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measurelisted

Quantify values with uncertainty bounds. Use when estimating metrics, calculating risk scores, assessing magnitude, or measuring any quantifiable property.
synaptiai/agent-capability-standard · ★ 4 · AI & Automation · score 74
Install: claude install-skill synaptiai/agent-capability-standard
## Intent Quantify a specific metric for a target, providing a numerical value with explicit uncertainty bounds. This capability consolidates all estimation tasks (risk, impact, effort, etc.) into a single parameterized operation. **Success criteria:** - Numerical value provided for requested metric - Uncertainty bounds explicitly stated - Measurement method documented - Units clearly specified **Compatible schemas:** - `schemas/output_schema.yaml` ## Inputs | Parameter | Required | Type | Description | |-----------|----------|------|-------------| | `target` | Yes | any | What to measure (system, code, entity, process) | | `metric` | Yes | string | The metric to quantify (risk, complexity, effort, size, etc.) | | `unit` | No | string | Unit of measurement (optional, inferred if not provided) | | `method` | No | string | Measurement approach (heuristic, statistical, model-based) | ## Procedure 1) **Define the metric**: Clarify exactly what is being measured - Establish clear definition of the metric - Identify appropriate unit of measurement - Determine measurement methodology 2) **Gather measurement inputs**: Collect data needed for measurement - Read relevant files, logs, or data sources - Identify quantifiable indicators - Note data quality and completeness 3) **Calculate measurement**: Apply measurement method to inputs - Use appropriate calculation for the metric type - For risk: probability * impact assessment - For complexity: cyclom