# agent-seo

> Use this tool when you need to evaluate the trustworthiness of an AI agent or assess your own agent's readiness for release. It checks five critical dimensions - schema quality, reliability, documentation, ecosystem, and maintenance - to provide a 0-100 score with actionable improvement suggestions. Ideal for developers and users seeking to ensure agent reliability and effectiveness.

Canonical page: https://skillsregistry.net/skills/web3signals-agent-seo  
JSON: https://api.skillsregistry.net/v1/skills/web3signals-agent-seo

## Description

Score any AI agent before you use it. Score your own before you release it. Checks 5 trust dimensions — schema quality, reliability, docs, ecosystem, maintenance — and returns a 0-100 grade with prioritized fixes.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/web3signals/agent-seo)
- **Repository:** <https://github.com/manavaga/agent-seo>

## 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": "web3signals-agent-seo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/web3signals-agent-seo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/web3signals-agent-seo/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