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surface

Audit and score codebases for AI agent readiness across 11 dimensions.

1|Updated Apr 17, 2026
Search Tags:#scaffold#code audit#CLI design#agent readiness#API surface
One-click install
npx skills add https://github.com/commoninstruments/agentsurface --skill surface-commoninstruments
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: surface
Source: https://github.com/commoninstruments/agentsurface/tree/main/skills/surface
Command: npx skills add https://github.com/commoninstruments/agentsurface --skill surface-commoninstruments

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of making software easily accessible, usable, and actionable by AI agents, ensuring seamless integration and automation.

Core Features & Use Cases

  • Audit & Score Codebases: Assess codebases across 11 dimensions for agent readiness and identify improvement opportunities.
  • Scaffold Agent Infrastructure: Generate or extend agents, tools, workflows, model routing, retrieval, memory, and sandbox capabilities.
  • Enhance API, CLI, & Docs: Improve documentation, CLI design, and API surface for better agent interaction.
  • Use Case: For a developer looking to create an agent system, the Surface skill can audit the existing codebase, suggest improvements, and even scaffold the required infrastructure.

Quick Start

Use the surface skill to audit your codebase for agent readiness by running the command 'surface audit'.

Frequently Asked Questions about surface

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

FAQPage Schema
How do I audit my codebase for AI agent readiness?▼

To audit codebase agent readiness, run the 'surface audit' command. The tool assesses your code across 11 dimensions, including API, CLI, documentation, and infrastructure, to score readiness and identify integration improvement opportunities.

What does agent-ready software design involve?▼

Agent-ready software design involves making code accessible to AI agents by analyzing the API surface, CLI design, and documentation. This ensures seamless integration, allowing agents to effectively use, automate, and interact with your software systems.

Can I scaffold agent infrastructure for an existing codebase?▼

Yes, you can scaffold agent infrastructure for an existing codebase. The tool generates or extends agents, tools, workflows, model routing, retrieval, memory, and sandbox capabilities to enhance your project's automation readiness.

Does the audit require specific dependencies or environments?▼

No specific dependencies are required. The tool uses included scripts and reference materials to perform project-specific analysis, auditing and scoring codebases across multiple dimensions without needing external environment setup.

What is the best way to improve API surface for AI integration?▼

The best way to improve API surface for AI integration is using a code audit tool. It analyzes your codebase across multiple dimensions, scoring readiness and scaffolding necessary infrastructure to optimize agent interaction.

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