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Risk Tiering

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Evidence-driven governance risk tiering.

Legal & Compliance#models#compliance#governance#evidence#risk#controls#tiering
Authorgtylee
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables governance teams to assign a consistent risk tier to ML models by scoring them across key axes (financial impact, reliance, usage, complexity, and mitigation strength) and linking the results to required controls.

Core Features & Use Cases

  • Axis-based risk scoring: compute scores per axis and a total tier using a rubric.
  • Control mapping: translate tier to mandated governance controls with evidence-backed justification.
  • Evidence-driven decision support: produce a structured artifact suitable for audits and reviews.
  • Use Case: A model with moderate financial impact and high reliance is assigned Tier 2 and required controls; integrated with other skills for remediation.

Quick Start

Run risk_tiering on input IR and rubric data, then review the produced findings and control mapping.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Risk Tiering
Download link: https://github.com/gtylee/CodexGAS/archive/main.zip#risk-tiering

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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