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在 OpenClaw 中安装
/install memory-graph
功能描述
Visualize and explore Luhmann-encoded memory clusters as interactive graphs with narrative overlays, cluster highlighting, and export options.
安全使用建议
This skill references a 'memory-graph' CLI and capabilities (cross-user discovery, real-time updates) but provides no code, install steps, or source. Before installing or enabling it: 1) ask the author for the install instructions or a link to the source/release (GitHub or vendor page); 2) confirm whether your environment already has a trusted 'memory-graph' binary—if not, do not assume it will appear; 3) clarify what data sources the skill uses and whether it accesses other users' data; 4) request explicit required env vars or credentials and justify them; 5) if you must try it, run it in a sandboxed environment and monitor network/file access. The current mismatch (expected CLI vs no provided install/source) is the main reason to treat this as suspicious.
功能分析
Type: OpenClaw Skill
Name: memory-graph
Version: 1.0.0
The skill bundle contains only metadata and documentation for a memory visualization tool. There is no executable code or suspicious instructions present in SKILL.md or _meta.json, and the described functionality (rendering and exporting knowledge graphs) is consistent with its stated purpose.
能力评估
Purpose & Capability
The SKILL.md shows CLI commands (memory-graph render/explore/export) and describes features like cross-user discovery and real-time updates, but the skill declares no install spec, no required binaries, and no source/homepage. Either the environment must already have an unrelated binary named 'memory-graph' (not declared) or the skill is missing required artifacts. This is an incoherence between stated functionality and what is provided.
Instruction Scope
The instructions themselves are short and do not direct reading of system files or environment variables, which is good. However they are vague about data sources (where memories/graphs come from), what 'cross-user connection discovery' requires (access to other users' data?), and how 'real-time updates' are implemented (network/webhooks). That vagueness gives the agent broad discretion and could lead to unexpected data access if implemented later.
Install Mechanism
There is no install spec (instruction-only), which is low-risk in general, but problematic here because the SKILL.md clearly expects a CLI tool. The absence of an install or declared required binary is inconsistent and should be clarified.
Credentials
The skill declares no environment variables, credentials, or config paths. There is no immediate request for secrets or unrelated credentials.
Persistence & Privilege
The skill is not marked always:true and is user-invocable. It does not request persistent system presence or modify other skill configs based on the provided metadata.
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 memory-graph - 安装完成后，直接呼叫该 Skill 的名称或使用
/memory-graph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
v1.0.0
Initial release of memory-graph
- Visualizes Luhmann-encoded memories as interactive node-link diagrams.
- Supports cluster-aware layouts with automatic grouping and narrative overlays.
- Enables interactive exploration, real-time updates, and export to SVG/PNG/JSON.
- Detects cross-user connections and provides WebView-ready output for embedding.
元数据
常见问题
Memory Graph 是什么？
Visualize and explore Luhmann-encoded memory clusters as interactive graphs with narrative overlays, cluster highlighting, and export options. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 722 次。
如何安装 Memory Graph？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-graph」即可一键安装，无需额外配置。
Memory Graph 是免费的吗？
是的，Memory Graph 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Memory Graph 支持哪些平台？
Memory Graph 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 Memory Graph？
由 Kobe（@kkw-21）开发并维护，当前版本 v1.0.0。
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