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capability-harness-engineer

Design and audit native-first capability harnesses for agent runtimes.

Updated Jun 1, 2026
Search Tags:#architecture#routing#validation#agent#governance#harness
One-click install
npx skills add https://github.com/aurora-atoms/lattice --skill capability-harness-engineer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capability-harness-engineer
Source: https://github.com/aurora-atoms/lattice/tree/main/skills/capability-harness-engineer
Command: npx skills add https://github.com/aurora-atoms/lattice --skill capability-harness-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the complexity of managing agent-based repository interactions by providing a structured framework for capability discovery, routing, and validation, preventing the need for brittle, hard-coded orchestration.

Core Features & Use Cases

  • Capability Mapping: Defines clear boundaries between native runtime behaviors and custom repository governance.
  • Routing Evaluation: Provides an oracle-based approach to test and regress how agents select tools and skills.
  • Use Case: Use this to audit a new GitHub Copilot or VS Code agent setup to ensure it correctly selects the smallest sufficient capability for a task without overloading the context window.

Quick Start

Use the capability-harness-engineer skill to audit the current repository routing policy and generate a regression report for the active agent runtime.

Frequently Asked Questions about capability-harness-engineer

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

FAQPage Schema
How do I validate agent runtime routing for repository governance?▼

Capability mapping defines clear boundaries between native runtime behaviors and custom repository governance, providing a structured framework for routing and validation that prevents brittle, hard-coded orchestration.

How do I audit a GitHub Copilot agent setup for context window overload?▼

Routing evaluation provides an oracle-based approach to test and regress how agents select tools and skills, ensuring the active runtime correctly selects the smallest sufficient capability for a given task.

Does capability harness engineering require a specific Python environment?▼

Capability harness engineering requires a Python environment to execute its scripts, along with adherence to native-first decision orders and deterministic routing evaluation to ensure quality-adjusted token ROI.

What is the best way to optimize agent discovery and progressive-disclosure workflows?▼

The best way to optimize agent discovery is by architecting native-first capability harnesses that apply deterministic routing evaluation, ensuring agents progressively disclose context only when required for the task.

When should I avoid hard-coded orchestration for agent-based repository interactions?▼

You should avoid hard-coded orchestration when managing complex agent-based repository interactions, replacing it with a structured framework for capability discovery and validation to prevent brittleness.

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