skills/capital/modeling-construction-period-risk/SKILL.md
Analyzes construction risk with EPC contract review, delay and cost overrun scenarios, and completion guarantee structures. Use when modeling construction risk, evaluating EPC terms, or stress testing project timelines.
npx skillsauth add casemark/skills modeling-construction-period-riskInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Map the EPC risk allocation — Extract key risk provisions from the EPC contract: price structure (lump-sum turnkey vs. open-book), LD caps (typical range: 15-20% of contract price for aggregate LDs), warranty scope, defect liability period, and carve-outs from contractor liability (force majeure, owner-caused delays, change-in-law)
Build the construction cost model — Structure total project cost as: EPC price + owner's costs + development fees + financing costs (IDC + fees) + contingency. Model contingency drawdown assumptions. Separate hard costs from soft costs. Flag any cost items outside the EPC wrap [VERIFY: treatment of sales tax/VAT on construction costs by jurisdiction]
Model the draw schedule — Create monthly or quarterly construction draw curves. Standard S-curve or milestone-based draws tied to EPC payment schedule. Layer in equity-first vs. pro-rata vs. debt-first contribution mechanics. Calculate IDC based on drawn balances and construction facility pricing
Run delay scenarios — Model 3-6-12 month delay cases:
Run cost overrun scenarios — Model 10-20-30% cost overrun cases:
Evaluate completion guarantee structures — Assess the enforceability and credit backing of:
Stress-test debt metrics during construction — Calculate construction-period covenant compliance: maximum loan-to-cost ratio, minimum equity contribution percentage, conditions precedent to each draw (independent engineer certification, budget-to-complete test). Model whether delay/overrun scenarios trigger draw-stop events or covenant breaches
development
name: automated-contract-summary language: en description: Generates structured executive summaries of contracts using ML — captures key terms, party obligations, risk allocations, and compliance requirements in a standardized format. Optimized for high-volume review where speed and consistency matter. tags: - summarization - agreement - corporate --- # Automated Contract Summarization Produces standardized executive summaries of contracts using machine learning, capturing essential term
tools
Extracts regulatory obligations from dense regulations across jurisdictions. Breaks down multi-level regulations into clear article-level obligations, classifies applicability to a business, and prioritizes by risk level. Use when translating regulations into actionable compliance requirements.
development
Continuously monitors regulatory landscapes for changes relevant to a specific business. Ingests global regulatory updates, filters by relevance, summarizes impact, and produces an actionable change advisory. Use when tracking regulatory developments affecting a particular product or market.
testing
Compares an organization's existing compliance controls, policies, and procedures against extracted regulatory obligations to identify coverage gaps. Produces a remediation plan with prioritized actions. Use when assessing compliance maturity or preparing for regulatory audits.