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Get Started Free →datadrivenconstruction/subcontractor-prequalification
Prequalify subcontractors based on safety, financial, and performance criteria.
Passed 21 of 22 test cases with the skill, and 10 of 22 without it.
and 12 more in the full report
12 fixed9 passed either way0 still failing1 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.
Which safety metric field is recorded in the subcontractor application model to represent the Experience Modification Rate?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies field name as emr_rate | Missed | Passed |
The instructions your model reads when the skill loads.
import pandas as pd
from datetime import date
from typing import Dict, Any, List
from dataclasses import dataclass, field
from enum import Enum
class QualificationStatus(Enum):
PENDING = "pending"
QUALIFIED = "qualified"
CONDITIONALLY_QUALIFIED = "conditionally_qualified"
NOT_QUALIFIED = "not_qualified"
@dataclass
class PrequalificationCriteria:
name: str
weight: float
min_score: int
max_score: int = 10
@dataclass
class SubcontractorApplication:
app_id: str
company_name: str
trade: str
contact_email: str
years_in_business: int
annual_revenue: float
bonding_capacity: float
emr_rate: float # Experience Modification Rate
status: QualificationStatus
scores: Dict[str, int] = field(default_factory=dict)
documents_received: List[str] = field(default_factory=list)
test cases passed, vs 10 / 22 without
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