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    agent-ready-cli

    Agent Ready Cli

    by Mark Lavercombe

    Audit any website for AI agent-readability and protocol compliance using the Agent Ready CLI.

    Updated Jun 2026
    0 installs

    Free

    Included in download

    • Downloadable skill package
    • Works with Claude Code, Cursor
    • 1 permission declared
    • Instant install

    Sample input

    Run a scan on https://example.com/docs and show me why it's failing the llms.txt checks.

    Sample output

    Scan V1StGXR8_Z complete. Score: 64/100 (Fair) llms.txt: 2/10 (Missing)

    Failing Checks:

    • L1 (Missing llms.txt): No llms.txt file found at root.
    • S4 (High Latency): Resource took >2s to respond. How to fix: Host a markdown summary at /llms.txt to improve discovery.

    Screenshots

    About This Skill

    What it does

    The Agent Ready CLI skill gives your AI agent a powerful command-line interface to audit any public website for AI-readability. It scans URLs against the Vercel Agent Readability Spec, llmstxt.org standards, and various agent-protocol manifests like MCP server cards and agents.json. The tool runs ~60 automated checks to determine how well an AI agent can navigate, understand, and interact with a site's content.

    Why use this skill

    Instead of manually prompting an AI to "look at this site" and hoping for the best, this skill provide a structured, engineering-grade audit. It solves the "black box" problem of AI discovery by providing a concrete score (0-100), rating bands, and high-impact remediation steps. Unlike simple web scraping, it specifically looks for agent-only manifests and protocol files that standard scrapers miss.

    Supported tools

    • Frameworks: Supports Vercel Agent Spec, llmstxt.org, MCP (Model Context Protocol), and A2A.
    • Technical Stack: Zero-dependency wrapper for the Agent Ready REST API; requires Node.js ≥ 20.10.
    • Output: Ships with both human-readable terminal summaries and machine-readable JSON for automated piping and scripting.

    Output format

    The skill produces a detailed summary including an overall score, rating band (Excellent to Needs Improvement), sub-scores for llms.txt compliance, and a prioritized list of failing checks with specific "How to Fix" instructions.

    Use Cases

    • Audit documentation sites for llms.txt and MCP server card compliance.
    • Generate remediation plans to make websites easier for AI agents to crawl.
    • Verify if a site supports agent-to-agent (A2A) communication protocols.
    • Benchmark website readability scores against the Vercel Agent Spec.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    Allowed Hosts

    agent-ready.dev
    www.npmjs.com
    github.com
    example.com

    File Scopes

    agent-ready-cli/**
    Documentation

    Claude Code, Cursor, Codex CLI, Aider, Windsurf, and Cline.

    Frequently Asked Questions

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