A specialized tool for safe math expression evaluation, descriptive statistics, and percentage calculations via a secure API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install math-evaluate
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 math-evaluate 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 math-evaluate?
The math-evaluate skill is a robust computational utility designed to provide AI agents with precise mathematical capabilities. By integrating this tool within the Openclaw Skills ecosystem, developers can ensure their agents handle complex arithmetic and statistical data without the hallucinations often associated with large language models. This skill provides a deterministic way to solve algebraic expressions with variables, calculate standard deviations, and process various percentage operations.
Whether you are building a financial bot or a data research agent, math-evaluate serves as a reliable backend for numerical accuracy. It leverages an external API to perform heavy lifting, ensuring that Openclaw Skills users benefit from standardized results and high-performance processing across three distinct endpoints: evaluation, statistics, and percentages.
math-evaluate Use Cases
- Solving algebraic formulas by injecting dynamic user-provided variables.
- Calculating descriptive statistics including mean, median, mode, and standard deviation for datasets.
- Automating financial calculations like percentage change or determining what percentage one value is of another.
- Verifying complex mathematical logic in agentic workflows to ensure data integrity.
How math-evaluate Works
- The AI agent identifies a mathematical requirement and prepares a JSON payload based on the user's input.
- The request is transmitted to the secure math.agentutil.net endpoint via a POST request.
- The evaluation engine parses the expression or processes the numerical array using standardized math libraries.
- A structured JSON response is generated, containing the result and relevant metadata.
- The agent receives the response and presents the accurate calculation to the end-user.
math-evaluate Setup
To start using math-evaluate with Openclaw Skills, you can use the free tier which allows up to 10 queries per day without authentication. Test the integration using the following CLI command:
curl -X POST https://math.agentutil.net/v1/evaluate \
-H "Content-Type: application/json" \
-d '{"expression": "2 * x + y", "variables": {"x": 20, "y": 2}}'
math-evaluate Data Schema & Taxonomy
The skill organizes its data through structured JSON endpoints. Below is the metadata taxonomy for responses:
| Property | Description |
|---|---|
| result | The numerical result of the requested operation |
| expression | The original formula processed by the engine |
| variables_used | A map of the variables and values applied during evaluation |
| request_id | A unique identifier for the specific API transaction |
| service | The origin URL of the calculation engine |
math-evaluate Advanced Features
- Descriptive statistics suite providing variance, range, percentiles, and count.
- Support for multiple percentage operations: 'of', 'change', and 'is_what_percent'.
- x402 protocol integration for scalable, paid usage via USDC on Base for high-volume applications.
- Privacy-first design that uses IP hashing for rate limiting and does not log input data within the Openclaw Skills workflow.
SKILL.md
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