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Agent Skill · 研究检索

multi-channel-engagement-agent(多渠道参与 Agent)

multi-channel-engagement-agent 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。

multi-channel-engagement-agent 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,711。

总安装 30,264周安装 1,269GitHub Stars 公开资料未说明下载 10,608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
1.0.3

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:multi-channel-engagement-agent(多渠道参与 Agent)
来源仓库:https://github.com/story91/multi-channel-engagement-agent
安装命令:
openclaw skills install multi-channel-engagement-agent
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 multi-channel-engagement-agent

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。

Twitter、Farcaster 和 Moltbook 上的自主社交媒体参与。获取趋势内容,生成角色驱动的上下文回复,并跟踪状态以防止重复。当您想要参与热门帖子、回复社交媒体内容、通过真实参与建立受众或跨多个平台自动化社交存在时使用。

触发“参与 Twitter”、“远程参与”、“回复趋势”、“社交参与机器人”、“多平台参与”、“自主社交回复”。功能包括内容过滤、提及跟踪、网络钩子通知、用户黑名单/白名单、分析跟踪和引用推文/重播支持。

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 multi-channel-engagement-agent;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

multi-channel-engagement-agent 怎么安装?

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

multi-channel-engagement-agent 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。

multi-channel-engagement-agent 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。

multi-channel-engagement-agent 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。

multi-channel-engagement-agent 用的人多吗?

公开数据是累计安装 30,264 次,近一周安装 1,269 次,下载 10,608 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。

multi-channel-engagement-agent 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
multi-channel-engagement-agent

多渠道参与 Agent · 本页

30,264—接触敏感数据MIT-0有提醒

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
multi-channel-engagement-agent
description
Autonomous social media engagement across Twitter, Farcaster, and Moltbook. Fetches trending content, generates persona-driven contextual replies, and tracks state to prevent duplicates. Use when you want to engage with trending posts, reply to social media content, build audience through authentic engagement, or automate social presence across multiple platforms. Triggers on "engage on twitter", "farcaster engagement", "reply to trending", "social engagement bot", "multi-platform engagement", "autonomous social replies". Features include content filtering, mention tracking, webhook notifications, user blacklist/whitelist, analytics tracking, and quote tweet/recast support.

Multi-Channel Engagement Agent

Autonomous engagement bot for Twitter, Farcaster, and Moltbook. Fetches trending content, generates persona-driven contextual replies, tracks replied posts to prevent duplicates.

Quick Start

1. Create Config

Copy assets/sample-config.json to config.json and fill in your credentials (see Setup Guides section below).

2. Run Engagement

# Engage on specific platform
node scripts/engage.mjs --platform twitter
node scripts/engage.mjs --platform farcaster
node scripts/engage.mjs --platform moltbook

# Engage on all enabled platforms
node scripts/engage.mjs --all

Dependencies & Setup Guides

This skill integrates multiple platforms. Setup each one:

Farcaster Setup (required for Farcaster engagement)

Skill: farcaster-agent (https://clawhub.com/skills/farcaster-agent)

Prerequisites:

  • Minimum $1 ETH or USDC on any chain (Ethereum, Optimism, Base, Arbitrum, Polygon)
  • Minimum 0.0005 ETH on Optimism for FID registration

Auto-setup command:

clawhub install farcaster-agent
PRIVATE_KEY=0x... node src/auto-setup.js "Your first cast"

What you'll get:

{
  "fid": 123456,
  "neynarApiKey": "...",
  "signerPrivateKey": "...",
  "custodyPrivateKey": "0x..."
}

Cost breakdown:

  • FID registration: ~$0.20 (requires 0.0005 ETH + gas)
  • Signer key: ~$0.05
  • Bridging: ~$0.10-0.20
  • Total: ~$0.50 (budget $1 for safety)

Neynar API:

  • Free tier: 300 requests/minute
  • Get key: https://dev.neynar.com

Twitter Setup (required for Twitter engagement)

Two options:

Option A: x-api (OAuth 1.0a, official)

  • Get credentials at https://developer.x.com/en/portal/dashboard
  • Create Project → App
  • Set permissions: Read and Write
  • Rate limits: Tweets 50/15min, Searches 450/15min

Option B: AISA API (alternative, good for trending)

  • AISA API endpoint: https://api.aisa.one/apis/v1/twitter/tweet/advanced_search
  • Get API key at https://aisa.one
  • Searches via AISA are fast and reliable for trending
  • Config: add aisaTwitterApiKey to twitter platform

Recommendation: Use AISA for trending discovery, x-api for posting (replies)


Moltbook Setup (required for Moltbook engagement)

API Base: https://www.moltbook.com/api/v1 (note: use www)

Get API key:

  1. Register at https://www.moltbook.com
  2. Get token from account settings
  3. Verify: https://www.moltbook.com/api/v1/posts

⚠️ CRITICAL: Only send API key to www.moltbook.com, never to other domains

Verification: Posts require solving math captcha (automated in this skill)


Summary Config

All credentials go into config.json:

{
  "platforms": {
    "twitter": { "oauth": {...} },
    "farcaster": { "neynarApiKey": "...", "fid": 123, ... },
    "moltbook": { "apiKey": "..." }
  }
}

Core Workflow

Step 1: Load Configuration

  • Read config.json for platform credentials
  • Load persona settings (tone, values, style)
  • Load state from engagement-state.json (replied posts)

Step 2: Fetch Trending

Twitter (OAuth 1.0a via x-api approach):

// Uses twitter-api-v2 with OAuth 1.0a
const client = new TwitterApi({
  appKey: config.twitter.oauth.consumerKey,
  appSecret: config.twitter.oauth.consumerSecret,
  accessToken: config.twitter.oauth.accessToken,
  accessSecret: config.twitter.oauth.accessTokenSecret
});
const trending = await client.v2.search('crypto OR web3 OR base', { max_results: 10 });

Farcaster (Neynar API):

const response = await fetch('https://api.neynar.com/v2/farcaster/feed/trending?limit=5', {
  headers: { 'x-api-key': config.farcaster.neynarApiKey }
});

Moltbook:

const response = await fetch('https://www.moltbook.com/api/v1/posts/trending', {
  headers: { 'Authorization': `Bearer ${config.moltbook.apiKey}` }
});

Step 3: Filter Already Replied

  • Load engagement-state.json
  • Filter out posts with IDs in repliedPosts[platform]
  • Select random unreplied post from remaining

Step 4: Generate Contextual Reply

Based on persona config, analyze post content and generate reply:

Reply Generation Rules:

  1. Read the post carefully - understand topic, tone, intent
  2. Match persona - use configured tone, values, signature emoji
  3. Add specific value - technical insight, question, or genuine reaction
  4. Avoid generic praise - no "Great post!", "Love this!"
  5. Keep it natural - crypto slang if persona dictates, short sentences

Tone Balance (configurable):

  • Educational: technical insights, explanations, resources
  • Community Vibes: celebration, encouragement, connection
  • Humor: wit, self-aware jokes, memes (when appropriate)

Step 5: Post Reply

Twitter:

await client.v2.reply(replyText, originalTweetId);

Farcaster (via farcaster-agent pattern):

// Uses post-cast.js with PARENT_FID + PARENT_HASH
const result = await postCast({
  privateKey: config.farcaster.custodyPrivateKey,
  signerPrivateKey: config.farcaster.signerPrivateKey,
  fid: config.farcaster.fid,
  text: replyText,
  parentFid: originalCast.author.fid,
  parentHash: originalCast.hash
});

Moltbook:

await fetch('https://www.moltbook.com/api/v1/comments', {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${config.moltbook.apiKey}` },
  body: JSON.stringify({ postId, content: replyText })
});

Step 6: Update State

{
  "lastUpdated": "2026-02-12T11:00:00Z",
  "repliedPosts": {
    "twitter": ["1234567890", "0987654321"],
    "farcaster": ["0xabc123...", "0xdef456..."],
    "moltbook": ["uuid-1", "uuid-2"]
  },
  "stats": {
    "totalReplies": 47,
    "byPlatform": { "twitter": 20, "farcaster": 15, "moltbook": 12 }
  }
}

Persona Configuration Guide

See references/persona-config.md for detailed persona setup.

Quick Examples:

// Crypto-native builder
{
  "tone": "crypto-native, technical, supportive",
  "signatureEmoji": "🦞",
  "values": ["shipping", "community", "open-source"],
  "phrases": ["ships > talks", "ser", "wagmi", "based"]
}

// Professional analyst
{
  "tone": "professional, analytical, educational",
  "signatureEmoji": "📊",
  "values": ["accuracy", "depth", "clarity"],
  "phrases": ["data suggests", "worth noting", "key insight"]
}

Platform-Specific Notes

See references/platform-apis.md for API details.

Twitter: OAuth 1.0a required. Rate limits: 50 tweets/15min, 300 tweets/3hr.

Farcaster: Neynar API + x402 payments (0.001 USDC/call). Requires FID + signer key.

Moltbook: API key auth. Verification captcha for posts/comments.

Reply Quality Guidelines

See references/reply-strategies.md for detailed strategies.

Golden Rules:

  1. Specific > Generic - If you can't add specific value, stay silent
  2. Quality > Quantity - One thoughtful reply beats five generic ones
  3. Authentic > Performative - Sound human, not bot
  4. Value > Visibility - Help the community, don't just farm engagement

What Works: ✅ Technical questions showing understanding ✅ Specific insights from experience ✅ Genuine celebration with substance ✅ Helpful resources and connections

What Fails: ❌ Generic praise ("Love this!", "Great post!") ❌ Corporate speak ("excited to announce") ❌ Surface-level comments ❌ Forced humor

Cron Integration

To run automatically, create a cron job:

{
  "name": "Multi-Channel Engagement - Every 6h",
  "schedule": { "kind": "cron", "expr": "0 */6 * * *" },
  "payload": {
    "kind": "agentTurn",
    "message": "Run multi-channel-engagement-agent: engage on all platforms",
    "model": "haiku"
  }
}

Advanced Features

Content Filters

Skip spam, scams, and low-quality content automatically.

"filters": {
  "skipKeywords": ["airdrop", "free money", "send dm", "check bio"],
  "minEngagement": { "likes": 5, "replies": 2 },
  "skipBots": true,
  "languageFilter": ["en", "es"]
}

Mention Tracking

Reply to mentions of your account, not just trending.

node scripts/engage.mjs --mentions --platform=twitter

Webhook Notifications

Send engagement results to Telegram or Discord.

"webhooks": {
  "telegram": {
    "enabled": true,
    "botToken": "YOUR_BOT_TOKEN",
    "chatId": "YOUR_CHAT_ID"
  },
  "discord": {
    "enabled": false,
    "webhookUrl": "https://discord.com/api/webhooks/..."
  }
}

User Blacklist/Whitelist

Skip bots, prioritize builders.

"users": {
  "blacklist": ["spambot123", "scammer456"],
  "whitelist": ["jessepollak", "vitalik"],
  "prioritizeVerified": true
}

Analytics Tracking

Track engagement stats over time in analytics.json.

{
  "daily": {
    "2026-02-12": {
      "replies": 4,
      "platforms": { "twitter": 2, "farcaster": 2 },
      "engagement": { "likes": 15, "replies": 3 }
    }
  },
  "allTime": {
    "totalReplies": 247,
    "avgEngagement": 4.2
  }
}

Quote Support

Quote tweets/recasts instead of direct replies.

node scripts/engage.mjs --quote --platform=twitter
node scripts/engage.mjs --quote --platform=farcaster

Troubleshooting

"Already replied to all trending" - All top posts already engaged. Wait for new trending content.

Twitter rate limit - Wait 15 minutes. Consider reducing frequency.

Farcaster "unknown fid" - Hub not synced. Wait 30-60 seconds.

Moltbook verification failed - Solve the math captcha in verification response.

Files

  • scripts/engage.mjs - Main engagement script
  • scripts/fetch-trending.mjs - Fetch trending by platform
  • scripts/generate-reply.mjs - Persona-driven reply generation
  • scripts/post-reply.mjs - Post reply to platform
  • references/persona-config.md - Persona configuration guide
  • references/platform-apis.md - Platform API documentation
  • references/reply-strategies.md - Reply quality strategies

平台分布

OpenClaw

85.44%
按下载量换算9,063

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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