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harness-shadow

Execute shadow run protocols comparing Harness and baseline Claude review verdicts.

3|1|Updated May 1, 2026
Search Tags:#harness#automated assessment#shadow run#review comparison#ROI validation
One-click install
npx skills add https://github.com/bigbulgogiburger/claude_jira_harness --skill harness-shadow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: harness-shadow
Source: https://github.com/bigbulgogiburger/claude_jira_harness/tree/main/skills/harness-shadow
Command: npx skills add https://github.com/bigbulgogiburger/claude_jira_harness --skill harness-shadow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables empirical measurement of the added value that Harness provides over baseline Claude reviews by executing shadow protocols and comparing outcomes, supporting ROI validation.

Core Features & Use Cases

  • Shadow Run Protocol: Emulates a harness review independently to gather baseline verdicts.
  • Comparison Analysis: Compares baseline and harness verdicts to identify lift, misses, and overlaps.
  • Use Case: Assess whether deploying Harness improves review coverage or accuracy, informing investment decisions.

Quick Start

To begin, run /harness-shadow with the issue key, then proceed to execute the full harness workflow and compare results with /harness-shadow compare.

Frequently Asked Questions about harness-shadow

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

FAQPage Schema
How do I measure the ROI of automated code review workflows?▼

A shadow run evaluates review performance by independently executing a baseline assessment and comparing its verdicts against enhanced workflow outcomes, revealing accuracy lift and coverage misses to validate investment decisions.

What is a shadow run protocol for AI-assisted code reviews?▼

A shadow run protocol evaluates AI-assisted code reviews by independently emulating baseline verdicts, then comparing them with harness workflow outcomes to quantify performance advantages like improved coverage or accuracy.

How do I compare baseline reviews against harness workflow outcomes?▼

Compare baseline reviews against harness outcomes by running the shadow protocol with an issue key, executing the full harness workflow, and using comparison analysis to identify overlaps, misses, and performance lift.

Does the shadow run protocol require specific dependencies or environments?▼

The shadow run protocol requires no external dependencies, but it enforces strict environment and process controls to prevent prompt injection, malicious code execution, and data leakage during review comparison.

What security limitations apply when validating review performance?▼

When validating review performance, security limitations include strict environment and process controls designed to avoid prompt injection, malicious code execution, and data leakage during the shadow run assessment.

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