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feature-risk-assessment

Generate structured risk assessments for single product features.

Updated May 26, 2026
Search Tags:#risk assessment#AI governance#regulatory compliance#citation verification#product feature#legal decision support#privacy impact analysis
One-click install
npx skills add https://github.com/yachela/claude-for-legal-ar --skill feature-risk-assessment-yachela
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feature-risk-assessment
Source: https://github.com/yachela/claude-for-legal-ar/tree/main/product-legal/skills/feature-risk-assessment
Command: npx skills add https://github.com/yachela/claude-for-legal-ar --skill feature-risk-assessment-yachela

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of having only a broad launch review when a single product feature needs a deeper, structured risk analysis to support attorney and leadership decision-making.

Core Features & Use Cases

  • Single-feature structured risk assessment: Breaks a risk into scenario, who is harmed, likelihood, impact, mitigations, gaps, and residual risk.
  • Regulatory landscape and precedent (when relevant): Adds regulator-specific context and any applicable prior examples without over-weighting weak or outdated information.
  • Decision-ready options and recommendation: Produces 2–4 pages with options, a recommended path, citation and research verification checks, and a next-steps decision tree.

Quick Start

Run feature-risk-assessment for the feature [describe feature] based on the launch-review flag that it needs a deeper dive on risk.

Frequently Asked Questions about feature-risk-assessment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a structured risk assessment for a single product feature?▼

Structured product feature risk assessment decomposes a flagged issue into scenario, harm, likelihood, impact, mitigations, gaps, and residual risk to produce a decision-ready analysis for leadership review.

When do I need a deep-dive regulatory compliance analysis instead of a broad launch review?▼

You need regulatory compliance deep-dives when a novel or potentially blocking issue escalates during launch review, specifically for AI, biometric, children, or health-adjacent features requiring attorney-led analysis.

Can I generate decision-ready options and recommendations for AI governance risks?▼

Yes, AI governance risk assessment generates 2-4 page decision-ready outputs containing options, a recommended path, citation verification, and a next-steps decision tree for leadership consumption.

Does product feature risk assessment include privacy impact analysis and citation verification?▼

Privacy impact analysis and citation verification are integrated using configured legal research tools to validate regulatory context and precedents without over-weighting weak or outdated information.

What is the best way to evaluate residual risk and gaps for legal decision support?▼

Legal decision support evaluates residual risk and gaps by applying scenario-specific risk decomposition with calibrated outputs from the practice CLAUDE profile, ensuring structured options for general counsel.

Are there limitations to using automated risk assessment for regulatory compliance?▼

Automated regulatory compliance assessment is limited to single-feature deep dives escalated from launch reviews and requires attorney oversight to validate citations and interpret residual risk accurately.

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