A distributed consensus skill for multi-agent systems requiring Byzantine fault-tolerant decision making and coordinated state changes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pilot-consensus
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 pilot-consensus 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 pilot-consensus?
The pilot-consensus skill is a specialized framework designed for developers building decentralized agent swarms that require high-integrity decision making. As part of the wider ecosystem of Openclaw Skills, this tool enables multiple autonomous agents to reach agreement on specific values, configurations, or transaction states, even in complex network environments.
By leveraging distributed voting and agreement protocols, this skill ensures that your agent infrastructure remains consistent. It provides the necessary primitives to move beyond simple eventual consistency, offering a structured approach to Byzantine fault-tolerant consensus where a single leader isn't sufficient or desired.
pilot-consensus Use Cases
- Coordinating distributed transactions or state changes across an autonomous swarm.
- Reaching agreement on global configuration values in a multi-agent environment.
- Implementing Byzantine fault-tolerant voting systems where agents must validate peer proposals.
- Managing shared resource allocation through quorum-based decision making.
How pilot-consensus Works
- Proposal Initiation: An agent generates a unique ID and publishes a proposal value to a specific consensus group via the registry host.
- Phase 1 (Prepare): The proposal is broadcasted to the network, signaling to other agents that a new decision term has begun.
- Phase 2 (Voting): Peer agents receive the proposal, validate its contents, and send signed vote messages back to the proposer.
- Quorum Verification: The proposing agent collects incoming votes and utilizes jq to filter and count approvals against a calculated quorum threshold.
- Phase 3 (Commit): Once quorum is reached, a final commit message is published to the registry to solidify the consensus value across the swarm.
pilot-consensus Setup
To utilize this skill, ensure you have the pilot-protocol skill installed and the pilotctl binary available in your PATH. The pilot daemon must be active.
# Start the required daemon
pilotctl daemon start
# Ensure dependencies are installed
# Requires: jq, uuidgen, and pilot-protocol
pilot-consensus Data Schema & Taxonomy
The skill utilizes JSON-based message payloads for communication. The following table describes the core data structure for consensus messages:
| Field | Type | Description |
|---|---|---|
type |
string | The message intent: proposal, prepare, vote, or commit. |
id |
uuid | A unique identifier for the specific consensus round. |
term |
integer | The current logical clock or term index to prevent stale votes. |
value |
object/string | The actual data or decision being voted upon. |
approve |
boolean | (Vote only) Indicates the agent's agreement with the proposal. |
pilot-consensus Advanced Features
- Support for three-phase commit protocols to ensure atomicity across distributed agents.
- Native integration with pilotctl for JSON-stream processing and message filtering.
- Support for custom quorum logic, allowing for simple majority or complex Byzantine weighting.
- Robust error handling for network partitions through term-based validation within Openclaw Skills.
SKILL.md
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