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在 OpenClaw 中安装
/install message-chunker
功能描述
智能消息分段工具。自动将长消息拆分成多条发送，避免飞书API消息长度限制。当需要发送长消息（如汇报、方案、日志）时自动激活。
安全使用建议
This skill is instruction-only and internally consistent with its stated purpose. Before installing, verify how your agent sends messages (so you know which messaging integration/credentials will be used) and test behavior with non-sensitive content. Pay attention to retry rules (the doc suggests retrying on Status 400 — you may want to adjust that to avoid repeated client-error retries), decide where the "failure queue" should be stored, and set appropriate maxChunkSize and continuation markers to avoid confusing recipients. If you need stricter behavior (e.g., never splitting tables or excluding sensitive sections), update the configuration in your TOOLS.md and test thoroughly. If you rely on automated sending, ensure the agent's messaging permissions and rate limits are acceptable.
功能分析
Type: OpenClaw Skill
Name: message-chunker
Version: 1.0.0
The 'message-chunker' skill is a utility designed to help an AI agent split long text responses into smaller segments to comply with platform-specific message length limits (e.g., Feishu, Telegram). The bundle consists entirely of documentation and configuration files (SKILL.md, config.yaml, README.md) with no executable code, network activity, or instructions that would lead to data exfiltration or unauthorized access.
能力评估
Purpose & Capability
Name/description (split long messages for platforms like Feishu) aligns with the provided files and runtime instructions; it does not request unrelated credentials, binaries, or config paths.
Instruction Scope
SKILL.md contains only chunking rules, triggers, simple retry guidance, and configuration pointers (TOOLS.md). It does not instruct reading arbitrary files, accessing unrelated environment variables, or sending data to external endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only), so nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. That is proportionate: chunking logic can run using the agent's existing messaging capabilities without extra secrets.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or elevated privileges. Behavior described is limited to message-sending logic within the agent's normal operation.
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 message-chunker - 安装完成后，直接呼叫该 Skill 的名称或使用
/message-chunker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 of "message-chunker": an intelligent tool for splitting long messages into multiple parts to avoid Feishu API length limits.
- Automatically triggers when messages exceed 4000 characters, include multiple sections/tables, or message send fails.
- Supports platform-specific length limits for Feishu, Telegram, Discord, and WhatsApp.
- Flexible chunking by section, table, or paragraph, with both automatic and manual chunk markers.
- Configurable behavior via TOOLS.md, including chunk size and splitting preferences.
元数据
常见问题
message-chunker 是什么？
智能消息分段工具。自动将长消息拆分成多条发送，避免飞书API消息长度限制。当需要发送长消息（如汇报、方案、日志）时自动激活。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 362 次。
如何安装 message-chunker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install message-chunker」即可一键安装，无需额外配置。
message-chunker 是免费的吗？
是的，message-chunker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
message-chunker 支持哪些平台？
message-chunker 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 message-chunker？
由 Code:Z（@as9530272755）开发并维护，当前版本 v1.0.0。
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