---
name: yogsoth-ai-action-priority-matrix
description: "Compute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables."
license: "Apache-2.0"
metadata:
  decimalai-skill-id: "7bdbd6c9-0dc5-476e-9234-f2a6ba6bac43"
  decimalai-version-id: "9936513f-81b1-4660-af04-e4c67b44bce4"
  decimalai-version: "1"
  decimalai-body-sha256: "5fd3c451ffd3219e6423de58fb1e2fce76ffea269766155c8a27bb8c799ef97d"
  decimalai-name: "yogsoth-ai/action-priority-matrix"
  decimalai-format: "1"
  decimalai-invocation: "model"
  decimalai-category: "industry"
  decimalai-source: "https://app.decimal.ai/s/yogsoth-ai-action-priority-matrix@1/SKILL.md"
---
# Action Priority Matrix

Computes RPN and classifies failure modes into High/Medium/Low action priority.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Priority classification requires mechanical computation followed by judgment on borderline cases. Isolated context ensures consistent application of thresholds.

## Input

- **severity_scores**: S scores for all failure modes
- **occurrence_scores**: O scores for all failure modes
- **detection_scores**: D scores for all failure modes

## Output

- **priority_matrix**: Full table with S, O, D, RPN, and H/M/L classification
- **action_required**: H-priority items requiring mandatory mitigation
- **borderline_cases**: Items near threshold boundaries

<!-- BEGIN available-tables (generated) -->

## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

<!-- END available-tables (generated) -->