Agent skill · data analytics · datadrivenconstruction
cwicr-risk-calculator
Calculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.
Why this skill is useful
Adds domain-specific knowledge for risk-adjusted cost estimation using Monte Carlo simulations and CWICR data that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 6k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
CWICR Risk Calculator Business Case Problem Statement Cost estimates have inherent uncertainty: What contingency to apply? What is the confidence range? Which items have highest risk? How to quantify uncertainty? Solution Risk-adjusted cost calculations using contingency analysis, Monte Carlo simulation, and probability distributions based on CWICR cost data. Business Value Informed decisions - Understand estimate uncertainty Appropriate contingency - Data-driven risk allowance Confidence intervals - P50, P80, P90 estimates Risk prioritization - Focus on high-impact items Technical Implementation Quick Start Common Use Cases 1. Phase-Based Contingency 2. Sensitivity Analysis 3. Export Report Resources GitHub: OpenConstructionEstimate-DDC-CWICR DDC Book: Chapter 3.1 - Risk-Based Estimating
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-risk-calculator