← 返回 Skills 市场
Mem0 Tech Tree Memory
作者
371166758-qq
· GitHub ↗
· v5.0.0
· MIT-0
100
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install mem0-tech-tree
功能描述
Manage and explore a tech tree of knowledge nodes with dependencies, unlock paths, synergies, tiers, and mastery progress tracking.
安全使用建议
This skill appears to implement a local tech-tree manager and the SKILL.md and Python code are largely coherent with that purpose. However: (1) Inspect the full mem0_skill.py before running — search for network, http, socket, subprocess, os.system, urllib, requests, or any hardcoded endpoints; the file was truncated in the package listing so verify there are no unexpected external calls. (2) Do not run npm install in this directory unless you trust the mem0ai package author — package.json lists an unrelated Node dependency that the Python script doesn't need. (3) Back up tree.json before using store/clear and run the script under a non-privileged user or in an isolated environment (container/VM) first. (4) If you plan to use it long-term, consider running it in a virtualenv and auditing third-party imports (jieba, etc.). If you want, I can scan the remainder of mem0_skill.py for network or subprocess usage if you paste the truncated portion.
能力评估
Purpose & Capability
Name/description, SKILL.md and mem0_skill.py align: a local tech-tree memory manager that reads/writes tree.json and provides store/retrieve/list/etc. However package.json declares an npm dependency (mem0ai) and Node metadata while the runtime is Python — this is disproportionate and unexplained.
Instruction Scope
SKILL.md only instructs running the included Python script (store/retrieve/tree/info/list/clear). The instructions describe local operations on the tech tree; they do not request external endpoints, credentials, or reading unrelated system paths. Based on the visible Python code, operations are local (load/save tree.json, tokenization, graph analysis).
Install Mechanism
There is no install spec (instruction-only), which is low risk. But package.json is present with an npm dependency (mem0ai). If someone runs npm install this could pull external code; that behavior is not required by the SKILL.md and is unexpected.
Credentials
The skill declares no required environment variables or credentials and the SKILL.md does not ask for any. The tree.json sample contains entries mentioning tools and configured services (OpenAI, OpenClaw, launchd) but these are content strings, not authorization requests. Still, the presence of those strings is informational and not a declared requirement.
Persistence & Privilege
Skill does not request always:true and is user-invocable only. It persists only to its own tree.json file (read/write in same directory). It does not request system-wide config changes or modify other skills.
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 mem0-tech-tree - 安装完成后,直接呼叫该 Skill 的名称或使用
/mem0-tech-tree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
v5.0.0
v5: Tech tree architecture with dependency detection, tier progression T1-T5, cross-branch synergy discovery, BM25 retrieval, auto-clustering
元数据
常见问题
Mem0 Tech Tree Memory 是什么?
Manage and explore a tech tree of knowledge nodes with dependencies, unlock paths, synergies, tiers, and mastery progress tracking. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 100 次。
如何安装 Mem0 Tech Tree Memory?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mem0-tech-tree」即可一键安装,无需额外配置。
Mem0 Tech Tree Memory 是免费的吗?
是的,Mem0 Tech Tree Memory 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Mem0 Tech Tree Memory 支持哪些平台?
Mem0 Tech Tree Memory 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 Mem0 Tech Tree Memory?
由 371166758-qq(@371166758-qq)开发并维护,当前版本 v5.0.0。
推荐 Skills