multi-channel-engagement-agentAutonomous 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.
Install via ClawdBot CLI:
clawdbot install story91/multi-channel-engagement-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.PRIVATEPotentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://clawhub.com/skills/farcaster-agentUses known external API (expected, informational)
discord.comGenerated Mar 21, 2026
A new blockchain project uses the agent to engage with trending posts about DeFi, NFTs, and layer-2 solutions on Twitter and Farcaster. It generates educational replies to explain technical features, driving authentic discussions and attracting early adopters from multiple platforms simultaneously.
A digital marketing agency deploys the agent for clients in tech or gaming industries to automate replies to viral content. It filters posts by keywords, applies brand-specific personas, and tracks engagement metrics to build audience presence without manual effort across Twitter and Moltbook.
An independent content creator focusing on web3 tutorials uses the agent to reply to trending discussions on Farcaster and Twitter. It provides value-added insights or questions, fostering community interaction and increasing visibility to grow their follower base organically.
A conference organizer for a tech event leverages the agent to engage with posts about related topics like AI or crypto. It replies with event details or networking prompts, using persona-driven humor or community vibes to boost registrations and real-time interaction during the event period.
A SaaS company in fintech uses the agent to monitor and reply to customer mentions on Twitter and Moltbook. It filters for feedback or questions, generates helpful contextual responses, and tracks duplicates to provide timely support while gathering insights for product improvements.
Offer tiered monthly plans for businesses, with pricing based on the number of platforms, reply volume, and advanced features like analytics tracking or webhook notifications. Revenue scales with client usage and customization needs, targeting small to medium enterprises.
Partner with marketing agencies to white-label the agent for their clients, charging a setup fee and ongoing management retainer. Revenue comes from service fees and upsells for persona customization or integration with other tools like CRM systems.
Provide a free tier with limited platforms and reply frequency, then monetize through premium upgrades for features like user blacklist/whitelist, quote tweet support, or higher rate limits. Revenue is generated from individual users or small teams upgrading for enhanced capabilities.
💬 Integration Tip
Start with one platform like Twitter using AISA API for trending discovery to simplify setup, then gradually add Farcaster and Moltbook as you gain confidence with credentials and state tracking.
Scored Jun 19, 2026
AI Analysis
The skill requires legitimate API credentials for its stated purpose of multi-platform social engagement and provides standard setup instructions. While it accesses sensitive credentials and uses external APIs, these are documented and consistent with the skill's functionality. No evidence of hidden malicious instructions, credential harvesting, or data exfiltration was found in the provided content.
Audited Apr 18, 2026 · audit v1.0
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