analyzing-regulatory-rate-structures
Evaluates regulated utility rate-setting with RAB methodology, allowed return analysis, and regulatory reset risk assessment. Use when analyzing regulatory frameworks, modeling rate cases, or evaluating allowed return mechanics.
Best use case
analyzing-regulatory-rate-structures is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates regulated utility rate-setting with RAB methodology, allowed return analysis, and regulatory reset risk assessment. Use when analyzing regulatory frameworks, modeling rate cases, or evaluating allowed return mechanics.
Teams using analyzing-regulatory-rate-structures should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-regulatory-rate-structures/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-regulatory-rate-structures Compares
| Feature / Agent | analyzing-regulatory-rate-structures | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Evaluates regulated utility rate-setting with RAB methodology, allowed return analysis, and regulatory reset risk assessment. Use when analyzing regulatory frameworks, modeling rate cases, or evaluating allowed return mechanics.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing Regulatory Rate Structures Evaluates regulated utility rate-setting with RAB methodology, allowed return analysis, and regulatory reset risk assessment. ## When To Use - Assessing the revenue stability of a regulated utility or infrastructure concession prior to acquisition or financing - Modeling rate-case outcomes to stress-test project cash flows under different regulatory scenarios - Comparing allowed-return frameworks across jurisdictions for portfolio allocation decisions - Evaluating regulatory reset risk during due diligence on RAB-based assets (water, energy networks, transport) - Reviewing tariff adjustment mechanics in PPP/concession agreements ## Inputs To Gather - **Regulatory framework documents**: Governing legislation, regulator determinations, license conditions, and published methodology statements - **Rate-case filings and decisions**: Most recent final determination plus at least one prior period for trend analysis - **RAB composition data**: Opening RAB, capital additions (capex), depreciation methodology, indexation basis (CPI/RPI/other), and any RAB roll-forward schedules - **Allowed return parameters**: WACC components — risk-free rate source, equity beta, debt premium, gearing assumption, cost-of-equity methodology (CAPM, DGM, or hybrid) [VERIFY against regulator's published approach] - **Tariff structure details**: Volumetric vs. fixed charges, customer class breakdowns, pass-through cost items, efficiency sharing mechanisms (totex or opex-only) - **Regulatory calendar**: Control period dates, next reset window, interim review triggers, reopener provisions - **Comparable regulatory precedents**: Recent determinations from the same regulator or peer regulators in the jurisdiction ## Workflow 1. **Map the regulatory framework** - Identify the regulator, governing statute, and regulatory model (cost-of-service, incentive/RPI-X, revenue cap, price cap, or hybrid) - Determine the control period length and whether multi-year or annual true-ups apply - Note any legislative reform proposals or pending judicial review that could alter the framework [VERIFY current status] 2. **Reconstruct the RAB roll-forward** - Trace opening RAB through capex additions, disposals, depreciation, and inflation indexation - Confirm indexation basis and whether revaluation gains flow to RAB or are shared with consumers - Flag any one-off adjustments (e.g., logging-up of pre-vesting assets, impairments, or penalty deductions) 3. **Analyze the allowed return** - Decompose the regulator's WACC build-up: isolate each parameter and its source data - Compare allowed return against market cost of capital — identify any headroom or shortfall - Assess whether the cost-of-debt allowance uses embedded, trailing-average, or spot methodology [VERIFY] - Check for any return-adjustment mechanisms (e.g., totex incentive sharing, outcome delivery incentives, return-on-regulated-equity caps) 4. **Evaluate tariff mechanics and revenue risk** - Map how allowed revenue translates to end-user tariffs — identify volume risk exposure vs. revenue-cap protection - Assess pass-through items (commodity costs, taxes, network charges) and lag in recovery - Quantify the impact of demand elasticity or customer switching on actual collected revenue 5. **Assess regulatory reset risk** - Score reset risk across dimensions: political environment, regulator independence, precedent consistency, appeal mechanisms - Model downside scenarios: compressed WACC, tighter efficiency targets, RAB write-downs, or shortened asset lives - Identify asymmetric risks — penalties for underperformance vs. rewards for outperformance - Review historical variance between draft and final determinations for the regulator 6. **Benchmark and synthesize** - Compare key parameters (allowed return, gearing, beta, RAB growth) against peer-regulated entities in the same and adjacent jurisdictions - Summarize net regulatory risk position: supportive, neutral, or adverse — with directional outlook for the next reset ## Output The analysis report should contain: - **Executive summary**: One-paragraph verdict on regulatory risk profile and rate-structure stability - **Framework overview**: Regulatory model type, control period, and key statutory provisions - **RAB analysis**: Roll-forward table with opening/closing RAB, capex, depreciation, and indexation for at least two control periods - **Allowed return decomposition**: Table of WACC components with regulator's values, analyst benchmarks, and variance commentary - **Tariff and revenue risk assessment**: Revenue sensitivity to volume, indexation, and pass-through timing - **Reset risk scorecard**: Tabular scoring of political, institutional, and methodological risk factors - **Scenario analysis**: Base, downside, and stress-case projections for allowed revenue through the next regulatory period - **Key risks and mitigants**: Bullet list of top risks with identified contractual or structural protections ## Quality Checks - RAB roll-forward reconciles to the regulator's published figures within rounding tolerance - WACC decomposition uses the regulator's stated methodology — not a generic textbook CAPM unless justified - All jurisdiction-specific statutory references, index bases, and regulatory body names are accurate [VERIFY] - Scenario analysis covers at least a base case and a plausible downside; assumptions are stated, not embedded silently - Tariff analysis distinguishes between regulated and unregulated revenue streams where the entity has both - Historical determinations cited include correct decision dates and document references - No circular references between allowed return assumptions and valuation conclusions
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