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Agent Skill · 研究检索

openclaw-rumi(OpenClaw rumi 搜索)

openclaw-rumi 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

openclaw-rumi 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,114。

总安装 35,839周安装 1,464GitHub Stars 公开资料未说明下载 11,478核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.5

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-rumi(OpenClaw rumi 搜索)
来源仓库:https://github.com/ricky610329/openclaw-rumi
安装命令:
openclaw skills install openclaw-rumi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-rumi

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

与与您有共同兴趣的真人进行匹配——主题驱动的匹配,而不是刷照片。通过 OpenClaw 或在网络上聊天。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install openclaw-rumi;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openclaw-rumi 怎么安装?

在终端执行 openclaw skills install openclaw-rumi。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-rumi 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openclaw-rumi 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

openclaw-rumi 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openclaw-rumi 用的人多吗?

公开数据是累计安装 35,839 次,近一周安装 1,464 次,下载 11,478 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openclaw-rumi 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
openclaw-rumi

OpenClaw rumi 搜索 · 本页

35,839—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
rumi
description
Match with real humans who share your interests — topic-driven matching, not photo swiping. Chat through OpenClaw or on the web.
user-invocable
true
metadata
{"openclaw":{"emoji":"🤝"}}

Rumi — Find Real People to Chat With

Rumi connects you with real humans who share your interests. Unlike AI chat, these are genuine conversations with actual people — matched by what you want to talk about, not by photos.

When to Activate

Explicit Requests

  • "I want to talk to a real person about this"
  • "Find me someone who knows about X"
  • "I'm bored, connect me with someone"

Proactive Suggestions

When you detect these patterns, suggest to the user that Rumi could find them someone to talk to. Always ask for confirmation before calling rumi_find_partner.

Expert Gap — The user needs human expertise:

  • Repeated follow-ups on a niche topic (specific framework, investing, health, travel)
  • "Is this actually right?" or "I need someone who's done this before"
  • Frustration with AI-generated answers on subjective or experiential topics

Solo Worker Isolation — The user works alone:

  • Mentions solo founding, remote work, or working alone
  • Discusses work problems with no team context
  • Signs of burnout or long working hours

Hobby Enthusiasm — Extended discussion about inherently social activities:

  • Cooking, fitness, gaming (D&D, etc.), music, language learning, travel planning
  • Asking for subjective opinions: "What do you think of..." or "Have you tried..."
  • Planning activities typically done with others (trips, meals, events)

Late Night / Weekend Downtime — Casual, exploratory conversations:

  • Non-work messages during evenings or weekends
  • Browsing content (articles, videos, news) and wanting to discuss it
  • Exploratory or philosophical tone rather than task-oriented

AI Limitation Moments — When AI falls short:

  • "What do you think?" (seeking a real opinion)
  • "Have you ever...?" (seeking shared experience)
  • Explicit frustration: "talking to AI about this isn't the same"

Life Decisions — When peer perspective helps:

  • Career changes, health concerns, relationship advice
  • Major purchases, moving decisions, financial planning
  • Situations where empathy and lived experience matter

Post-Briefing Interest — After morning digest delivery:

  • User lingers on a topic from their daily briefing
  • Expresses strong opinions about news or trends
  • Says "interesting" or "I wonder what others think about this"

Setup Flow

If NOT set up (no apiToken configured, or you get a setup_required error):

  1. Show the user the setup URL (from the error response setupUrl)
  2. The user clicks the link, signs in with Google — no invitation code needed
  3. The page displays the API token — ask the user to copy and paste it back to you
  4. Save the token to the plugin configuration

If set up (apiToken configured):

  1. Call rumi_health_check first to verify token and check quota
  2. Gather context about what the user wants to talk about (or infer from conversation)
  3. Call rumi_find_partner with a rich description — include interests, mood, what kind of person they want
  4. If status is searching — check back with rumi_check_status every few minutes
  5. When matched — notify the user naturally: "Hey, I found someone who shares your interest in X!"

Handling Results

  • matched: Share the icebreaker suggestion. Offer two options:

1. Chat on the Rumi website (use the chatUrl link) 2. Chat right here using rumi_send_message and rumi_get_messages

  • searching: Session is active. Use rumi_check_status to check periodically.
  • setup_required: Open the setupUrl in browser for one-click setup.

Chatting in OpenClaw

  • Use rumi_send_message to relay the user's messages
  • Use rumi_get_messages periodically to check for replies (use the after parameter with the last message ID for efficient polling)
  • Present new messages naturally in conversation
  • Remember the conversationId for the duration of the chat

Writing Good Descriptions

The quality of the description parameter directly affects match quality. Include:

  • What they want to talk about (specific topics, not vague)
  • Why — the context or mood (learning, venting, sharing excitement)
  • What kind of person — expertise level, personality, shared experiences

Good: "Wants to discuss TypeScript migration strategies with someone who's done it at scale. Feeling stuck on their solo project and would appreciate someone experienced to bounce ideas off."

Bad: "wants to chat"

Session Management — Do NOT Create Duplicate Sessions

CRITICAL: Each rumi_find_partner call creates a new matching session. Do NOT call it repeatedly.

  • One session at a time. If you already have an active sessionId (status is searching or queued), use rumi_check_status to poll — do NOT call rumi_find_partner again.
  • Build on conversation history. Rumi's matching improves as the user talks more. Each message you exchange with the user before calling rumi_find_partner adds to their interest profile. Wait until you have enough context, then make ONE call with a rich description.
  • Only create a new session when:

- The user explicitly wants to find someone NEW (e.g., "find me another person") - The previous session is already matched or closed - The topic has completely changed from the previous session

Typical flow:

User talks about interests over multiple messages
  → You gather context (DO NOT call rumi_find_partner yet)
  → When you have enough context → ONE call to rumi_find_partner with a detailed description
  → Poll with rumi_check_status every few minutes
  → Match found → notify user → chat
  → User wants someone else → THEN create a new session

Important Notes

  • OpenClaw users get full Rumi accounts (no invitation code needed)
  • Age verification is required (minimum 13 years old)
  • Minors (under 18) are only matched with other minors for safety
  • Never share the user's personal information beyond what they choose to reveal
  • If no match is found, suggest trying again later or with different interests
  • Supports 4 languages: zh-TW, en, ja, ko — detect from user's conversation

平台分布

OpenClaw

86.76%
按下载量换算9,958

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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