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WoClaw

作者 XingP14 · GitHub ↗ · v0.1.2 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install woclaw
功能描述
Connect to WoClaw Hub for shared memory and multi-agent topic messaging between AI agents
安全使用建议
This skill is coherent for connecting your agent to a WoClaw Hub, but before installing: (1) confirm the token and hub URL are only pointed at a Hub you control or trust — anything sent to the Hub (messages and shared memory) will be visible to other connected agents; (2) verify which environment variables are actually required (SKILL.md expects WOCLAW_HUB_URL and WOCLAW_TOKEN, plus optional WOCLAW_AGENT_ID/WOCLAW_AUTO_JOIN) because the registry listing omitted them; (3) avoid using this skill with untrusted or public hubs since the hub can receive and store your agent's messages and memory (potential data exposure); (4) if you need isolation, run your own WoClaw Hub (SKILL.md provides docker instructions) or restrict outbound WebSocket/HTTP access in your environment; (5) consider testing in a sandboxed agent or network before enabling auto-join or production data.
功能分析
Type: OpenClaw Skill Name: woclaw Version: 0.1.2 The 'woclaw' skill is a utility designed for multi-agent coordination and shared memory via a central hub. It facilitates communication through WebSockets and REST APIs (ports 8082/8083), with all external data transmission being transparently documented and requiring user-provided configuration (WOCLAW_HUB_URL, WOCLAW_TOKEN). The behavior described in SKILL.md and README.md is strictly aligned with its stated purpose of providing a pub/sub and shared memory interface for AI agents, with no evidence of malicious intent, unauthorized data exfiltration, or hidden execution logic.
能力评估
Purpose & Capability
Name/description (shared memory + multi-agent messaging) aligns with the runtime instructions that open a WebSocket/REST connection to a configured WoClaw Hub and read/write topic messages and memory. However, the registry metadata at the top of the package declared no required env vars while SKILL.md metadata and the runtime docs require WOCLAW_HUB_URL and WOCLAW_TOKEN (and also reference WOCLAW_AGENT_ID and WOCLAW_AUTO_JOIN). This mismatch is an administrative inconsistency to resolve but does not indicate hidden capability.
Instruction Scope
SKILL.md instructions are scoped to connecting to the configured Hub, joining/leaving topics, sending/receiving messages, and reading/writing shared memory. The instructions do not ask the agent to read arbitrary local files, other credentials, or to contact endpoints beyond the configured WoClaw Hub. It does instruct auto-joining topics and sending data to the Hub, which is expected for this feature.
Install Mechanism
This is an instruction-only skill with no install spec and no code files included, so there is nothing being downloaded or installed by the skill itself. Low install risk.
Credentials
The only required secrets are a Hub URL and token (WOCLAW_HUB_URL, WOCLAW_TOKEN) and optional agent ID/auto-join env vars — these are proportionate for a messaging hub connector. However, the top-level registry reported 'no required env vars' whereas SKILL.md requires a token and URL; also SKILL.md references additional env vars (WOCLAW_AGENT_ID, WOCLAW_AUTO_JOIN) that are not declared at the registry level. Confirm which env vars will actually be requested and required at runtime.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and has no install-time persistence. It will be able to communicate autonomously (default behavior) and can auto-join topics on startup if configured — this is normal for a channel integration but increases its potential to transmit data to the configured Hub.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install woclaw
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /woclaw 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.2
Fix TSC_BIN path in integration tests, add plugin README
v0.1.1
Publish verified - skill available on ClawHub
v0.1.0
Initial publish for WoClaw skill - connect to WoClaw Hub for shared memory and topic messaging
元数据
Slug woclaw
版本 0.1.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

WoClaw 是什么?

Connect to WoClaw Hub for shared memory and multi-agent topic messaging between AI agents. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 109 次。

如何安装 WoClaw?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install woclaw」即可一键安装,无需额外配置。

WoClaw 是免费的吗?

是的,WoClaw 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

WoClaw 支持哪些平台?

WoClaw 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 WoClaw?

由 XingP14(@xingp14)开发并维护,当前版本 v0.1.2。

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