leverage-audit

Score 12 agent autonomy dimensions on a 1–5 rubric and map totals to ZTE levels.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill leverage-audit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: leverage-audit
Source: https://github.com/CleanExpo/Pi-Dev-Ops/tree/main/skills/leverage-audit
Command: npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill leverage-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams diagnose where agent autonomy gains will deliver the highest ROI by turning qualitative design concerns into a consistent, scored “12 Leverage Points” assessment.

Core Features & Use Cases

  • Dimension scoring with explicit rubrics: Scores 12 autonomy-driving dimensions (spec quality, context precision, tool availability, feedback loops, error recovery, and more) on a 1–5 scale with concrete definitions.
  • ROI-oriented prioritization: Identifies the bottom three lowest-scoring dimensions as the highest-ROI improvement targets.
  • ZTE level determination: Converts total score into a ZTE maturity label (Manual, Assisted, Autonomous, or Zero Touch) to communicate current capability level.

Quick Start

Ask an agent to score your current autonomy pipeline against the 12 leverage dimensions, then recommend the three highest-ROI fixes based on the lowest scores.

Frequently Asked Questions about leverage-audit

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

FAQPage Schema
How do I evaluate agent autonomy to find the highest ROI improvements?▼

Agent autonomy evaluation uses a 12 leverage points rubric to score dimensions like context precision, tool availability, and error recovery on a 1–5 scale. Pinpointing the three lowest scores reveals which workflow fixes yield the highest ROI.

What is a ZTE level and how does it map to workflow maturity?▼

A ZTE level is a maturity label—Manual, Assisted, Autonomous, or Zero Touch—derived from your total autonomy score. It communicates your current agent workflow capability and standardization progress across the 12 evaluated dimensions.

How do I score system dimensions for debugging agent workflows?▼

Scoring agent workflows involves applying a rubric-driven 1–5 scale across 12 dimensions including feedback loops, session continuity, and cost efficiency. Comparing these scores highlights spec quality and trigger automation gaps causing workflow bottlenecks.

Does tooling readiness affect agent autonomy evaluation?▼

Tooling readiness is a core dimension in autonomy evaluation, scoring tool availability on a 1–5 scale. Assessing integration alongside model selection and knowledge retention determines if your pipeline can support autonomous triggers.

What is the best way to prioritize prompt and context strategy fixes?▼

Prioritizing context strategy fixes involves scoring context precision and spec quality against 10 other dimensions. Treating the bottom three lowest-scoring dimensions as high-ROI targets ensures prompt and context improvements directly increase workflow maturity.