# agent-seo

> agent-seo — manavaga-agent-seo. Use this tool when you need to assess the trustworthiness and capability of AI agent endpoints, scoring them across 5 categories with a 100-point system. It solves problems related to evaluating AI agent reliability and performance, providing fix-it guidance for improvement. The tool accepts AI agent endpoints as input and outputs a scored assessment, utilizing GitHub intelligence and the MCP protocol handshake.

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

## Description

SEO for Agents — Score any AI agent endpoint on trust & capability metrics. 5 categories, 100 points, MCP protocol handshake, GitHub intelligence, fix-it guidance.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](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": "manavaga-agent-seo"
    }
  }
}
```

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