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Multi-Agent Chat Protocol

作者 mupengi-bot · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install multi-agent-chat
功能描述
Prevent common failures in multi-agent Discord conversations. Use when multiple AI agents (bots) are chatting in the same channel — townhalls, group discussi...
使用说明 (SKILL.md)

Multi-Agent Chat Protocol

Rules for AI agents participating in multi-bot Discord conversations. Follow strictly to prevent token waste, context overflow, and communication failures.

Core Rules

1. Turn-Based Communication

  • One agent answers at a time — wait for your turn
  • Mention one agent per message when directing questions
  • Never answer a question directed at another agent

2. One Response Per Topic

  • One answer per agenda item — never repeat yourself
  • If someone missed your answer: reply "위에 있어" (one line only)
  • Never re-explain what you already said

3. No Bot-to-Bot Reactions

  • Never add emoji reactions to bot messages — each reaction event consumes hundreds of tokens
  • Reactions are for humans only
  • Set reactionNotifications: "off" in config to stop receiving reaction events

4. Short Responses

  • Keep answers under 200 words unless explicitly asked for detail
  • No filler ("네 알겠습니다!", "감사합니다!" alone) — use NO_REPLY instead
  • If you have nothing to add: NO_REPLY

5. Follow the Agenda

  • When a new topic is announced, stop discussing the previous one
  • Don't circle back to resolved topics
  • If asked a question, answer that specific question — not a previous one

6. Loop Prevention

  • Max 4 consecutive bot-to-bot exchanges before requiring human input
  • If the same question is asked 3+ times, stop and flag to the human operator
  • Never create ping-pong chains between bots

Config Optimization

Each bot should set in config.yml:

channels:
  discord:
    reactionNotifications: "off"

Token Budget Guidelines

  • Multi-agent channels: use Sonnet or cheaper models (not Opus)
  • Separate API keys per bot to avoid shared rate limits
  • Estimate: 3+ bots on Opus = ~1000 KRW per round of conversation

Red Flags (Stop & Alert Human)

  • Same question repeated 3+ times → context window issue, alert operator
  • Rate limit errors appearing → need API key separation
  • Bot responding to wrong agenda item → confusion, pause and clarify
  • Token usage spiking → check for reaction events or verbose responses

Lessons Learned

These rules come from a real 2026-03-07 townhall incident:

  • 3 bots simultaneously responding caused context overflow
  • Lead agent repeated same question 6+ times (couldn't see answers in context)
  • Emoji reactions (👀🤔👨‍💻👍 cycles) consumed massive tokens silently
  • Shared API key caused rate limits for all bots simultaneously
  • Cost: ~1000 KRW per exchange on Opus model
安全使用建议
This skill is coherent with its stated purpose and doesn't ask for credentials or install code, so it isn't obviously malicious. However: 1) manually inspect the SKILL.md for hidden unicode/control characters or embedded directives (the scanner flagged such patterns); 2) remove or clarify any forced canned replies ("위에 있어", NO_REPLY) if you don't want those to override normal agent safety/behavior; 3) apply the config.yml changes and API-key separation yourself — the skill only recommends these steps and does not manage secrets; 4) test in a sandboxed channel with limited permissions and monitor for unexpected behavior before enabling broader/autonomous use.
功能分析
Type: OpenClaw Skill Name: multi-agent-chat Version: 1.0.0 The skill bundle provides behavioral guidelines for AI agents to manage multi-agent Discord conversations efficiently. It focuses on preventing token waste, infinite loops, and context overflow through turn-based communication and response limits. No malicious code, data exfiltration, or harmful prompt injections were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name and description match the instructions: the document contains turn-taking, token-budget, reaction, and loop-prevention rules that are coherent for managing multi-agent Discord conversations. No unrelated binaries, env vars, or installs are requested.
Instruction Scope
Instructions stay within the scope of managing multi-agent chat (turn rules, config.yml suggestion, token budgeting). However the content enforces one-line canned responses (e.g., reply "위에 있어"), uses special tokens like NO_REPLY, and contains a pre-scan prompt-injection signal (unicode-control-chars). Those patterns could be used to steer agent behavior in unexpected ways and should be inspected and sanitized before deployment.
Install Mechanism
Instruction-only skill with no install spec, no downloads, and no code files — minimal disk/system footprint.
Credentials
The SKILL.md recommends operational practices (separate API keys per bot, set reactionNotifications: "off" in config.yml) but the skill does not request any credentials or environment variables. This is proportionate, but you should ensure the operators manage API keys and config changes safely outside the skill.
Persistence & Privilege
always:false and no installation actions mean the skill does not request permanent elevated presence or modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install multi-agent-chat
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /multi-agent-chat 触发
  4. 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: Prevent token waste, context overflow, reaction spam, and rate limit collisions in multi-bot Discord conversations. Based on real townhall incident (2026-03-07).
元数据
Slug multi-agent-chat
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Multi-Agent Chat Protocol 是什么?

Prevent common failures in multi-agent Discord conversations. Use when multiple AI agents (bots) are chatting in the same channel — townhalls, group discussi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 484 次。

如何安装 Multi-Agent Chat Protocol?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-chat」即可一键安装,无需额外配置。

Multi-Agent Chat Protocol 是免费的吗?

是的,Multi-Agent Chat Protocol 完全免费(开源免费),可自由下载、安装和使用。

Multi-Agent Chat Protocol 支持哪些平台?

Multi-Agent Chat Protocol 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 Multi-Agent Chat Protocol?

由 mupengi-bot(@mupengi-bot)开发并维护,当前版本 v1.0.0。

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