# ceorater

> Use this tool when you need to evaluate CEO performance for S&P 500 companies, providing institutional-grade analytics to inform investment decisions or corporate governance strategies. It solves problems related to assessing CEO effectiveness and identifying trends in leadership performance. The tool takes company data as input and outputs detailed analytics and insights on CEO performance.

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

## Description

Get institutional-grade CEO performance analytics for S&P 500.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** data-analytics
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ceorater-skills-ceorater)

## 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": "ceorater-skills-ceorater"
    }
  }
}
```

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