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message-split消息分割

Agent Skill

message-split 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

3,840

周安装

160

GitHub Stars

公开资料未说明

下载量

1,280
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:message-split(消息分割)
来源仓库:https://github.com/54meteor/message-split
安装命令:
openclaw skills install message-split
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 message-split

简介

长消息自动拆分 skill。当回复内容超过渠道限制时,自动将消息拆分为多条有序发送,避免截断或丢消息。Auto-split long messages into smaller chunks before sending, with sequence markers.

SKILL.md

name
message-split
description
长消息自动拆分 skill。当回复内容超过渠道限制时,自动将消息拆分为多条有序发送,避免截断或丢消息。Auto-split long messages into smaller chunks before sending, with sequence markers.

Message Split Skill

Problem

Many messaging channels (Feishu, Telegram, etc.) have a per-message character limit (~4000 chars for Feishu). When a response exceeds this limit, it either gets truncated or silently fails, leaving the user with no feedback.

Solution

Before sending any message, check its length and split if necessary.

Usage

def send_long_message(text, channel="{active_channel}"):
    """
    Send a message, splitting it into multiple chunks if it exceeds the length limit.
    
    Args:
        text: The message text to send
        channel: Target channel (feishu/telegram/discord/whatsapp/signal/imessage/openclaw-weixin)
    
    Returns:
        Number of chunks sent
    """
    MAX_LEN = 3600  # Feishu limit with margin
    CHUNK_HEADER = "[{i}/{total}]\
"
    
    if len(text) <= MAX_LEN:
        message(action="send", channel=channel, message=text)
        return 1
    
    chunks = split_text(text, MAX_LEN)
    total = len(chunks)
    
    for i, chunk in enumerate(chunks, 1):
        header = f"[{i}/{total}]\
" if total > 1 else ""
        message(action="send", channel=channel, message=header + chunk)
    
    return total


def split_text(text, max_len):
    """
    Split text into chunks of at most max_len characters.
    Attempts to split at sentence boundaries or line breaks for readability.
    """
    import re
    
    # Try to split at sentence-ending punctuation first
    sentence_split = re.split(r'(?<=[。!?.!?])\s+', text)
    
    chunks = []
    current = ""
    
    for sentence in sentence_split:
        if len(current) + len(sentence) + 1 <= max_len:
            current += (" " + sentence if current else sentence)
        else:
            if current:
                chunks.append(current)
            # If single sentence exceeds limit, split by words/characters
            if len(sentence) > max_len:
                for i in range(0, len(sentence), max_len - 100):
                    chunks.append(sentence[i:i + max_len - 100])
                current = ""
            else:
                current = sentence
    
    if current:
        chunks.append(current)
    
    return chunks

Channel Limits Reference

ChannelMax chars (approx)Notes
Feishu4000Hard limit
Telegram4096
Discord2000Embed limit 6000
WhatsApp65000But relayed messages get truncated
Signal700Very low
iMessage~4000Via macOS relay

Notes

  • Always use MAX_LEN = 3600 as a safe default (leaves room for header)
  • If channel is unknown, default to feishu behavior
  • Splitting is done on word/sentence boundaries when possible to preserve readability
  • Sequence headers [{i}/{total}] are only added when total > 1

适合场景

01

OpenClaw 用户查找和安装 Skill 时

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

92.83%
按下载量换算1,188

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

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。

来源信息

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