harness-review

Classify overnight runner components against a curated inventory using a four-question rubric.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/charleshall888/cortex-command --skill harness-review-charleshall888
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: harness-review
Source: https://github.com/charleshall888/cortex-command/tree/main/.claude/skills/harness-review
Command: npx skills add https://github.com/charleshall888/cortex-command --skill harness-review-charleshall888

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, repeatable evaluation of overnight runner components against a curated inventory, generating clear verdicts to guide pruning, refinement, or experimentation of harness components.

Core Features & Use Cases

  • Applies a four-question rubric to every inventory item to classify it as load-bearing, experiment-candidate, or likely-deprecated.
  • Produces per-component verdicts and a consolidated "Candidates for Review" list for maintenance and planning.
  • Useful for upgrade cycles, refactors, and pruning passes in Claude Code harness projects.

Quick Start

Run harness-review to perform a rubric-based assessment of overnight components against the inventory.

Frequently Asked Questions about harness-review

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

FAQPage Schema
How do I audit overnight runner components in a Claude Code harness project?

To audit overnight runner components in a Claude Code harness project, run harness-review against your curated inventory to classify each item using a four-question rubric, producing per-component verdicts and a candidates-for-review list.

What is a risk-based rubric for classifying harness components?

A risk-based rubric for classifying harness components applies four structured questions to each inventory item, evaluating module docstrings to assign a label of load-bearing, experiment-candidate, or likely-deprecated based on its operational risk and utility.

How do I identify likely-deprecated modules during a harness pruning pass?

You identify likely-deprecated modules during a harness pruning pass by evaluating their inventory entries and docstring rationale against a four-question rubric, which systematically flags components no longer serving core overnight runner functions.

Can I use harness-review for a Claude Code upgrade cycle without external dependencies?

Yes, you can use harness-review for a Claude Code upgrade cycle without external dependencies. It operates independently to process your inventory components and generate verdicts guiding refinement, pruning, or experimentation decisions.

What is the best way to classify experiment-candidate components in an overnight runner inventory?

The best way to classify experiment-candidate components in an overnight runner inventory is applying a structured four-question rubric that reads module docstrings for rationale, systematically evaluating each item's potential for future experimentation versus its current load-bearing status.