base URL: http://<IP>:8080/
Standard Snapshot: /shot.jpg (Fastest, current frame) Autofocus Snapshot: /photoaf.jpg (Triggers autofocus before capture, highest quality) Video Recording: Start: /startvideo?name=alert_123 Stop: /stopvideo List recordings: /list_videos (returns JSON/HTML) Download: /v/<filename>.mp4
Focus Distance: /settings/focus_distance?set=<0.0-10.0> (0.0 is often Infinity) Torch (Flash): /enabletorch | /disabletorch Focus Mode: /settings/focusmode?set=<on|off|macro|infinity|fixed> Scene Mode: /settings/scenemode?set=<auto|night|action|party...> White Balance: /settings/whitebalance?set=<auto|daylight|cloudy...>
Sensors Data: /sensors.json (Battery, light level, proximity, accelerometer) System Status: /status.json (Camera state, recording status, uptime)
Audio Feed: /audio.wav or /audio.opus (Live audio stream)
# Get battery level via jq curl -s http://<IP>:8080/sensors.json | jq '.battery_level[0][1][0]' # Toggle flash remotely curl http://<IP>:8080/enabletorch
Daytime (Haze/Clouds): 2500 Nighttime (ISO noise): 1500
Frugality: No tokens are consumed unless the pixel differential exceeds the threshold. Privacy: Raw frames remain local. Only alert-triggered frames are sent to the AI. Maintenance: Periodically check phone battery and Wi-Fi stability. Lens flare: Long rainbow flares in night mode usually indicate static lights, not vehicles.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.