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在 OpenClaw 中安装
/install rmn-visualizer
功能描述
Visualize your AI Agent's 5-layer recursive memory network from local files with an interactive D3.js force-directed graph in a Node.js server.
安全使用建议
This skill will read markdown files from your OpenClaw workspace (MEMORY.md, memory/*.md, .issues/*, SOUL.md) and can start a Cloudflare tunnel that publishes a public URL serving those parsed files. Before running or letting an agent auto-run the 'launch' flow: 1) Inspect the workspace files to ensure no secrets or private data are present; 2) Prefer running node scripts/serve.js locally and opening http://localhost:3459 rather than using the tunnel; 3) If you must use the tunnel, run it yourself manually and do not instruct the agent to automatically post the URL to chat; 4) Consider copying a sanitized subset of memory files into a temporary test workspace to preview behavior; 5) If you do not trust automatic sharing, do not grant the agent permission to invoke this skill autonomously.
功能分析
Type: OpenClaw Skill
Name: rmn-visualizer
Version: 1.1.2
The skill is classified as suspicious due to its core functionality involving the reading of potentially sensitive agent memory files (MEMORY.md, memory/*.md, .issues/*, SOUL.md) and then exposing this processed data to the public internet via a Cloudflare Tunnel, as orchestrated by `scripts/launch.js` and `scripts/serve.js`. While this aligns with the stated purpose of visualizing agent memory, it creates a significant vulnerability risk if the agent's memory contains confidential information. The `SKILL.md` also contains a functional prompt injection instruction to the agent to output only the public URL, which, while intended for user convenience, is a signal of agent instruction manipulation.
能力评估
Purpose & Capability
Name, description, and code align: the skill parses MEMORY.md, memory/*.md, .issues/* and serves a D3 force-directed visualization. The parser heuristics, layers, and UI behavior are consistent with the stated purpose.
Instruction Scope
SKILL.md and launch.js explicitly instruct the agent to start a Cloudflare tunnel and to return the tunnel URL to the chat. That workflow exposes all parsed local memory files to the public URL created by cloudflared. The instructions also default to scanning the OpenClaw workspace (and allow RMN_WORKSPACE override), which means potentially sensitive agent 'memory' and 'SOUL.md' are read and served. The behavior is consistent with the feature, but it is high-risk for sensitive data and the instructions give the agent authority to publish the URL to the conversation.
Install Mechanism
There is no install spec (instruction-only plus two JS scripts), so nothing is written by an installer. The only external runtime dependency is cloudflared (the code checks for it and requires it for the tunneling path). Using cloudflared is reasonable for exposing a local server, but relying on a locally installed tunnel binary gives the skill the ability to expose files publicly if run.
Credentials
The skill declares no required env vars, but the code honors RMN_WORKSPACE, RMN_PORT, and OPENCLAW_WORKSPACE to locate files. Those overrides are reasonable for a file-scanning visualizer, but they also let the skill be pointed at arbitrary directories. No API keys or unrelated credentials are requested.
Persistence & Privilege
always is false, the skill does not modify other skills or system configuration, and it does not persist credentials. It spawns processes (node + cloudflared) but does not attempt to install background services or enable itself permanently.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install rmn-visualizer - 安装完成后,直接呼叫该 Skill 的名称或使用
/rmn-visualizer触发 - 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
v1.1.2
Fix: install command uses clawhub install rmn-visualizer (without username prefix)
v1.1.1
v1.1.1: Updated README with clearer install guide for end users
v1.1.0
v1.1.0: Added launch.js — one command to start server + Cloudflare Tunnel, outputs public URL to stdout for agent to relay to chat. Zero-click visualization sharing.
v1.0.0
Initial release: D3.js force-directed graph visualization for agent recursive memory neural network. Zero dependencies, one command to run.
元数据
常见问题
RMN Visualizer 是什么?
Visualize your AI Agent's 5-layer recursive memory network from local files with an interactive D3.js force-directed graph in a Node.js server. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 631 次。
如何安装 RMN Visualizer?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rmn-visualizer」即可一键安装,无需额外配置。
RMN Visualizer 是免费的吗?
是的,RMN Visualizer 完全免费(开源免费),可自由下载、安装和使用。
RMN Visualizer 支持哪些平台?
RMN Visualizer 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 RMN Visualizer?
由 ceelo(@weidadong2359)开发并维护,当前版本 v1.1.2。
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