reliability-analysis
Component and system reliability prediction and analysis skill with MTBF/MTTF calculations, failure rate databases, FMEA/FMECA support, fault tree analysis, and accelerated life testing data analysis.
Profile →npx skills add a5c-ai/babysitter --skill reliability-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Reliability Analysis Skill Component and system reliability prediction and analysis for electronic hardware. ## Purpose This skill provides comprehensive capabilities for predicting and analyzing the reliability of electronic components and systems. It supports industry-standard reliability methodologies, failure rate calculations, and life testing data analysis. ## Capabilities ### MTBF/MTTF Calculations - Mean Time Between Failures (MTBF) for repairable systems - Mean Time To Failure (MTTF) for non-repairable components - Series and parallel system reliability modeling - Redundancy calculations (active, standby, k-out-of-n) - Mission reliability vs operational availability ### Failure Rate Databases - MIL-HDBK-217F failure rate predictions - Telcordia SR-332 methodology - FIDES reliability methodology - IEC 62380 electronic component reliability - Custom component database management ### Derating Analysis - Component stress ratio calculations - Temperature derating curves - Voltage and power derating - Derating guideline compliance (NAVSEA, JPL, ESA) - Stress analysis documentation ### FMEA/FMECA Support - Failure Mode and Effects Analysis facilitation - Criticality analysis (C
- Purpose
- Capabilities
- MTBF/MTTF Calculations
- Failure Rate Databases
- Derating Analysis
- FMEA/FMECA Support
- Reliability Block Diagram Analysis
- Fault Tree Analysis (FTA)
- Accelerated Life Testing Data Analysis
- Weibull Distribution Fitting
- Thermal Derating Curves
- Prerequisites
- Installation
- Optional Dependencies
pip install numpy scipy pandas matplotlib reliability weibull For advanced reliability modeling pip install surpyval lifelines For report generation pip install jinja2 openpyxl
What does the reliability-analysis skill do?
Component and system reliability prediction and analysis skill with MTBF/MTTF calculations, failure rate databases, FMEA/FMECA support, fault tree analysis, and accelerated life testing data analysis.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill reliability-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.