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external-harness-sweep

Compares external AI harness repositories with Forge to create adoption matrices.

Updated Jun 3, 2026
Search Tags:#code analysis#ai integration#repository comparison#adoption matrix#harness sweep
One-click install
npx skills add https://github.com/moongci38-oss/forge-plugins --skill external-harness-sweep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: external-harness-sweep
Source: https://github.com/moongci38-oss/forge-plugins/tree/main/forge-core/skills/external-harness-sweep
Command: npx skills add https://github.com/moongci38-oss/forge-plugins --skill external-harness-sweep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, python, pypdf2, pdfplumber, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The skill resolves the complexity and inefficiency associated with manually comparing and integrating external AI harness repositories into Forge systems, thereby providing a systematic way to evaluate compatibility and adoption potential.

Core Features & Use Cases

  • Adoption Matrix Generation: Automatically produces detailed adoption matrices comparing features of external AI harnesses with those in Forge.
  • Full 1:1 Source Sweep: Performs a thorough scan and comparison of external harness repos to Forge, identifying gaps, equivalences, and superiority of each.
  • Five-Phase Workflow: Manages the sweep through defined phases - Scout, Inventory, Compare, Refute, Synthesize, for accurate analysis.
  • Output Reporting: Generates a variety of outputs, including final adoption matrix JSON, a detailed analysis report, and an application plan.

Quick Start

Trigger the skill by initiating the 'external harness sweep' command and provide the target external repository URL. Optional arguments can be given to specify target name and seed path for additional analysis.

Frequently Asked Questions about external-harness-sweep

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

FAQPage Schema
How do I compare an external AI harness repository to Forge?▼

To compare an external AI harness repository to Forge, you run an automated harness sweep that performs a 1:1 source comparison. It identifies gaps, equivalences, and superior features to generate an adoption matrix.

What is an adoption matrix for AI integration?▼

An adoption matrix for AI integration is a structured report detailing how features in an external harness repository map to Forge. It evaluates compatibility and adoption potential to address ROI concerns for medium-to-large teams.

How do I generate an adoption matrix from a GitHub repository?▼

You generate an adoption matrix by triggering the external harness sweep command with the target repository URL. The five-phase workflow of Scout, Inventory, Compare, Refute, and Synthesize handles detection, enumeration, and matrix synthesis automatically.

Does the harness sweep work for medium-to-large team environments?▼

Yes, the harness sweep is specifically tailored to a medium-to-large team environment with ROI concerns. It resolves the inefficiency of manually comparing and integrating external AI harness repositories into Forge systems.

What dependencies do I need to run an external harness sweep?▼

You need git, python, pypdf2, and pdfplumber installed to run an external harness sweep. These dependencies support the automated source comparison and reference processing required to synthesize the final adoption matrix.

What outputs do I get from a repository comparison and source sweep?▼

A repository comparison and source sweep generates a final adoption matrix JSON, a detailed analysis report, and an application plan. These outputs provide structured data and actionable steps for integrating external AI harnesses.

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