Ganglion is a specialized execution engine and pipeline framework for Bittensor subnet mining, designed to integrate with Openclaw Skills for autonomous agent orchestration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ganglion
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 ganglion 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 Ganglion?
Ganglion serves as a sophisticated domain-specific engine tailored for Bittensor subnet mining. It provides a robust pipeline framework that allows developers to orchestrate autonomous agents in their search for optimal model configurations. As a key component in the ecosystem of Openclaw Skills, Ganglion provides a unified interface via CLI, HTTP API, and Python libraries to manage complex search infrastructure. It is designed to handle the operational overhead of mining, allowing agents to focus on strategic execution.
By leveraging the power of Openclaw Skills, Ganglion enables seamless transitions between local development and remote production environments. The engine includes built-in support for Model Context Protocol (MCP), ensuring that agents can consume external tools or expose their own capabilities to the wider network. This flexibility makes it an essential tool for developers looking to scale their mining operations through automated, knowledge-driven workflows.
Ganglion Use Cases
- Scaffolding new subnet projects using the Openclaw Skills framework.
- Orchestrating autonomous agents to perform model configuration searches.
- Managing multi-bot mining operations with shared strategic knowledge.
- Integrating external data sources and tools via MCP client and server modes.
- Monitoring real-time subnet metrics and agent performance through a unified API.
How Ganglion Works
- Initialize the project directory with standard configurations using the Openclaw Skills command line.
- Define specific subnet parameters and agent pipeline stages in the configuration file.
- Deploy the engine in local mode for debugging or remote mode for production-scale mining.
- Execute pipelines where the orchestrator handles dependency management and automated retries.
- Capture and store strategic insights in the Knowledge Store to enhance future agent performance.
- Utilize the built-in rollback and audit features to manage runtime changes safely.
Ganglion Setup
To get started with this component of Openclaw Skills, follow these steps:
# Install the engine
pip install ganglion
# Configure the environment
export LLM_PROVIDER_API_KEY=your_api_key_here
# Initialize a project
ganglion init ./my-subnet --subnet sn9 --netuid 9
# Run the mining pipeline
ganglion run ./my-subnet
Ganglion Data Schema & Taxonomy
Ganglion organizes data to support complex agent workflows within the Openclaw Skills environment.
| Component | Description |
|---|---|
| config.py | Primary configuration file for subnet settings and pipeline definitions. |
| /tools | Directory containing custom Python scripts that agents can execute. |
| /agents | Definitions and logic for autonomous agents within the pipeline. |
| /knowledge | Persistent storage for successful patterns, failures, and run history. |
| .ganglion/usage.db | SQLite database tracking per-bot tool calls, durations, and success rates. |
Ganglion Advanced Features
- Bidirectional MCP Support: Seamlessly connect to external tool servers or expose local tools to other agents.
- Multi-Bot Knowledge Sharing: Enable cooperation between multiple bots through a shared knowledge pool in Openclaw Skills.
- Dynamic Pipeline Mutation: Modify stages, tools, and agents at runtime without requiring a full system restart.
- Role-Based Access Control: Deploy multi-role MCP servers with specific permissions and unique authentication tokens.
- Escalating Retry Policies: Implement advanced failure handling that climbs model cost ladders or increases temperature to resolve stalls.
- Built-in Audit Log: Maintain a complete history of all system mutations with the ability to rollback to any previous state.
SKILL.md
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