
Agent Ready Cli
Audit any website for AI agent-readability and protocol compliance using the Agent Ready CLI.
- 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.
Free
Included in download
- Downloadable skill package
- Works with Claude Code, Cursor
- 1 permission declared
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.
Audit any website for AI agent-readability and protocol compliance using the Agent Ready CLI.
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.
Known Limitations
- Requires Node.js 20.10 or higher.
- Requires a Pro API key for scanning.
- Only audits public URLs: cannot reach localhost or private networks.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agent-ready-cli -o /tmp/agent-ready-cli.zip && unzip -o /tmp/agent-ready-cli.zip -d ~/.claude/skills && rm /tmp/agent-ready-cli.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Passed automated security review
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Claude Code, Cursor, Codex CLI, Aider, Windsurf, and Cline.
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