measurement-integrity

Cross-validate metrics with dual methods and completeness checks before reporting.

8|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/bordenet/superpowers-plus --skill measurement-integrity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: measurement-integrity
Source: https://github.com/bordenet/superpowers-plus/tree/main/skills/observability/measurement-integrity
Command: npx skills add https://github.com/bordenet/superpowers-plus --skill measurement-integrity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill ensures that every reported metric is cross-validated, complete, and accompanied by a confidence qualifier before it is shared.

Core Features & Use Cases

  • Cross-validate metrics using multiple methods to detect inconsistencies.
  • Enforce completeness audits before reporting percentages or counts.
  • Gate reporting behind verification steps to improve the reliability of quality metrics (e.g., coverage, accuracy, pass rate).

Quick Start

Announce the metric gate and perform a cross-validation pass before reporting any value.

Frequently Asked Questions about measurement-integrity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I cross-validate metrics before reporting data quality?

Cross-validate metrics by enforcing dual-method validation to detect inconsistencies and completeness audits before reporting any counts or percentages. This approach gates your reporting behind explicit verification steps to guarantee metric accuracy.

What is dual-method validation for metric verification?

Dual-method validation is a cross-checking technique that calculates the same metric using two independent methods to detect discrepancies. It enforces completeness checks and explicit confidence qualifiers prior to completing a metric report.

How do I add a reporting gate to ensure metric completeness?

Add a reporting gate by announcing the metric gate and performing a cross-validation pass before reporting any value. This enforces completeness audits on percentages or counts and prevents incomplete metrics from being shared.

Can I use cross-validation for coverage and pass rate metrics?

Yes, cross-validation applies to any metric generation task including coverage, accuracy, and pass rate. It enforces dual-method validation and explicit confidence qualifiers whenever reporting or comparing these metrics across time.

What is the best way to guarantee metric truth in data and analytics?

The best way to guarantee metric truth is applying dual-method validation, completeness audits, and explicit confidence qualifiers before finalizing reports. This cross-validation gate ensures every reported metric is accurate and reliable.

Why do my reported metrics show inconsistencies across time?

Reported metrics show inconsistencies when lacking dual-method validation and completeness audits prior to reporting. Applying a cross-validation gate with explicit confidence qualifiers detects discrepancies and ensures reliable metric comparison across time.