stpa-step4-loss-scenarios

Trace Unsafe Control Actions through system control loops to identify causal pathways.

2|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/ucirello/sgai --skill stpa-step4-loss-scenarios-ucirello
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stpa-step4-loss-scenarios
Source: https://github.com/ucirello/sgai/tree/main/cmd/sgai/skel/.sgai/skills/stpa/stpa-step4-loss-scenarios
Command: npx skills add https://github.com/ucirello/sgai --skill stpa-step4-loss-scenarios-ucirello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify the root causes and causal pathways leading to Unsafe Control Actions (UCAs) in a system, enabling the development of effective mitigations.

Core Features & Use Cases

  • Causal Analysis: Traces UCAs back through control loops to pinpoint why they might happen.
  • Scenario Identification: Differentiates between scenarios where the UCA is issued and where it's improperly executed.
  • Recommendation Development: Guides the creation of preventative, detective, and mitigative measures.
  • Use Case: After identifying that a drone might descend too quickly (UCA), this skill helps determine if it's due to faulty sensor data (incorrect process model) or a software bug (unsafe control algorithm), and suggests fixes.

Quick Start

Use the stpa-step4-loss-scenarios skill to analyze the UCA 'Controller issues command X when system is in state Y'.

Frequently Asked Questions about stpa-step4-loss-scenarios

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

FAQPage Schema
How do I identify the root causes of unsafe control actions in a complex system?

Yes, you can trace causal pathways through system control loops to pinpoint whether a software bug or an incorrect process model caused the failure. This differentiates between scenarios where an unsafe action is issued versus improperly executed.

What is the best way to generate safety recommendations after an STPA analysis?

The best way to generate safety recommendations is to analyze the causal factors of unsafe control actions to develop preventative, detective, and mitigative measures. This guides the creation of targeted fixes for the identified system dynamics failures.

Do I need to understand control theory to perform causal analysis for system safety?

Yes, you need a detailed understanding of control theory and system dynamics to effectively perform this causal analysis. Mapping controller logic and feedback mechanisms requires familiarity with these concepts to trace loss scenarios accurately.

How do loss scenarios differentiate between unsafe commands and improper execution?

Loss scenarios differentiate these issues by tracing unsafe control actions back through the control loop to see if the controller issued the wrong command or if the actuator failed to execute it properly. This isolates the specific contributing factors.