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Zhua Distributed
by
beipian261
· GitHub ↗
· v1.0.0
· MIT-0
224
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Install in OpenClaw
/install zhua-distributed
Description
爪爪分布式部署系统 —— 实现多实例协同、负载均衡、故障转移。Use when 爪爪需要分布式部署、多设备协同、或构建爪爪网络。
Usage Guidance
This package looks incomplete and over-promises. Before installing or running anything: 1) ask the publisher for the missing runtime scripts (add_slave.py, distribute_task.py, sync_state.py) and the referenced docs (hive_mind.md, sync_protocol.md); 2) inspect any missing scripts for network calls or credential usage before providing secrets; 3) be aware init_master.py will create ~/.zhua/distributed/<name>.json in your home directory — review the created file and its contents; 4) if the skill will integrate with HiveMind or n8n, require explicit instructions for installing/configuring those components and any credentials they need; 5) if you don't trust the source, do not run unknown scripts on production machines — test in an isolated environment first.
Capability Analysis
Type: OpenClaw Skill
Name: zhua-distributed
Version: 1.0.0
The zhua-distributed skill bundle is a framework for managing distributed AI agent instances. The provided code, specifically scripts/init_master.py, performs standard local configuration by creating a directory and a JSON file in the user's home folder (~/.zhua/distributed/). No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the bundle consists primarily of placeholders and basic setup logic.
Capability Assessment
Purpose & Capability
SKILL.md claims a multi-instance distributed system with init/add/distribute/sync scripts and integrations (HiveMind, n8n), but the package only contains init_master.py and an example script. Several runtime scripts referenced (add_slave.py, distribute_task.py, sync_state.py) and referenced docs (hive_mind.md, sync_protocol.md) are missing. The provided files do not implement the described capabilities, so the manifest does not match the claimed purpose.
Instruction Scope
Runtime instructions tell the agent/user to run scripts that are not present. init_master.py writes configuration to ~/.zhua/distributed which is coherent with a local setup, but SKILL.md also references external sync and memory systems (HiveMind, n8n) and a custom protocol without giving steps to install/configure them. The instructions therefore over-promise and leave unspecified actions that could require network access or credentials.
Install Mechanism
There is no install spec (instruction-only with a couple of scripts). That limits automatic code installation risk. The only code that would run is the included scripts, which are small and local; there is no download-from-URL or package install specified.
Credentials
The skill declares no required environment variables or credentials, yet the design references external services (neural-memory HiveMind, n8n). Either the integrations are omitted (missing files) or the skill expects the operator to configure third-party credentials later. Absence of declared secrets is safer for now, but the references are inconsistent and may require secrets/configuration if implemented.
Persistence & Privilege
always:false and autonomous invocation is allowed (platform default). The included init_master.py writes a JSON config to the user's home directory (~/.zhua/distributed), which is consistent with the skill's purpose and not an escalated privilege. The skill does not attempt to modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zhua-distributed - After installation, invoke the skill by name or use
/zhua-distributed - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of zhua-distributed:
- Enables multi-instance deployment of 爪爪 across multiple devices.
- Supports state synchronization, memory sharing, load balancing, and automatic failover.
- Provides a scalable network architecture with master, compute, and storage node types.
- Includes scripts for initialization, adding nodes, task distribution, and state sync.
- Integrates with neural-memory (HiveMind) and n8n-workflow-automation for synchronization.
- Adds documentation for deployment scenarios, workflow, and failure handling.
Metadata
Frequently Asked Questions
What is Zhua Distributed?
爪爪分布式部署系统 —— 实现多实例协同、负载均衡、故障转移。Use when 爪爪需要分布式部署、多设备协同、或构建爪爪网络。 It is an AI Agent Skill for Claude Code / OpenClaw, with 224 downloads so far.
How do I install Zhua Distributed?
Run "/install zhua-distributed" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Zhua Distributed free?
Yes, Zhua Distributed is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Zhua Distributed support?
Zhua Distributed is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Zhua Distributed?
It is built and maintained by beipian261 (@beipian261); the current version is v1.0.0.
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