← 返回 Skills 市场
418
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install qmd-memory-1-0-0
功能描述
Enables local hybrid memory search using QMD with optimized collections, automatic indexing, and multi-agent sharing to reduce API costs by $50-300/month.
安全使用建议
This skill appears to do what it says: it installs the QMD CLI, scans and indexes files in your specified workspace, and runs local embeddings and a local re-ranker. Before installing/running setup: 1) Inspect the npm package @tobilu/qmd on the npm registry/GitHub to confirm you trust the upstream publisher; npm -g will execute package install scripts and place a binary on your PATH. 2) Expect ~2GB of model downloads and non-trivial CPU/RAM/disk use during embedding; ensure you are comfortable with the network and storage usage. 3) The setup will scan and index files under your workspace (default ~/.openclaw/workspace) — do not run it against directories that contain secrets you don't want indexed. 4) The skill can start a local MCP server bound to localhost:8181 for multi-agent sharing; this is local-only but review whether you want that service running. 5) Minor inconsistency: skill.json references scripts/add-collection.sh but that file is not present in the bundle — consider that an omission and verify available commands before relying on them. If you have concerns, run the setup in an isolated/sandbox environment or manually run the commands in the scripts after reviewing them.
功能分析
Type: OpenClaw Skill
Name: qmd-memory-1-0-0
Version: 1.0.0
The skill installs a global npm package (`@tobilu/qmd`) via `npm install -g` in `scripts/setup.sh`, which introduces a supply chain risk. It also instructs the OpenClaw agent to set up a nightly cron job for index updates in `SKILL.md` and starts a daemonized local HTTP server for multi-agent memory sharing in `scripts/serve.sh`. While these actions provide persistence and network capabilities, they are aligned with the stated purpose of a local memory skill and do not show clear intent of malicious behavior like data exfiltration or unauthorized remote control, classifying it as suspicious rather than malicious.
能力评估
Purpose & Capability
Name/description (local hybrid memory with QMD) match the included scripts and SKILL.md. The setup script installs a QMD CLI, configures collections from your workspace, and runs indexing/embeddings — all consistent with building a local search/indexing system to replace remote memory API calls.
Instruction Scope
SKILL.md instructs the agent/user to run setup which scans the workspace path (default $HOME/.openclaw/workspace or OPENCLAW_WORKSPACE) and creates QMD collections, runs qmd update/embed, and can start a local MCP server. These actions are expected for the feature, but they will read and index files under the workspace (including any sensitive .md files), and run commands that download models and generate embeddings. The skill does not request unrelated system credentials or attempt to read unrelated system paths.
Install Mechanism
No formal install spec in registry, but scripts call npm install -g @tobilu/qmd during setup. Installing an npm package globally and running it is necessary for the skill's functionality but has moderate risk: it executes third-party package code and triggers model downloads (~2GB) on first run. The model download sources are not enumerated in the skill bundle (they are performed by the qmd tool), so verify the upstream package and its model sources before running.
Credentials
The skill declares no required environment variables or credentials. The setup script uses an optional OPENCLAW_WORKSPACE env var to locate files — that is proportionate. No secrets or tokens are requested or referenced by the skill bundle.
Persistence & Privilege
always:false and no modifications to other skills or global agent configs are present. The skill can start a local MCP server (qmd mcp --http --daemon) which creates a local PID file and listens on localhost:8181; this is a normal capability for sharing memory across co-located agents but does not imply system-wide privilege escalation.
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 qmd-memory-1-0-0 - 安装完成后，直接呼叫该 Skill 的名称或使用
/qmd-memory-1-0-0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
QMD Memory Skill for OpenClaw v1.0.0
- Initial public release enabling local hybrid memory search for OpenClaw.
- Installs and configures QMD for cost-free, on-device search and embeddings.
- Automatic collection setup, context descriptions, and scheduled index updates.
- OpenClaw memory functions seamlessly route to QMD's local hybrid search.
- Includes templates for common workspace types and a cost savings calculator.
- Optional multi-agent MCP server for shared memory access.
元数据
常见问题
Qmd Memory 1.0.0 是什么？
Enables local hybrid memory search using QMD with optimized collections, automatic indexing, and multi-agent sharing to reduce API costs by $50-300/month. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 418 次。
如何安装 Qmd Memory 1.0.0？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qmd-memory-1-0-0」即可一键安装，无需额外配置。
Qmd Memory 1.0.0 是免费的吗？
是的，Qmd Memory 1.0.0 完全免费（开源免费），可自由下载、安装和使用。
Qmd Memory 1.0.0 支持哪些平台？
Qmd Memory 1.0.0 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 Qmd Memory 1.0.0？
由 Sieyer（@sieyer）开发并维护，当前版本 v1.0.0。
推荐 Skills