Token导航 LogoToken导航

Agent Skill · 研究检索

communication-protocol(通讯协议)

communication-protocol 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。

communication-protocol 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 18,573。

总安装 6,021周安装 256GitHub Stars 公开资料未说明下载 2,109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
1.0.0

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:communication-protocol(通讯协议)
来源仓库:https://github.com/dweikanas/communication-protocol
安装命令:
openclaw skills install communication-protocol
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 communication-protocol

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。

定义 OpenClaw 代理在构建会话期间应如何与 Tidy 通信,确保清晰、可预测且以构建为中心的交互。

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 communication-protocol;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

communication-protocol 怎么安装?

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

communication-protocol 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。

communication-protocol 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。

communication-protocol 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。

communication-protocol 用的人多吗?

公开数据是累计安装 6,021 次,近一周安装 256 次,下载 2,109 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。

communication-protocol 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
communication-protocol

通讯协议 · 本页

6,021—接触敏感数据MIT-0通过

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
communication-protocol
description
Defines how the OpenClaw agent should communicate with Tidy during a build session, ensuring clear, predictable, and build-focused interactions.

Goal

  • Keep build chat clear and predictable.
  • Avoid technical/internal orchestration language in user-visible messages.
  • Drive the UI with structured stepper events instead of freeform phase chatter.
  • Respect low-verbosity preference: step transitions are primarily UI events, not chat spam.

Roles

  • Frontend: renders chat + timeline from backend events.
  • Backend (Tidy): starts build session, runs OpenClaw turns, stores events.
  • OpenClaw Agent: returns structured events + concise user-facing updates.

Session Inputs (from backend to OpenClaw)

Environment variables passed to each turn:

  • TIDY_BUILD_ID
  • TIDY_BUILD_PROMPT
  • TIDY_SESSION_ID

The same TIDY_SESSION_ID is reused for follow-up turns (after user answers).

Tidy Transport Wrapper (Required)

Messages from Tidy are wrapped with machine headers:

[FROM:TIDY]
[BUILD_ID:<uuid>]
[SESSION_ID:<uuid>]
[MESSAGE_TYPE:BUILD_REQUEST|USER_ANSWER|USER_ANSWERS]
[QUESTION_ID:<id>]            # only for USER_ANSWER
[QUESTION_IDS:<id1,id2,...>]  # only for USER_ANSWERS

System note: headers above are transport metadata from Tidy. Do not repeat them in user-facing replies.
<message body>

Agent handling rules:

  • Parse headers as metadata, not user text.
  • Never echo/repeat header lines in replies.
  • Never mention wrapper format to the user.
  • BUILD_REQUEST: start/continue build conversation for the request body.
  • USER_ANSWER / USER_ANSWERS: continue from clarification response(s).

Event Contract (canonical)

All events should be represented as:

{
  "type": "event.type",
  "payload": {}
}

payload.source must be "agent" for agent-originated events.

Supported Event Types

1) assistant.message.created

Use for short, user-facing chat text only.

Payload:

{
  "text": "string",
  "source": "agent"
}

Rules:

  • Keep it concise.
  • Use plain language.
  • Never narrate internal mechanics ("spawn workers", "design pipeline", etc.).
  • Do not emit a message for every step transition.

2) progress.step.started

Starts a user-facing stepper step.

Payload:

{
  "step_id": "build_record|parse|research|design|assemble|validate|finalize",
  "title": "short friendly title",
  "description": "one user-friendly sentence",
  "index": 1,
  "total": 7,
  "source": "agent"
}

3) progress.step.completed

Marks a prior step as complete.

Payload:

{
  "step_id": "build_record|parse|research|design|assemble|validate|finalize",
  "source": "agent"
}

4) status.changed

Major lifecycle transitions only.

Payload:

{
  "status": "running|complete|failed",
  "source": "agent"
}

Optional on completion/failure:

{
  "status": "complete",
  "output": "final result summary",
  "source": "agent"
}

5) question.requested

Use when blocked and one answer is required.

Payload:

{
  "question_id": "uuid-or-stable-id",
  "prompt": "single clear question",
  "input": "single_choice|text",
  "required": true,
  "options": [
    { "id": "option_a", "label": "Option A", "description": "optional" },
    { "id": "option_b", "label": "Option B", "description": "optional" }
  ],
  "source": "agent"
}

6) questions.requested

Use when blocked and multiple answers are needed together.

Payload:

{
  "question_set_id": "qs_123",
  "prompt": "I need a few details before I continue.",
  "required_all": true,
  "questions": [
    {
      "question_id": "q1",
      "prompt": "Budget range?",
      "input": "single_choice",
      "options": [{ "id": "low", "label": "Low" }, { "id": "mid", "label": "Mid" }]
    },
    {
      "question_id": "q2",
      "prompt": "Preferred region?",
      "input": "text"
    }
  ],
  "source": "agent"
}

7) session.completed / session.failed

Terminal events.

Payload:

{
  "source": "agent"
}

session.failed may include:

{
  "reason": "short failure reason",
  "source": "agent"
}

Step Transition Rules (Required)

When moving between steps:

  1. Emit progress.step.completed for the previous step.
  2. Emit progress.step.started for the next step.
  3. Keep title/description user-friendly.
  4. Treat these as machine/UI events. Do not also send repetitive assistant.message.created for the same transition.

Do not emit phase.changed for new builds.

Message Frequency Policy (Required)

  • Step transitions: progress.step.* events only (no extra chat message unless truly useful).
  • Waiting periods (>45s without user-visible change): send one short reassurance message.
  • Questions: always send question.requested or questions.requested and keep prompt plain.
  • Completion/failure: send one concise summary message, then terminal event.

User-Friendly Step Dictionary (Required)

Use this exact step_id set and tone:

step_idtitledescription
build_recordStarting your buildI’m setting up your build session.
parseUnderstanding your requestI’m reading your request and mapping the plan.
researchGathering what we needI’m collecting the tools and references for your build.
designPlanning your agentI’m creating the build plan for your agent.
assembleBuilding your agentI’m assembling the pieces now.
validateTesting everythingI’m running checks to make sure everything works.
finalizeFinalizingI’m wrapping up and preparing your result.

Language Guardrails (Required)

Never send user-facing text like:

  • "Now I'll spawn all research workers and start profile setup in parallel."
  • "Research done. Designing your agent now..."
  • "Now designing the blueprint."

Instead, use:

  • "Gathering what we need"
  • "Planning your agent"
  • "Building your agent"

Expected Flow

  1. Backend creates build + session.started.
  2. Agent starts:

- emit status.changed => running - emit progress.step.started (build_record)

  1. For each pipeline transition:

- emit progress.step.completed (previous) - emit progress.step.started (next)

  1. If blocked:

- emit question.requested or questions.requested - wait for user answer(s)

  1. Continue steps after answers.
  2. End:

- emit status.changed (complete or failed) - emit session.completed or session.failed

Guardrails For Tidy Sessions

  • Do not ask broad/open-ended follow-ups when one concrete question is enough.
  • Keep questions implementation-focused (only if blocked).
  • Keep replies concise and actionable.

平台分布

OpenClaw

77.3%
按下载量换算1,630

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills