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版本数
在 OpenClaw 中安装
/install mem
功能描述
Search local memory index (local-first). Use for /mem queries in Telegram.
安全使用建议
Before installing or enabling this skill: (1) verify that the referenced scripts (scripts/index-memory.py and scripts/search-memory.py) exist in the environment and inspect their source — do not run them if you can't review them; (2) ensure those scripts only access the local memory index and do not read or transmit unrelated files or credentials; (3) if possible, run the scripts in a restricted or sandboxed environment first; (4) consider limiting the agent's autonomous invocation for this skill (or require explicit user confirmation) until you trust the scripts; (5) ask the skill author to include the implementation or a detailed spec in the package so behavior is auditable. These steps will reduce the risk that the skill executes unexpected or exfiltrating code.
功能分析
Type: OpenClaw Skill
Name: mem
Version: 0.1.0
The skill instructs the AI agent to execute local Python scripts (`scripts/index-memory.py` and `scripts/search-memory.py`) as part of its core functionality, as seen in `SKILL.md`. While this capability is plausibly needed for a 'memory search' skill, the content of these scripts is not provided for review. The execution of arbitrary local scripts represents a risky capability, as their unseen code could potentially perform unauthorized actions, making the skill suspicious despite the lack of explicit malicious instructions in the provided files.
能力评估
Purpose & Capability
Name and description (local-first memory search for /mem) align with the actions described (update index, search index). The skill does not request unrelated credentials, binaries, or config paths.
Instruction Scope
The SKILL.md tells the agent to run scripts/index-memory.py and scripts/search-memory.py but those scripts are not included or described. Because the skill is instruction-only, the agent will execute whatever code exists at those paths in the host environment; that code could read arbitrary local files, modify data, or transmit data externally. The instructions are also vague ('if needed'), giving runtime discretion.
Install Mechanism
No install spec (instruction-only), so nothing is fetched or written by the skill itself. This lowers remote install risk but increases reliance on external files whose contents are unknown.
Credentials
The skill declares no environment variables, credentials, or config paths. There is nothing requested that appears disproportionate to local memory search.
Persistence & Privilege
The skill does not request permanent presence (always:false) and does not modify other skills or system-wide settings. Note: model invocation is enabled (default), so the agent could call this skill autonomously — this is normal but combined with the instruction-scope concern increases the blast radius.
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 mem - 安装完成后，直接呼叫该 Skill 的名称或使用
/mem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
v0.1.0
Initial publish
元数据
常见问题
mem 是什么？
Search local memory index (local-first). Use for /mem queries in Telegram. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1295 次。
如何安装 mem？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mem」即可一键安装，无需额外配置。
mem 是免费的吗？
是的，mem 完全免费（开源免费），可自由下载、安装和使用。
mem 支持哪些平台？
mem 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 mem？
由 Trumppo（@trumppo）开发并维护，当前版本 v0.1.0。
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