A professional quality engineering tool for identifying potential design failures and calculating Risk Priority Numbers in product development.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dfmea
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dfmea using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is DFMEA - Design Failure Mode and Effects Analysis?
The DFMEA (Design Failure Mode and Effects Analysis) skill is a specialized tool designed for quality engineers and product designers to systematically evaluate risk. By integrating this capability through Openclaw Skills, developers and hardware teams can ensure their product designs are robust against potential failures before they reach manufacturing. It specifically addresses the complexities of modern product design by providing structured frameworks for analyzing how a component might fail, the resulting impact on the system, and the effectiveness of current controls.
This skill is particularly powerful for those working in the smart hardware and IoT sectors, where connectivity and power management introduce unique failure vectors. It streamlines the risk assessment process by automating calculations and providing industry-standard templates, making it an essential addition to any engineering Openclaw Skills library.
DFMEA - Design Failure Mode and Effects Analysis Use Cases
- Conducting formal design reviews for new smart home hardware.
- Evaluating failure modes in IoT sensor networks and wireless connectivity modules.
- Performing risk assessments for battery management systems (BMS).
- Automating the calculation of Risk Priority Numbers (RPN) during engineering sprints.
- Generating standardized quality documentation for manufacturing handoffs.
How DFMEA - Design Failure Mode and Effects Analysis Works
- The agent identifies a risk assessment request or mentions of failure modes in the design context.
- A standardized DFMEA worksheet is initialized based on the AIAG/VDA 2019 standard.
- The user provides potential failure modes, causes, and existing controls.
- The skill assigns or accepts ratings for Severity (S), Occurrence (O), and Detection (D).
- It automatically calculates the Risk Priority Number ($RPN = S \times O \times D$) to rank risks.
- Mitigation strategies are suggested based on high-risk failure modes identified.
- A final report is generated in the preferred format for engineering documentation.
DFMEA - Design Failure Mode and Effects Analysis Setup
To integrate this quality engineering capability into your environment, use the following commands:
# Install the DFMEA skill via Openclaw Skills manager
openclaw install dfmea-quality-tool
# Configure your default reporting format
openclaw config dfmea --default-format markdown
DFMEA - Design Failure Mode and Effects Analysis Data Schema & Taxonomy
The skill manages risk data through a structured taxonomy to ensure compatibility with professional quality management systems:
| Field | Description | Type |
|---|---|---|
| Component | The specific part or subsystem being analyzed | String |
| Failure Mode | The way in which the design could fail | String |
| RPN | Risk Priority Number ($S \times O \times D$) | Integer (1-1000) |
| Rating Scales | Standardized 1-10 scales for S, O, and D | Integer |
| Metadata | Includes timestamps, versioning, and hardware category | Object |
DFMEA - Design Failure Mode and Effects Analysis Advanced Features
- Smart Hardware Templates: Pre-configured failure mode libraries for IoT, battery systems, and wireless protocols.
- Automated RPN Scoring: Real-time calculation and risk leveling (High/Medium/Low) based on custom thresholds.
- Multi-Format Export: Seamlessly generate JSON for database integration or Markdown for GitHub/Wiki documentation.
- Standard Compliance: Built-in support for the latest AIAG/VDA 2019 standards used in automotive and high-tech manufacturing.
SKILL.md
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