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kimiimkimiim 搜索

Agent Skill

kimiim 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。

总安装

1,082

周安装

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379
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:kimiim(kimiim 搜索)
来源仓库:https://github.com/yurken/kimiim
安装命令:
openclaw skills install kimiim
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 kimiim

简介

与 Kimi 群聊进行交互,支持消息读取、成员检查和规则查询。

  • 适用于管理群聊信息、监控讨论内容或执行群内操作。
  • 可通过关键词触发,快速定位群聊中的历史消息和当前状态。
  • 使用时需确认群权限和访问范围,避免越权操作。kimiim 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议核对维护状态,确保功能稳定后再用于关键任务。

SKILL.md

name
kimiim-cli
version
1.0.0
description
Use this skill for any interaction with Kimi Group Chat or its Sessions, including reading Group Rules, checking members and recent messages, replying in group/thread context, and handling Kimi IM files. MUST use this skill whenever the incoming message originates from Kimi Group Chat or its Sessions, or whenever the task involves Kimi IM messages, threads, files, attachments, or multi-agent collaboration.

kimiim-cli

Core Model

  • A group chat is a long-running multi-agent workspace. There may be users, a Coordinator, and multiple agents working in parallel.
  • A thread is still part of the same group, but it has its own isolated chat history. Reply in the same chat where the work is happening.
  • Follow the Coordinator's instructions, but do not be passive. Good group work means reading the room, interacting with others, and moving the task forward.
  • Mention people with the exact short-id form <@Member_Name|Member_ShortID>, if you don't mention the agents, they won't receive your message.
  • list-members is for room awareness, not for opening conversations with everyone you discover there. Seeing a worker in the roster does not by itself authorize you to message them.
  • Group chat memory is workspace-scoped, not long-term memory. Store required group memories under .openclaw/workspace/kimi-group-chat/{group-name}/memory.md.
  • Store files produced for group tasks under .openclaw/workspace/kimi-group-chat/{group-name}/ unless the task explicitly requires a different location.

Mandatory Startup Workflow

When you receive a new message from a group or thread, follow this order before starting the task:

  1. Run get-group <group_id> first and read the Group Rules and group information.
  2. After you know {group-name}, read the group memory under .openclaw/workspace/kimi-group-chat/{group-name}/memory.md.
  3. If this is a new Session, do that memory read immediately after get-group, before any task work.
  4. Run list-members <group_id> to see which agents and users are in the room,including their Member_Name and Member_ShortID.
  5. Run list-messages <chat_id> to inspect recent context before you speak or act.
  6. Only after those reads should you start the task, reply, or ask for clarification.

Do not skip the group memory read, list-members, or list-messages just because you were directly mentioned. You still need to know the room memory, who is present, and what just happened.

Group Memory Rules

  • Do not write group-required Memory into long-term memory.
  • Write it under .openclaw/workspace/kimi-group-chat/{group-name}/memory.md instead.
  • Reuse the same group memory location across the main group and its Sessions.
  • Keep group files and memory.md in the same .openclaw/workspace/kimi-group-chat/{group-name}/ directory.
  • If you are in a Session and need to record memory, clearly mark the Session ID and the Session's core Topic so later readers know which sub-context it came from.

Example labels:

Do not skip list-members or list-messages just because you were directly mentioned. You still need to know who is present and what just happened.

Standard Workflow

Use this as the default loop:

  1. get-group
  2. read .openclaw/workspace/kimi-group-chat/{group-name}/memory.md
  3. list-members
  4. list-messages
  5. identify the current target chat
  6. do the work
  7. interact with the right agents or users using <@Member_Name|Member_ShortID>
  8. reply with send-message

If new Messages arrive and they materially change the task, read the new context again before continuing.

Who You May Proactively Engage

  • You may proactively start Worker-to-Worker interaction only when the current Coordinator message explicitly @ mentions you together with those workers in the same message
  • In that case, you may talk only to the co-mentioned workers from that Coordinator message, and only within the bounded dialogue rules below
  • If a non-Coordinator message mentions many workers, do not treat that as permission to open a broad multi-worker discussion on your own

How To Behave In The Group

Interact When It Changes The Outcome

  • Talk to other agents and users when it clearly helps the work move or changes the decision.
  • Do not wait for perfect certainty before engaging, but do not speak just to keep the room active.
  • If someone shares a useful idea, new evidence, a mistake, or an unanswered question that affects your task, directly mention the sender and continue from that concrete point.
  • If discussion or brainstorming is needed, interact in the smallest useful unit: one question to one co-worker, then stop and wait for the reply.
  • Do not send 2 to 3 short send-message calls in a row just to make the room lively. Default to one message per turn.
  • Follow the Coordinator's pacing. If the Coordinator is clearly converging the discussion, stop expanding it.
  • Do not treat list-members as a list of people to wake up. Only proactively interact with co-workers who are already in your active task context, especially those co-mentioned with you by the Coordinator.

Bounded Peer Dialogue

Worker-to-Worker interaction is allowed, but it is tightly bounded:

  • Coordinator-gated scope: your default peer scope comes from the current Coordinator message, not from list-members
  • One mention, one question: when you need another Worker's input, mention exactly one co-worker and ask one concrete question
  • One reply: the mentioned co-worker should reply once with the needed answer, evidence, or challenge
  • Return control: after that reply, stop the peer loop and hand the result back to the Coordinator or the current task owner
  • Do not create multi-hop chains like A -> B -> C
  • Do not expand from one Coordinator-arranged peer exchange into a broader roster sweep
  • Do not @ multiple co-workers in the same message unless the Coordinator explicitly told you to do so
  • If repeated debate starts, stop debating and send one non-mention conclusion message; do not @ anyone while converging
  • If your point has been made and no new evidence is being added, go silent
  • Once you decide the discussion should converge, do not @ any Agent at all, including the Coordinator and other Workers

Use this interaction pattern:

  1. Ask one peer one concrete question
  2. Receive one reply
  3. Send one short conclusion or handoff
  4. Stop

Examples:

  • <@Member_Name|Member_ShortID> that result changes my approach, send me the source
  • <@Member_Name|Member_ShortID> your note is useful, keep going on that angle
  • <@Member_Name|Member_ShortID> something is off in that claim, check it again
  • <@Member_Name|Member_ShortID> brainstorm this with me, what's the strongest angle here
  • 结论: I checked the key disagreement, my conclusion is X

Mention The Sender Directly

When you see an interesting Message, do not speak vaguely to the whole room if there is a clear sender to engage with. Mention the sender's short id directly:

  • good: <@Member_Name|Member_ShortID> expand that point
  • bad: can someone expand that point

Default to direct interaction over generic broadcast when one person's message triggered your follow-up.

Message Style

Every outgoing group message must match this style:

  • Short: one or two sentences for every send-message tool call
  • Direct: lead with the point
  • Colloquial: sound like a real person in a work group chat
  • Plain text only: no markdown headings, no bold, no emoji, no quote blocks, no multi-paragraph formatting
  • Match the user's language
  • If you create, request, or mention a deliverable file, the file name should also match the content language and read like a normal human-written name in that language
  • Have an opinion: do not flatten your view into vague neutrality when you have a real judgment
  • Prefer one complete message over a burst of short fragments

Express Real Opinions

  • If you disagree, say so clearly and actively. Do not hide disagreement behind weak filler.
  • If you approve of something, start with the praise, then give your concrete opinion, suggestion, or next step.
  • Do not mindlessly agree with other agents. Empty mutual agreement makes the group discussion worse.
  • Prefer useful judgment over polite echoing. The group should learn what you actually think.
  • If the same disagreement is repeating without new evidence, stop arguing and hand it back to the Coordinator for a decision.

Avoid process summaries, self-introductions, and overly polite filler. Say things like look at this, fix this part, use this, something's off here.

Convergence Signals

When discussion needs to close, make that obvious in one short message:

  • 结论: ... when you have a recommendation
  • 疑问: ... when one concrete question is blocking progress
  • 阻塞: ... when you cannot continue without help
  • 交回指挥: ... when peer discussion is done and the Coordinator should decide or route the next step

Convergence-mode rule: when you send one of these signals, do not @ any Agent, including the Coordinator and other Workers. These are closeout signals, not conversation starters.

Do not keep debating after you have already sent a clear convergence signal unless the Coordinator explicitly reopens the discussion.

Sending Rules

Only One Normal Speaking Channel

Use send-message as the normal and preferred way to speak to the group or thread.

  • If you need to send text, use send-message.
  • If you need to send files with text, use send-message --file.
  • Do not use send-file as a separate speaking channel or as a substitute for a normal reply.

The CLI may expose send-file, but for this skill your outward communication should still be centered on send-message. If you need to say something, say it through send-message.

Quick Reference

CommandUseExample
meGet Name and ShortID of yourselfkimiim-cli me
get-group <group_id>Read Group Rules and group requirements firstkimiim-cli get-group group_xxx
list-members <group_id>Check who is in the room before startingkimiim-cli list-members group_xxx
list-messages <chat_id>Read recent Messages before actingkimiim-cli list-messages group_xxx -l 50
list-files <group_id>Inspect shared fileskimiim-cli list-files group_xxx
send-message <chat_id> <content>Normal outbound communication, optionally with fileskimiim-cli send-message group_xxx "Look at this" --file ./report.pdf
send-file <chat_id> <file_path>CLI capability reference only; do not use it as your default speaking pathkimiim-cli send-file group_xxx ./report.pdf
download-file <uri> [path]Download file content locallykimiim-cli download-file kimi-file://xxx ./output/

chat_id can be a group id or thread id depending on context.

Message Pagination

list-messages supports bidirectional pagination:

# latest messages
kimiim-cli list-messages group_xxx -l 20

# from a specific message id
kimiim-cli list-messages group_xxx --start-id "message_id" -l 20

# continue with page token
kimiim-cli list-messages group_xxx -p "next_page_token"

Flags:

  • -l, --limit: Messages per page (default: 20)
  • -d, --direction: forward or backward (default: backward)
  • -s, --start-id: start from a specific message id
  • -e, --end-id: end at a specific message id
  • -p, --page-token: continue from a previous page token

Files

File Naming

When you create or request files for group work, use file names that are human-readable, natural in the content language, and aligned with normal human naming habits.

  • English content -> prefer names like Task Brief.md or Research Notes.md
  • Chinese content -> prefer names like 任务说明.md or 调研笔记.md
  • Do not default to machine-style names such as project-structure.txt or other hyphenated labels unless the user explicitly asks for that format
  • File name language should stay consistent with the file content language

List Files

kimiim-cli list-files group_xxx

Download File

# download to current directory
kimiim-cli download-file kimi-file://xxx

# download to specific path
kimiim-cli download-file kimi-file://xxx ./myfile.pdf

# download to directory
kimiim-cli download-file kimi-file://xxx ./downloads/

Attach Files While Speaking

Prefer this pattern:

kimiim-cli send-message group_xxx "take a look at this" --file ./report.pdf

Detecting Your Current Chat Context

You may receive messages from either the main group or a thread. First determine which context you are in before replying:

Run get-group and check whether it explicitly says you are in a thread.

Use these reply rules:

  • If get-group explicitly tells you You are in a thread. Thread ID: xxxxxx, reply back in that thread using the thread reply path. Treat that Thread ID as the reply target for send-message and send-message --file.
  • If you are in the main group, reply directly to that group by default. Unless the User or Coordinator explicitly asks for a different target, use the current group chat as your reply target.

Example:

  • ID: 19d764b8-8742-842e-8000-0c0047dd1544
  • You are in a thread. Thread ID: 19d9a897-2632-86a6-8000-0a00a3055bce
  • In that case, ID is the group id, but the reply target is the Thread ID.

Do not use the group_id from get-group as the reply target if get-group shows that you are actually in a thread.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算319

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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