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

Agent Skill

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。

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GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

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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: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。

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ClawHubOpenClaw
openclaw skills install multi-channel-engagement-agent

简介

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。

SKILL.md

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

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