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Integrate open construction datasets. Combine open data sources for enhanced analysis
Passed 22 of 22 test cases with the skill, and 3 of 22 without it.
and 26 more in the full report
19 fixed3 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 19 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the OpenDataSource dataclass definition, what default values are assigned to api_key_required and license?
| Checked | Without skill | With skill |
|---|---|---|
| Sets default api_key_required to False | Passed | Passed |
| Sets default license to open | Missed | Passed |
The instructions your model reads when the skill loads.
Based on DDC methodology (Chapter 2.2), this skill integrates open construction datasets from various sources like government databases, industry benchmarks, weather services, and geospatial data.
Book Reference: "Доминирование открытых данных" / "Open Data Dominance"
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Any, Callable
from datetime import datetime, date
import json
import requests
from abc import ABC, abstractmethod
class DataSourceType(Enum):
"""Types of open data sources"""
GOVERNMENT = "government" # Government statistics
INDUSTRY_BENCHMARK = "benchmark" # Industry benchmarks
WEATHER = "weather" # Weather data
GEOSPATIAL = "geospatial" # Geographic data
MATERIAL_PRICES = "material_prices" # Material cost indices
LABOR_RATES = "labor_rates" # Labor cost data
BUILDING_PERMITS = "permits" # Permit data
ENERGY = "energy" # Energy prices/data
ECONOMIC = "economic" # Economic indicators
class UpdateFrequency(Enum):
"""Data update frequency"""
REALTIME = "realtime"
HOURLY = "hourly"
DAILY = "daily"
WEEKLY = "weekly"
MONTHLY = "monthly"
QUARTERLY = "quarterly"
ANNUAL = "annual"
test cases passed, vs 3 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.