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在 OpenClaw 中安装
/install remind
功能描述
Auto-learns when and how to bring things back to your human's attention. Adapts timing and style to their preferences.
安全使用建议
This skill is instruction-only and appears coherent for a reminder assistant. Before installing, confirm two things with the skill author or your platform: (1) what data sources the skill will 'observe' to learn (conversation history, calendar, email, notifications, etc.), and whether you must grant any connectors; and (2) where learned preferences and reminders are stored and how you can review or delete them. If you are concerned about autonomous learning, run it with model invocation limited or in a restricted test environment until you verify its behavior. If you plan to integrate it with calendars or email, only grant the minimum connector access required.
功能分析
Type: OpenClaw Skill
Name: remind
Version: 1.0.0
The OpenClaw skill 'Remind' is designed to help users remember commitments and events. Its core loop involves detecting remindable items, evaluating preferences, delivering reminders, observing user reactions, and storing learned preferences for timing and style. All instructions across `SKILL.md`, `timing.md`, and `triggers.md` are consistent with this stated purpose, focusing on adaptive reminder management. There is no evidence of prompt injection attempting to subvert the agent, exfiltrate data, execute unauthorized commands, or perform any other malicious actions. The learning mechanism is described in a way that aligns with a benign, adaptive assistant feature.
能力评估
Purpose & Capability
Name and description match the instructions: detect known commitments, decide timing/style, remind, observe reactions, and update preferences. No unexpected binaries, credentials, or installs are requested that would contradict a reminder assistant.
Instruction Scope
SKILL.md, timing.md, and triggers.md stay on topic (detect remindable items, lead times, triggers). However the skill repeatedly says it will 'observe' user reactions and 'auto-learn' without specifying the data sources (conversation history, calendar, email, notifications) or the mechanism for observation. That vagueness means the agent could rely on any conversational context it has access to — reasonable, but worth clarifying before trusting autonomous learning.
Install Mechanism
Instruction-only skill with no install spec or code files. Lowest-risk install profile: nothing is downloaded or written by the skill itself.
Credentials
No environment variables, no credentials, and no required config paths are declared. The requested permissions are proportionate to a reminder assistant. Note: actual operation may require connectors (calendar, email, notification channels) in practice — those are not declared here.
Persistence & Privilege
always is false and model invocation is allowed (normal). The skill says it will 'Store — Update preferences below' but does not specify where preferences are persisted (agent memory, user storage, external service). Ask how and where learned preferences are saved and how to clear them.
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 remind - 安装完成后，直接呼叫该 Skill 的名称或使用
/remind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
元数据
常见问题
Remind 是什么？
Auto-learns when and how to bring things back to your human's attention. Adapts timing and style to their preferences. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2759 次。
如何安装 Remind？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install remind」即可一键安装，无需额外配置。
Remind 是免费的吗？
是的，Remind 完全免费（开源免费），可自由下载、安装和使用。
Remind 支持哪些平台？
Remind 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 Remind？
由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.0。
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