dfmea

Analyze failure modes across perception, sensing, planning, and control domains.

1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/iamumairs/systems-engineer-skills --skill dfmea
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dfmea
Source: https://github.com/iamumairs/systems-engineer-skills/tree/main/dfmea
Command: npx skills add https://github.com/iamumairs/systems-engineer-skills --skill dfmea

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

DFMEA for autonomous systems identifies and analyzes potential failure modes, their effects, and mitigations to reduce risk in perception, sensing, and control pipelines.

Core Features & Use Cases

  • Pre-analysis configuration (scope, depth, output formats)
  • Systematic guideword application and multi-level analysis
  • Outputs: JSON, Excel, and an Interactive DFMEA Explorer
  • Use Cases: safety reviews for autonomous vehicles, drones, industrial robots, and perception stacks

Quick Start

Configure the DFMEA project by setting scope and depth, select outputs, and run the analysis against a representative perception/planning stack to generate results.

Frequently Asked Questions about dfmea

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

FAQPage Schema
How do I perform DFMEA for autonomous system perception and control pipelines?

You can configure the analysis scope and depth, then run it against a representative perception or planning stack to generate failure mode results in JSON, Excel, or an interactive explorer.

What is the best way to document hazard analysis for autonomous vehicle safety reviews?

Hazard analysis for autonomous vehicles can be documented by running a systematic DFMEA that outputs structured JSON and Excel files, providing traceable failure mode effects and mitigations for safety certification tasks.

Can I export DFMEA results to Excel for safety engineering certification tasks?

Excel exports provide structured tabular data of identified failure modes, their effects, and applied mitigations across the analyzed perception and control domains.

Does this DFMEA approach work for industrial robots and drone perception stacks?

Yes, DFMEA for autonomous systems is designed for safety reviews across autonomous vehicles, drones, industrial robots, and perception stacks, analyzing failure modes in their sensing and control pipelines.

How do I configure the scope and depth of a hazard analysis for safety-critical systems?

This configuration determines how deeply the analysis applies guidewords across the perception, sensing, planning, and control domains.

What formats are available for interactive safety reviews of autonomous systems?

Interactive safety reviews are supported through an Interactive DFMEA Explorer, with additional structured outputs available in JSON and Excel formats to document the analyzed failure modes and mitigations.