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Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.
Passed 18 of 22 test cases with the skill, and 6 of 22 without it.
and 11 more in the full report
12 fixed6 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
When parsing an IoT vibration sensor payload where the unit field is omitted from the JSON payload, what default value does `parse_sensor_reading` supply for the unit property?
| Checked | Without skill | With skill |
|---|---|---|
| The parse_sensor_reading method sets the default unit to an empty string. | Missed | Passed |
The instructions your model reads when the skill loads.
Construction systems increasingly use JSON for data exchange - from IoT sensors to BIM metadata exports. This skill handles parsing, validation, and flattening of JSON structures.
import json
import pandas as pd
from typing import Dict, Any, List, Optional, Union
from dataclasses import dataclass
from pathlib import Path
@dataclass
class JSONParseResult:
"""Result of JSON parsing operation."""
success: bool
data: Any
errors: List[str]
record_count: int
class ConstructionJSONParser:
"""Parse JSON data from construction sources."""
def __init__(self):
self.errors: List[str] = []
def parse_file(self, file_path: str) -> JSONParseResult:
"""Parse JSON from file."""
try:
with open(file_path, 'r', encoding='utf-8') as f:
data = json.load(f)
return JSONParseResult(True, data, [], self._count_records(data))
except json.JSONDecodeError as e:
return JSONParseResult(False, None, [f"JSON Error: {e}"], 0)
except Exception as e:
return JSONParseResult(False, None, [str(e)], 0)
test cases passed, vs 6 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.