Agent Skillsmohitagw15856/pm-claude-skills › regulatory-impact-analysis

regulatory-impact-analysis

GitHub

用于生成结构化的监管影响分析(RIA),评估拟议规则的成本、收益及替代方案。涵盖问题陈述、选项对比、分配效应及推荐建议,强调基于基线进行诚实的不确定性分析,作为正式申报的严谨初稿。

exports/openclaw/regulatory-impact-analysis/SKILL.md mohitagw15856/pm-claude-skills

Trigger Scenarios

评估法规的影响 对政策进行成本效益分析 证明规则制定的合理性 比较不同的监管选项

Install

npx skills add mohitagw15856/pm-claude-skills --skill regulatory-impact-analysis -g -y
More Options

Non-standard path

npx skills add https://github.com/mohitagw15856/pm-claude-skills/tree/main/exports/openclaw/regulatory-impact-analysis -g -y

Use without installing

npx skills use mohitagw15856/pm-claude-skills@regulatory-impact-analysis

指定 Agent (Claude Code)

npx skills add mohitagw15856/pm-claude-skills --skill regulatory-impact-analysis -a claude-code -g -y

安装 repo 全部 skill

npx skills add mohitagw15856/pm-claude-skills --all -g -y

预览 repo 内 skill

npx skills add mohitagw15856/pm-claude-skills --list

SKILL.md

Frontmatter
{
    "name": "regulatory-impact-analysis",
    "homepage": "https:\/\/mohitagw15856.github.io\/pm-claude-skills\/skill\/regulatory-impact-analysis.html",
    "metadata": {
        "openclaw": {
            "emoji": "🏛"
        }
    },
    "description": "Produce a regulatory impact analysis (RIA) weighing the costs, benefits, and alternatives of a proposed rule. Use when asked to assess a regulation's impact, do a cost-benefit analysis of a policy, justify a rulemaking, or compare regulatory options. Produces a structured RIA: the problem and rationale, options including the baseline, costs vs. benefits, distributional effects, and a reasoned recommendation."
}

Regulatory Impact Analysis Skill

Before a rule is made, good practice (and often law) requires showing it's justified: what problem it solves, what it costs, what it delivers, and whether a lighter option would do better. This skill produces a structured RIA — honest about uncertainty, comparing real alternatives against the do-nothing baseline.

Educational analytical aid. A formal RIA must follow the jurisdiction's guidance (e.g. US OMB Circular A-4, UK Better Regulation Framework) and use validated data — treat this as a rigorous first draft, not an official filing.

Required Inputs

Ask for these only if they aren't already provided:

  • The proposed rule & problem — what's proposed and the market failure / risk / harm it addresses.
  • Options — the realistic alternatives (including status quo / non-regulatory approaches), or ask the skill to develop them.
  • Impacts & data — expected costs (compliance, admin, indirect) and benefits (safety, health, efficiency), who bears them, any figures available.
  • Timeframe & discounting — the horizon and any required discount rate.

Output Format

Regulatory Impact Analysis: [rule]

1. Problem statement & rationale — the specific problem (market failure, externality, risk) and why intervention is needed now. If there's no clear problem, say so.

2. Objectives — what success looks like, in measurable terms.

3. Options considered — including the baseline (do nothing) and non-regulatory alternatives. Describe each.

4. Costs & benefits by option — for each option, the expected costs and benefits (quantified where possible; qualitative where not), over the timeframe. A comparison table:

Option Key costs Key benefits Net assessment

State assumptions, data sources, and uncertainty honestly (ranges, sensitivity).

5. Distributional effects — who gains and who bears the costs (small business, regions, groups); any equity concerns.

6. Recommendation — the preferred option and why it's proportionate — the best net benefit for the burden imposed.

7. Implementation & review — enforcement, compliance burden, and how/when the rule's effect will be evaluated (sunset/review clause).

Quality Checks

  • The problem/market-failure is clearly established before any option is recommended
  • Options include the do-nothing baseline and at least one non-regulatory or lighter alternative
  • Costs and benefits are compared per option, quantified where data allows, with sources
  • Uncertainty is stated honestly (ranges/sensitivity), not hidden behind point estimates
  • Distributional effects and a proportionality-based recommendation are included
  • A review/evaluation mechanism is specified

Anti-Patterns

  • Do not assume regulation is the answer — establish the problem and test the baseline first
  • Do not present only the preferred option — compare real alternatives
  • Do not fabricate precise numbers — use ranges and label assumptions where data is thin
  • Do not ignore who bears the cost — distributional/small-business impact matters
  • Do not omit proportionality — the benefit must justify the burden imposed

Based On

Regulatory impact analysis practice (OMB Circular A-4 / Better Regulation): problem-first, options vs. baseline, cost-benefit, proportionality.

Version History

  • 54fad50 Current 2026-07-19 12:30

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Metadata

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Version
e4def4c
Hash
33001857
Indexed
2026-07-19 12:30

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