test-correlation
Skill for correlating test results with analytical predictions and model validation
npx skills add a5c-ai/babysitter --skill test-correlation --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.
# Test Correlation Skill ## Purpose The Test Correlation skill provides capabilities for correlating test results with analytical predictions, enabling model validation, calibration, and uncertainty quantification for mechanical systems. ## Capabilities - Test data processing and analysis - Prediction-to-test comparison - Model calibration techniques - Uncertainty quantification - Statistical analysis and regression - Correlation report generation - Model updating recommendations - Validation criteria assessment ## Usage Guidelines ### Correlation Methodology #### Data Processing 1. **Test Data Preparation** ``` Data quality checks: - Missing data handling - Outlier detection - Noise filtering - Time synchronization - Unit verification ``` 2. **Signal Processing** | Operation | Purpose | Method | |-----------|---------|--------| | Low-pass filter | Remove noise | Butterworth | | Resampling | Match analysis | Interpolation | | Baseline correction | Remove offset | Linear/polynomial | | Windowing | FFT preparation | Hanning, Hamming | 3. **Derived Quantities** - Integrate acceleration to velocity/displacement - Differentiate displacement to velocity - Calculate strain from displaceme
- Purpose
- Capabilities
- Usage Guidelines
- Correlation Methodology
- Comparison Methods
- Model Calibration
- Validation Criteria
- Uncertainty Quantification
- Process Integration
- Input Schema
- Output Schema
- Best Practices
- Integration Points
What does the test-correlation skill do?
Skill for correlating test results with analytical predictions and model validation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill test-correlation --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.