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.