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Metric Calculator

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metric-calculator

Metric Calculator is an Agent Skill for documents published in the foryourhealth111-pixel/Vibe-Skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Compute well-defined metrics from existing formulas, datasets, or test outputs. Use as an explicit/manual helper when the metric definition is already known, not for choosing the overall analysis owner or dashboard strategy.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/foryourhealth111-pixel/Vibe-Skills/blob/HEAD/bundled/skills/metric-calculator/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/metric-calculator, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Metric Calculator

Positioning

Treat this skill as an explicit/manual helper for narrow metric-computation work.

When to Use

Use this skill when:

  • Calculating a named business, statistical, or QA metric from available data
  • Converting raw counts into rates, ratios, deltas, or scorecards
  • Verifying that a metric formula is implemented consistently across outputs

Not For / Boundaries

  • Model evaluation strategy selection: use evaluating-machine-learning-models
  • Full regression modeling ownership: use scikit-learn; causal analysis ownership: use performing-causal-analysis
  • Chart design or presentation decisions: use creating-data-visualizations

Typical Outputs

  • Metric definitions and formulas
  • Reproducible calculation steps
  • Sanity checks for units, denominators, and aggregation scope

Related Skills

  • evaluating-machine-learning-models for ML benchmark metrics
  • creating-data-visualizations after the numbers are finalized