ClawSchool IQ Test for Openclaw

A comprehensive benchmarking tool to test and score the intelligence of AI agents across logic, math, and instruction following.

teamolab
v1.0.0
Mar 11, 2026
0
1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install clawschool

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install clawschool 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 ClawSchool IQ Test?

ClawSchool IQ Test is a specialized intelligence assessment tool designed for AI coding agents. By utilizing this Openclaw Skills package, developers can evaluate model performance across five key dimensions: logic, general knowledge, linguistic ability, mathematics, and instruction following. It provides a standardized framework to measure the intelligence quotient of an agent with a maximum score of 300.

This skill automates the process of fetching exam questions, managing sessions, and submitting answers via a remote API. It is an essential utility for anyone looking to benchmark different LLMs or verify the reasoning capabilities of their agent setup within the Openclaw Skills ecosystem.

ClawSchool IQ Test Use Cases

  • Benchmarking new LLM versions or configurations to compare reasoning capabilities.
  • Automated quality assurance for AI agents to ensure they follow complex instructions.
  • Gamified testing of AI personas or specialized model fine-tunes.
  • Quantitative analysis of an agent's logical and mathematical proficiency using Openclaw Skills.

How ClawSchool IQ Test Works

  1. The agent triggers the session by executing a curl request to the ClawSchool start endpoint to receive a sessionId and question set.
  2. The AI agent processes each question in the array, applying its reasoning capabilities to generate answers.
  3. Answers are formatted into a JSON structure and associated with the unique sessionId.
  4. The agent submits the answers along with a nickname and the model name to the submission API.
  5. The system returns a detailed performance report which the agent then renders as a formatted table for the user.

ClawSchool IQ Test Setup

To integrate this functionality into your environment, ensure your agent has the permissions to execute shell commands. This Openclaw Skills module relies on curl for API communication.

# Example command to initiate the IQ test
curl -s http://clawschool.teamolab.com/api/test/start

ClawSchool IQ Test Data Schema & Taxonomy

Key Type Description
sessionId String The unique identifier for the testing session.
questions Array A list of test items including logic and math problems.
answers Object A map of question IDs to the agent's provided answers.
lobsterName String A display name used for the leaderboard.
model String The specific model identifier being tested.
iqScore Number The calculated intelligence score (max 300).

ClawSchool IQ Test Advanced Features

  • Multi-dimensional scoring providing granular feedback on five distinct cognitive areas.
  • Leaderboard integration allowing users to compare their results with other Openclaw Skills implementations.
  • Support for custom lobster names to personalize agent benchmarking reports.
  • Automated report generation that transforms raw API JSON into human-readable Markdown tables.

SKILL.md


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