01046b01e4
Umfangreiche Erweiterung der Skill-Bibliothek: Neue Skills für Humanisierung (Englisch/PT-BR), Design-Validierung, AI-SEO und Coolify-Deployment inkl. Regelwerke, Presets, Pattern-Referenzen, Testfälle und Automatisierungsskripte. Zusätzliche Skills für Revenue-Centric Design, Pier Cloud, OKF, Lebenslauf- und LinkedIn-Optimierung sowie zahlreiche Referenzdateien, Checklisten und YAML/JSON/Markdown-Templates. Einführung einer vollständigen OpenWiki-Dokumentation mit Architektur-, Domain- und Workflow-Beschreibungen, zentralem Index und automatisierten Updates. Modularer Aufbau, restriktive Lizenzen und umfassende Qualitäts- und Evaluationsmechanismen für alle neuen Inhalte.
2.6 KiB
2.6 KiB
name, description
| name | description |
|---|---|
| agent-ready-scan-site | Sub-skill de agent-ready-cloudflare: Skill: Scan Site for Agent Readiness |
Skill: Scan Site for Agent Readiness
What This Skill Does
Scans any website URL and checks whether it implements the standards and protocols that make it accessible to AI agents. Checks 18 standards across 5 categories: discoverability, content accessibility, bot access control, API/auth/MCP discovery, and commerce. Returns a readiness level (0-5), the status of all 18 checks, and fix instructions for any failing checks.
When to Use It
- Checking whether a site supports agent protocols (MCP, robots.txt, Link headers, etc.)
- Debugging why a site is missing specific agent-readiness checks
- Getting actionable fix instructions to improve a site's agent readiness
- Comparing agent readiness across multiple sites
How to Call It
Send a POST request to the scan API:
POST https://isitagentready.com/api/scan
Content-Type: application/json
{"url": "https://example.com", "format": "agent"}
Parameters
url(required): The URL to scan. Must be a valid HTTP or HTTPS URL.format(optional): Set to"agent"for a markdown response with fix instructions, or"json"(default) for structured data.
Using the MCP Server
Alternatively, connect to the MCP server at:
https://isitagentready.com/mcp
Call the scan_site tool with a url parameter.
How to Interpret Results
JSON Format
The response includes:
level: Integer 0-5 indicating overall readinesslevelName: Human-readable level name (e.g., "Agent-Readable")checks: Object with 5 categories, each containing individual check resultsnextLevel: What's needed to reach the next level- Each check has
status("pass", "fail", or "unableToCheck") and amessage
Agent Format
Returns a markdown document listing:
- The site's current score (e.g., "3/5 Agent-Readable")
- All failing checks with descriptions and fix instructions
- If all checks pass, a confirmation message
Level Scale
| Level | Name | Key Requirements |
|---|---|---|
| 0 | Not Ready | Fewer than 2 of: robots.txt, sitemap, Link headers |
| 1 | Basic Web Presence | 2 of 3: robots.txt, sitemap, Link headers |
| 2 | Bot-Aware | Level 1 + both: AI bot rules in robots.txt, Content Signals |
| 3 | Agent-Readable | Level 2 + markdown content negotiation |
| 4 | Agent-Integrated | Level 3 + 1 of 4: MCP Server Card, agent skills, API catalog, WebMCP |
| 5 | Agent-Native | Level 4 + 2 of 4: Web Bot Auth, all integrations, commerce (UCP/x402), auth metadata |