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/install living-room-smoke-detector
Description
Simple smoke/fire detector for living room. Queries Dirigera air sensor every 5 minutes, detects dangerous PM2.5 over 250 or CO2 over 2000 levels, and broadc...
README (SKILL.md)
Living Room Smoke Detector
A simple, focused smoke and fire detection system that monitors the living room ALPSTUGA air sensor via the Dirigera hub.
What It Does
- Queries Dirigera directly every 5 minutes (not from database)
- Simple state only - keeps just the latest reading, no history
- Detects danger: PM2.5 > 250 µg/m³ OR CO2 > 2000 ppm
- Continuous alert - plays "Attention! Abnormal smoke level detected" on Mac speaker
- Loops until cleared - keeps playing every 5 seconds until air quality normalizes
- Backup smoke alarm - works alongside your regular smoke detector
Setup
1. Copy Alert Sound (optional)
If you already have the alert sound from the air monitor skill:
cp ~/.openclaw/workspace/skills/living-room-air-monitor/data/smoke_alert_message.mp3 \
~/.openclaw/workspace/skills/living-room-smoke-detector/data/alert.mp3
Otherwise it will auto-generate on first run.
2. Cron Setup
Add to crontab to check every 5 minutes:
*/5 * * * * /opt/homebrew/bin/python3 /Users/macmini/.openclaw/workspace/skills/living-room-smoke-detector/scripts/smoke_detector.py >> /tmp/smoke_detector.log 2>&1
Usage
Manual Check
python3 ~/.openclaw/workspace/skills/living-room-smoke-detector/scripts/smoke_detector.py
View Status
# Latest reading
cat ~/.openclaw/workspace/skills/living-room-smoke-detector/data/detector_state.json
# Log
tail -f /tmp/smoke_detector.log
How It Works
- Cron triggers every 5 minutes
- Fetches data directly from Dirigera hub
- Checks thresholds:
- PM2.5 > 250 µg/m³ (smoke particles)
- CO2 > 2000 ppm (combustion byproduct)
- If danger detected:
- Saves state (alert_active = true)
- Enters alert loop
- Plays alert sound every 5 seconds
- Re-checks sensor between plays
- Exits loop when air clears
- If normal: Updates state and exits
State File
data/detector_state.json:
{
"latest_reading": {
"pm25": 3,
"co2": 525,
"time": "2026-02-25T20:30:00"
},
"alert_active": false,
"last_check": "2026-02-25T20:30:00"
}
Alert Behavior
When danger is detected:
- Mac speaker plays: "Attention! Abnormal smoke level detected"
- Waits 5 seconds
- Checks sensor again
- Repeats until PM2.5 ≤ 250 AND CO2 ≤ 2000
- Press Ctrl+C to stop manually if needed
Files
| File | Purpose |
|---|---|
scripts/smoke_detector.py |
Main detection script |
data/alert.mp3 |
Alert sound file |
data/detector_state.json |
Latest reading and status |
Dependencies
- Python 3.x
- Dirigera hub access (192.168.1.100)
- Auth token at
~/.openclaw/workspace/.dirigera_token - macOS
afplay(built-in) sayandffmpeg(for alert generation)
Differences from Air Monitor Skill
| Feature | Air Monitor | Smoke Detector |
|---|---|---|
| Data storage | Full SQLite database | Latest reading only |
| Query source | Database | Dirigera directly |
| Frequency | Every 2 min | Every 5 min |
| Purpose | History + charts | Immediate alerting |
| Alert | Single play | Continuous loop |
| Complexity | Multi-feature | Single-purpose |
Use both for complete coverage: air monitor for data logging, smoke detector for focused alerting.
Usage Guidance
This skill appears to do what it claims: poll your local Dirigera hub and play an alert on macOS. Before installing or running it, consider the following: 1) The script reads a local token file (~/.openclaw/workspace/.dirigera_token) — ensure that file contains only the expected Dirigera token and has restrictive file permissions (chmod 600) so other users can't read it. 2) The script disables TLS certificate validation for the hub connection (accepts self-signed certs) — on untrusted networks this raises a MITM risk; prefer to configure it to trust the hub certificate or run only on a trusted LAN. 3) Paths in the SKILL.md (cron entry, /Users/macmini, /opt/homebrew/bin/python3) are user-specific — update them for your system. 4) The alert loop will play sound continuously until readings clear (and may be loud); ensure this behavior is acceptable and that ffmpeg/say/afplay are installed. 5) If you need portability or stricter security, modify the script to accept the hub IP and token path via command-line args or environment variables and re-enable certificate validation. Finally, test manually (run the script interactively) before adding to crontab so you can verify behavior and that it uses the correct token and hub.
Capability Analysis
Type: OpenClaw Skill
Name: living-room-smoke-detector
Version: 1.0.0
The skill is classified as suspicious due to a significant security vulnerability in `scripts/smoke_detector.py`. The script disables SSL certificate verification (`ssl.CERT_NONE` and `ssl_context.check_hostname = False`) when communicating with the local Dirigera hub. While this might be a common workaround for local IoT devices with self-signed certificates, it creates a Man-in-the-Middle (MITM) vulnerability on the local network, allowing an attacker to intercept or alter communication with the hub. Although this is a vulnerability rather than direct malicious intent (e.g., no evidence of data exfiltration to external endpoints or unauthorized remote control), it represents a meaningful security risk.
Capability Assessment
Purpose & Capability
Name/description (living-room smoke detector) match the code and SKILL.md: the script polls a Dirigera hub, checks PM2.5/CO2 thresholds, saves a minimal local state file, and plays alerts on macOS. No unrelated services, credentials, or binaries are requested.
Instruction Scope
SKILL.md and the script both direct the agent/user to read a local token file (~/.openclaw/workspace/.dirigera_token), contact a local hub at 192.168.1.100:8443, write a small state file under the skill data directory, and optionally copy an alert mp3 from another skill — all are within the stated purpose. Notes: the cron example and file paths are heavily Mac-/user-specific (e.g., /Users/macmini and /opt/homebrew/bin/python3) and will need adjustment. The continuous alert loop behavior (repeating every 5s until cleared) is explicit and may be noisy but is intentional.
Install Mechanism
No install spec (instruction-only + a single script) — lowest-risk distribution model. Nothing is downloaded or extracted at install time.
Credentials
No environment variables are requested; the script reads a single local token file and uses a hard-coded local hub IP. That token file requirement is declared in SKILL.md (so the access is proportional), but the script disables SSL certificate checks for the hub (ssl_context.verify_mode = CERT_NONE), which weakens TLS protections and could allow MITM on untrusted networks. The hard-coded IP and token path reduce portability and should be configurable by the user.
Persistence & Privilege
Skill does not request always:true, does not modify other skills or system-wide configuration, and only writes its own small state file under the skill directory. Cron installation is suggested but is a user action (not automatic).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install living-room-smoke-detector - After installation, invoke the skill by name or use
/living-room-smoke-detector - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - smoke detection with continuous Mac speaker alerts
Metadata
Frequently Asked Questions
What is Living Room Smoke Detector?
Simple smoke/fire detector for living room. Queries Dirigera air sensor every 5 minutes, detects dangerous PM2.5 over 250 or CO2 over 2000 levels, and broadc... It is an AI Agent Skill for Claude Code / OpenClaw, with 516 downloads so far.
How do I install Living Room Smoke Detector?
Run "/install living-room-smoke-detector" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Living Room Smoke Detector free?
Yes, Living Room Smoke Detector is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Living Room Smoke Detector support?
Living Room Smoke Detector is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Living Room Smoke Detector?
It is built and maintained by Igor (@maverick-2); the current version is v1.0.0.
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