A high-fidelity data skill providing institutional-grade CEO performance analytics and compensation metrics for S&P 500 companies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ceorater
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ceorater using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is CEORater?
The CEORater skill empowers your AI agent with deep insights into executive performance across the S&P 500 and major U.S. public companies. It provides proprietary metrics such as the CEORaterScore, AlphaScore, and CompScore, allowing for objective evaluations of CEO effectiveness relative to market benchmarks and peer groups. By integrating this into Openclaw Skills, developers and analysts can automate the retrieval of Total Stock Return (TSR), tenure-adjusted revenue growth, and executive compensation data directly from proxy filings.
This skill is essential for anyone building tools for investment research, corporate governance, or competitive analysis. It bridges the gap between raw financial filings and actionable executive intelligence, updated daily to reflect the latest market movements and corporate disclosures. Whether you are performing a single ticker lookup or a sector-wide search, the skill delivers standardized data ready for financial modeling and due diligence.
CEORater Use Cases
- Identifying top-performing CEOs based on tenure-adjusted Revenue CAGR and AlphaScore.
- Benchmarking executive compensation efficiency against sector peers.
- Conducting due diligence for investment research by analyzing TSR relative to the S&P 500.
- Tracking leadership changes and performance trends across 500+ major U.S. public companies.
- Comparing CEO effectiveness during specific tenures to justify or challenge compensation packages.
How CEORater Works
- The skill authenticates with the CEORater API using a secure environment variable provided during setup.
- Users can query specific companies by ticker or search for groups of CEOs by sector, industry, or company name.
- The skill retrieves standardized JSON data including proprietary performance scores and raw financial metrics from the CEORater database.
- Performance metrics are calculated relative to market benchmarks like the SPY (S&P 500 ETF) to provide accurate tenure-based context.
- The agent synthesizes this data to provide comprehensive reports on CEO impact, revenue growth, and compensation efficiency.
CEORater Setup
To use CEORater with Openclaw Skills, you must first obtain an API key from the CEORater website. Once you have your key, set the following environment variable:
export CEORATER_API_KEY=zpka_your_key_here
Individual research access is available via subscription, while enterprise users can contact the provider for AI/ML training and product integration rights. You can verify your connection by calling the metadata endpoint to retrieve the current record count and last refresh timestamp.
CEORater Data Schema & Taxonomy
The skill returns structured data containing both descriptive and quantitative fields. All numeric values are optimized for calculations when using the raw format.
| Field | Type | Description |
|---|---|---|
ceoraterScore |
Number | Composite CEO effectiveness rating (0-100) |
alphaScore |
Number | Performance vs. market benchmark (0-100) |
compScore |
String | Compensation efficiency grade (A-F) |
compensationMM |
Number | Total compensation in millions from latest proxy |
tsrVsSpyRatio |
Number | Performance relative to S&P 500 (SPY) |
revenueCagr |
Number | Tenure-adjusted compound annual revenue growth |
CEORater Advanced Features
- Daily data refreshes ensuring your Openclaw Skills always access the most current proxy filings and market returns.
- Support for
format=rawparameters to facilitate complex downstream calculations and multi-agent data synthesis. - Deep search capabilities across sectors and industries for broad market thematic analysis.
- Metadata access providing live record counts and system health timestamps for high-reliability automation workflows.
- Enterprise-grade coverage of 500+ CEOs with specific tenure-adjusted metrics that go beyond simple stock price changes.
SKILL.md
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