A specialized tool for wrapping Humanity's Last Exam (HLE) questions in a structured Chain-of-Thought reasoning framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hle-reasoning-wrapper
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 hle-reasoning-wrapper 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 HLE Reasoning Wrapper?
The HLE Reasoning Wrapper is a developer utility designed to enhance the accuracy and reliability of AI agents when tackling Humanity's Last Exam (HLE) questions. By enforcing a strict Chain-of-Thought (CoT) process, this skill ensures that LLMs provide logical, step-by-step reasoning before arriving at a final answer.
This is a vital component for developers building high-performance Openclaw Skills that require rigorous validation and format compliance in complex benchmarking scenarios. It effectively bridges the gap between raw model outputs and the highly structured requirements of the HLE evaluation framework.
HLE Reasoning Wrapper Use Cases
- Solving Humanity's Last Exam (HLE) questions with high precision and logical consistency.
- Enforcing structured output formats like Thought/Answer blocks in LLM responses.
- Automating the validation of benchmark answers within Openclaw Skills workflows.
- Improving the reasoning transparency of AI agents in research and evaluation environments.
How HLE Reasoning Wrapper Works
- The user provides a raw HLE question or prompt to the skill's formatting function.
- The skill injects a required structure that forces the LLM to follow a specific Thought and Answer block format.
- The formatted prompt is sent to the Large Language Model for processing.
- Upon receiving the response, the skill validates the output to ensure the model adhered to the logical structure and format requirements.
HLE Reasoning Wrapper Setup
To get started with this tool in your Openclaw Skills environment, ensure you have the package imported in your project. You can initialize it using the following pattern:
npm install hle-reasoning-wrapper
Usage in your code:
const hle = require('./index');
const prompt = hle.formatPrompt("Insert HLE question here");
// Send prompt to your preferred LLM
HLE Reasoning Wrapper Data Schema & Taxonomy
The skill manages data through a streamlined input-output validation schema:
| Attribute | Description |
|---|---|
| formatPrompt | Function that transforms a raw string into a structured CoT prompt. |
| validateOutput | Logic that parses the LLM response to confirm presence of 'Thought' and 'Answer' sections. |
| result.isValid | Boolean indicator of whether the model followed the structured reasoning protocol. |
HLE Reasoning Wrapper Advanced Features
- Strict format enforcement to prevent model drift during complex reasoning tasks.
- Seamless integration with broader Openclaw Skills for automated benchmarking pipelines.
- Lightweight JavaScript API for fast integration into existing AI agent workflows.
- Modular logic that can be extended for other multi-step reasoning benchmarks.
SKILL.md
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