establish-metrics

Establish measurable indicators with GREEN/YELLOW/RED confidence ratings for each driver.

1|Updated Feb 6, 2026

Search Tags:#metrics #data-analysis #confidence #risk-assessment #drivers #head-framework

Ready to run

npx skills add https://github.com/jordangaston/claude-plugins --skill establish-metrics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: establish-metrics
Source: https://github.com/jordangaston/claude-plugins/tree/main/plugins/head/skills/establish-metrics
Command: npx skills add https://github.com/jordangaston/claude-plugins --skill establish-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps intelligence analysts establish measurable indicators for each driver and assign GREEN/YELLOW/RED confidence ratings, enabling data-driven assessment after identifying drivers.

Core Features & Use Cases

Proposes 2–3 measurable indicators per driver
Rates each metric with GREEN/YELLOW/RED confidence levels
Generates a per-driver metrics table and a global confidence summary

Quick Start

Identify approved drivers from Step 2 and run the HEAD metrics routine to generate 2–3 observable indicators per driver with confidence ratings.

Frequently Asked Questions about establish-metrics

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

FAQPage Schema

How do I establish measurable indicators for risk assessment drivers?▼

To establish measurable indicators for risk assessment drivers, you can generate 2–3 observable metrics per driver and rate each metric with GREEN, YELLOW, or RED confidence levels to gauge data quality and driver risk.

What is the HEAD framework for driver metrics and confidence ratings?▼

The HEAD framework for driver metrics proposes 2–3 measurable indicators per identified driver, assigns GREEN/YELLOW/RED confidence ratings to each metric, and produces a driver metrics table with an overall confidence tally.

How do I assign confidence ratings to data analysis drivers?▼

You assign confidence ratings to data analysis drivers by evaluating each measurable indicator against a structured metric system, categorizing the evidence into GREEN, YELLOW, or RED confidence levels, and summarizing the results in a global confidence tally.

When do I need to create a metrics table for intelligence analysis drivers?▼

You need to create a metrics table for intelligence analysis drivers after identifying your drivers in the initial analysis phase and when you require a structured metric system to assess driver quality and quantify risk.

Can I use this approach to quantify risk for drivers without prior data?▼

No, this approach requires previously identified drivers from an earlier analysis phase to function, as it builds a structured metric system and confidence ratings based on those established drivers rather than generating them from scratch.

What is the best way to structure driver metrics for risk assessment?▼

The best way to structure driver metrics for risk assessment is generating 2–3 measurable indicators per driver, rating each indicator with GREEN/YELLOW/RED confidence, and compiling the results into a per-driver metrics table and an overall confidence summary.