callable-audit

Audit business surfaces for AI agent reachability and transaction capability.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill callable-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: callable-audit
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/callable-audit
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill callable-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audit whether a business can be reached, evaluated, and transacted with by an AI agent end-to-end to determine agent-readiness and surface-level risk.

Core Features & Use Cases

  • Discover agent-reachable surfaces (MCP server, API docs, catalog) and surface availability.
  • Score surfaces and produce a verdict (Agent-Callable, Wrappable, or Chat-Only Dead End) with per-surface metrics.
  • Provide actionable recommendations and remediation steps for achieving higher agent-ability in real-world scenarios.

Quick Start

Provide a business name or URL to initiate a callable audit and obtain a structured verdict.

Frequently Asked Questions about callable-audit

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

FAQPage Schema
How do I audit if my business is reachable and transactable by an AI agent?

To audit if a business is AI agent-callable, you provide a business name or URL to initiate a scan. The audit assesses end-to-end agent-readiness by applying a 5-step workflow: discover, compare, decide, pay, and confirm across available surfaces.

What makes a business surface agent-callable versus a chat-only dead end?

A surface is agent-callable if it supports end-to-end AI transactions, while a chat-only dead end lacks transactional capability. The audit scores surfaces like APIs and MCP servers against agent compatibility and documents authentication options to determine this verdict.

How does the agent-readiness evaluation handle multiple surfaces like websites and MCP servers?

Agent-readiness evaluation handles multiple surfaces by discovering and scoring each individually. It checks website, API, MCP server, and catalog availability, returning per-surface metrics plus an overall verdict on whether the business is fully agent-callable or merely wrappable.

Can I get actionable recommendations to improve my API authentication for AI agent compatibility?

Yes, the audit provides actionable recommendations and remediation steps for achieving higher agent-ability. It specifically documents authentication options across your discovered surfaces to identify and resolve agent compatibility blockers.

What steps are required to discover and evaluate an agent-reachable commerce surface?

Discovering and evaluating an agent-reachable commerce surface requires a 5-step workflow: discover surfaces, compare options, decide on a transaction, pay, and confirm. The audit maps this workflow to your surfaces and returns per-surface scores.

When should I not use an automated agent-callable audit for my business?

You should not use an automated agent-callable audit if your business operates through a single surface without API, MCP server, or catalog endpoints. The audit requires multiple surfaces to compare and generate a meaningful end-to-end transaction verdict.