Guides FMEA 2019 workflows with RPN calculation, risk ranking, and mitigation tracking for DFMEA, PFMEA, and SFMEA.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-fmea-assistant
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 skill-fmea-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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Get the raw skill files in a ZIP archive.
What is FMEA Analysis Assistant?
Openclaw Skills FMEA Analysis Assistant standardizes failure analysis for product, process, and system reliability reviews. It walks engineers through scope definition, functional analysis, failure mode identification, severity/occurrence/detection scoring, and RPN-based prioritization so teams can move from ad hoc notes to a repeatable FMEA workflow.
It is designed for spreadsheet-driven teams that need auditable outputs, clear action recommendations, and a practical way to track preventive and detection measures over time. With calculator and tracker scripts, this skill helps keep FMEA work organized, consistent with the 2019 approach, and ready for export and review.
FMEA Analysis Assistant Use Cases
- Starting a new DFMEA, PFMEA, or SFMEA study for a product, process, or subsystem
- Calculating RPN from Severity, Occurrence, and Detection inputs during design reviews
- Prioritizing high-risk failure modes and choosing corrective actions by risk level
- Creating, updating, and exporting project-level FMEA tables for cross-functional review
- Reviewing compliance with the FMEA 2019 workflow and standardized analysis format
- Tracking preventive and detection actions until risk is reduced to an acceptable level
How FMEA Analysis Assistant Works
- Define the system, subsystem, or component under review and collect the design or process inputs that establish the analysis boundary.
- Break the item into functions, then document the key parameters and performance expectations for each function.
- Identify plausible failure modes, their causes, and their downstream effects for every function in scope.
- Score Severity, Occurrence, and Detection; Severity is driven by the effect, so mitigation efforts usually focus on improving Occurrence and Detection.
- Calculate RPN and map it to a risk level so the team can rank the most urgent failure modes.
- Record prevention and detection actions, track them in the project table, then export the FMEA workbook for review and sign-off.
FMEA Analysis Assistant Setup
No extra system commands are required; install the Python dependency and run the bundled scripts.
- Install the required Excel library.
pip install openpyxl==3.1.2
- Run the calculator for a quick RPN check.
python scripts/fmea_calculator.py --action calculate --severity 8 --occurrence 5 --detection 3
- Create and manage a project tracker when you need persistent FMEA records.
python scripts/fmea_tracker.py --action create --project "Project Name"
python scripts/fmea_tracker.py --action add --project "Project Name" --item "Component A" --function "Function description" --failure "Failure mode" --severity 8 --occurrence 5 --detection 3
python scripts/fmea_tracker.py --action export --project "Project Name"
- Review
references/fmea_format.mdbefore creating spreadsheets, and expect exported artifacts underfmea_output/.
FMEA Analysis Assistant Data Schema & Taxonomy
Openclaw Skills uses a project-centric, spreadsheet-friendly schema. Each project groups multiple FMEA rows, and each row preserves the trace from scope to action so the full risk history stays auditable.
Core entities
| Entity | Key fields | Purpose |
|---|---|---|
| Project | project name, analysis type, export state | Groups all FMEA entries for one study |
| Scope | system, subsystem, component | Defines the analysis boundary |
| Function | function, parameters, performance criteria | Describes what must work |
| Failure analysis | failure mode, cause, effect | Captures how and why the function fails |
| Risk scores | severity, occurrence, detection, RPN, risk level | Quantifies risk and ranks priority |
| Actions | prevention action, detection action, status | Tracks mitigation and follow-up |
Generated artifacts
fmea_output/: current working directory output for exported FMEA workbooks and project artifacts.- Calculator output: terminal result containing the computed RPN and risk-level recommendation.
- Tracker output: project-based FMEA tables managed through create/add/list/recommend/export actions.
references/fmea_format.md: formatting reference used before creating or standardizing spreadsheets.
Metadata taxonomy
- FMEA type: DFMEA, PFMEA, SFMEA
- Workflow step: preparation, function analysis, failure mode identification, impact analysis, mitigation, export
- Risk label: low, medium, high, very high, extreme
- Action focus: prevention vs detection
- Traceability fields: component, function, failure mode, effect, severity, occurrence, detection, RPN
FMEA Analysis Assistant Advanced Features
- Supports DFMEA, PFMEA, and SFMEA in one standardized workflow
- Command-driven actions for calculate, create, add, list, recommend, and export
- Automated RPN calculation and risk-level classification from Severity, Occurrence, and Detection inputs
- Recommendation logic that prioritizes high-RPN items and helps teams focus on Occurrence and Detection improvements
- Excel-friendly project tracking under
fmea_output/for audit-ready sharing and review - Aligned with the FMEA 2019 process, including function-tree thinking and structured cross-functional sign-off
SKILL.md
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