# ActableSite Readiness Audit

> ActableSite Readiness Audit — actablesite-readiness. Use this tool when you need to assess a public website's compatibility with AI systems, identifying gaps in public identity, metadata, and structured data. It solves problems related to AI-readiness, providing a read-only audit of a website's discoverability and data organization. The tool takes a website as input and outputs a repair report with priced remediation guidance, making it ideal for evaluating and improving website AI-readiness.

Canonical page: https://skillsregistry.net/skills/actablesite-readiness  
JSON: https://api.skillsregistry.net/v1/skills/actablesite-readiness

## Description

ActableSite Readiness gives AI agents read-only tools to audit a public website — checking public identity, offer evidence, action paths, discovery files, metadata, and structured data — to evaluate AI-readiness. It requires no authentication and surfaces an explicit, priced ($19 one-time) repair-report offer for deeper remediation guidance.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/actablesite-readiness)
- **Repository:** <https://github.com/unitedideas/actablesite-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "actablesite-readiness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/actablesite-readiness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/actablesite-readiness/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
