A comprehensive CLI-based reference suite for developers and auditors working within the Substrate blockchain ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install substrate
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 substrate 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 Substrate Reference Tool?
The Substrate reference tool is a specialized module designed to streamline the workflow of blockchain engineers and financial analysts. As part of the growing ecosystem of Openclaw Skills, it provides instant access to technical fundamentals, regulatory frameworks, and risk mitigation strategies essential for building robust parachains or standalone blockchains.
By integrating this skill, developers can reduce context-switching by fetching key formulas, glossary terms, and due diligence checklists directly within their terminal environment. Whether you are troubleshooting runtime logic or ensuring compliance with the latest standards, this tool acts as a high-fidelity knowledge base for the Substrate framework.
Substrate Reference Tool Use Cases
- Rapid lookup of blockchain standards and best practices while coding Substrate runtimes.
- Troubleshooting complex Substrate issues using a centralized reference guide.
- Performing due diligence for financial instruments using the built-in checklist command.
- Verifying regulatory compliance and risk factors for new blockchain-based fintech projects.
How Substrate Reference Tool Works
- The user invokes the skill via the Openclaw Skills CLI interface using the
scripts/script.shentry point. - A specific command (e.g.,
formulasorrisks) is passed to the script to filter the knowledge base. - The tool retrieves the relevant technical documentation, calculations, or guidelines stored within the skill's data layer.
- The formatted output is returned to the user's console for immediate integration into their development or auditing workflow.
Substrate Reference Tool Setup
To install and use this skill, clone the repository and ensure the script has execution permissions:
git clone https://github.com/bytesagain/ai-skills
cd ai-skills
chmod +x scripts/script.sh
# Test the installation
./scripts/script.sh help
Substrate Reference Tool Data Schema & Taxonomy
The Substrate skill organizes information into distinct modules accessible via subcommands. The following table describes the metadata taxonomy:
| Module | Data Type | Description |
|---|---|---|
intro |
Fundamental | High-level overview of Substrate blockchain mechanics. |
formulas |
Technical | Mathematical models and key calculations for chain logic. |
regulations |
Compliance | Legal frameworks and regulatory standards for blockchain. |
instruments |
Tooling | Overview of available instruments and development tools. |
glossary |
Metadata | Dictionary of domain-specific terms and definitions. |
Substrate Reference Tool Advanced Features
- Multi-agent compatibility for automated auditing workflows using Openclaw Skills.
- Extensible CLI architecture allowing for custom script hooks.
- Comprehensive due diligence checklists for institutional-grade blockchain risk assessment.
- Version-controlled reference data to track changes in blockchain standards over time.
SKILL.md
Loading
Related Openclaw Skills
Einstein Research — Portfolio Risk Analyzer
A comprehensive financial risk management skill that quantifies systemic and correlated risks across investment portfolios using industry-standard metrics.
Investment Browser SEC Scraper
A professional-grade SEC EDGAR parser that extracts 47 financial metrics and calculates margins directly from 10-Q and 10-K filings without requiring expensive APIs.
Einstein Research Edge
Einstein Research Edge formalizes the transition from qualitative market observations to structured, pipeline-ready quantitative research tickets.
Interface Health Assessment
A multi-vendor diagnostic skill for monitoring and troubleshooting network interface health across physical and data-link layers.
Meta Workflow Discoverer
An intelligent pattern-recognition engine that observes user behavior to automatically discover and generate executable automation workflows.
EvalLayer Evaluator
An AI-powered evaluation gate that extracts factual claims and scores deliverable quality for autonomous agent workflows.
Featured*
