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Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.
Passed 18 of 22 test cases with the skill, and 5 of 22 without it.
and 14 more in the full report
13 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When requesting a zone status summary for a zone name that has no registered sensors, what dictionary structure is returned?
| Checked | Without skill | With skill |
|---|---|---|
| Returns a dictionary containing the zone key and an error message indicating no sensors in zone. | Missed | Passed |
The instructions your model reads when the skill loads.
Collect, aggregate, and analyze data from IoT sensors deployed across construction sites. Support real-time monitoring of environmental conditions, equipment status, structural integrity, and worker safety through unified data processing.
┌─────────────────────────────────────────────────────────────────┐
│ SENSOR DATA AGGREGATION │
├─────────────────────────────────────────────────────────────────┤
│ │
│ SENSORS AGGREGATOR OUTPUTS │
│ ─────── ────────── ─────── │
│ │
│ 🌡️ Temperature ─────┐ 📊 Dashboard │
│ 💧 Humidity ─────┤ ┌──────────────┐ ⚠️ Alerts │
│ 📊 Vibration ─────┼───→│ AGGREGATE │───→ 📈 Analytics │
│ 🔊 Noise ─────┤ │ PROCESS │ 📋 Reports │
│ 💨 Air Quality ─────┤ │ ANALYZE │ 🔄 API │
│ 📍 Location ─────┘ └──────────────┘ │
│ │
│ DATA FLOW: │
│ Raw → Validate → Transform → Store → Analyze → Alert │
│ │
│ ANALYSIS: │
│ • Real-time monitoring │
│ • Trend detection │
│ • Anomaly identification │
│ • Threshold alerting │
│ │
└─────────────────────────────────────────────────────────────────┘
from dataclasses import dataclass, field
from typing import List, Dict, Optional, Callable, Tuple
test cases passed, vs 5 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.