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story91

Multi-Channel Engagement Agent

by Story91 · GitHub ↗ · v1.0.3
cross-platform ⚠ suspicious
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Install in OpenClaw
/install 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.
Usage Guidance
Key things to consider before installing or running this skill: - Metadata mismatch: The registry claims no required secrets, but the code needs Twitter OAuth tokens, Farcaster keys (custody + signer + fid + neynarApiKey), and a Moltbook API key. Treat this as a red flag and only proceed if you understand and accept supplying those secrets. - Private keys & money: The skill asks for custody/signer private keys and even instructs an auto-setup that spends on-chain funds. Only use dedicated, low-value wallets with minimal funds for testing; do not supply your primary keys. - Command/secret exposure: The script builds a shell command string (execSync) that embeds environment variables and the generated reply text. That can: (a) allow command injection if reply text is not fully escaped, and (b) expose secrets via command-line arguments or shell history/process listings/logs. Prefer a safer invocation (passing env via process.env or child_process.spawn with env object, avoid interpolating secrets into command strings). - Audit external dependencies: The code execs 'skills/farcaster-agent/src/post-cast.js' — install and review that skill's code before using it. The SKILL.md recommends installing external services (neynar, aisa.one) — review their terms and trustworthiness. - Platform-specific quirks: The execSync call uses 'powershell.exe' shell syntax; that will fail on non-Windows hosts and affects how arguments must be escaped. Test in a controlled environment. - Hardening recommendations: update registry metadata to declare required env vars; don't pass private keys via command line; sanitize/escape reply text robustly; avoid execSync where possible (use child_process.spawn with env object); run the skill in an isolated VM/container; require explicit user confirmation before any on-chain payment or autonomous posting; and rotate keys after testing. If you are not comfortable auditing code or managing secret leakage risk, do not provide real private keys and instead test with mocked/readonly credentials or dedicated throwaway accounts.
Capability Analysis
Type: OpenClaw Skill Name: multi-channel-engagement-agent Version: 1.0.3 The skill is classified as suspicious due to a critical shell injection vulnerability in `scripts/engage.mjs`. The `child_process.execSync` function is used to execute a PowerShell command for Farcaster replies, incorporating `replyText` (which can be influenced by external trending post content) with insufficient sanitization. This flaw could allow an attacker to achieve Remote Code Execution (RCE) and potentially exfiltrate sensitive Farcaster private keys that are passed as environment variables to the vulnerable child process. Additionally, the `solveMathChallenge` function uses `Function(...)()` for dynamic code execution, albeit with strict input sanitization, which is another point of concern.
Capability Assessment
Purpose & Capability
The package claims no required env vars/config paths in registry metadata, but the SKILL.md and code clearly require Twitter OAuth tokens, Farcaster keys (custodyPrivateKey, signerPrivateKey, fid, neynarApiKey), and a Moltbook API key in a config.json. That mismatch (metadata says 'none' while runtime needs many secrets) is incoherent and could mislead users.
Instruction Scope
Runtime instructions and the code read/write local state files and config.json (expected), call external APIs (expected), and instruct installing/running another skill (farcaster-agent) which will perform blockchain writes and cost money. The code uses execSync to invoke another skill via a constructed shell command that embeds environment variables and reply text into the command line—this gives rise to command injection and secret-exposure risks. The SKILL.md also suggests auto-setup that requires providing private keys and funding wallets (real-money operations) — this is within the feature scope but dangerous and should be made explicit to end users.
Install Mechanism
No install spec (instruction-only), so nothing is automatically downloaded at install time—lower supply-chain risk. However the skill instructs users to run `clawhub install farcaster-agent` and later execSyncs into 'skills/farcaster-agent/src/post-cast.js', so it depends on another skill being present; that external install should be audited. No direct downloads from untrusted URLs in the provided files.
Credentials
The credentials requested by the code (OAuth tokens, API keys, custody/signer private keys) are proportionate to the stated capability (posting/replying requires these). But the registry metadata does not declare any required secrets, creating a visibility gap. Also requesting custody private keys (wallet control) is highly sensitive—users should only provide keys for a dedicated low-value wallet. The skill also suggests paying small on-chain fees during auto-setup; that financial action increases the sensitivity of providing keys.
Persistence & Privilege
always:false and no system-wide config changes are requested. The skill reads/writes local state files (engagement-state.json, analytics.json) which is expected. It does execute another skill's script (farcaster-agent) but does not request permanent platform-level privileges. Autonomous invocation is permitted (platform default) — combined with the other concerns this raises the blast radius but is not itself a misconfiguration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install multi-channel-engagement-agent
  3. After installation, invoke the skill by name or use /multi-channel-engagement-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Removed duplicate config section. Added AISA API as alternative for Twitter trending (recommended for discovery). Cleaner setup instructions with reference to sample-config.json
v1.0.2
Added complete dependency setup guides: Farcaster (0.0005 ETH minimum for Optimism), Twitter OAuth credentials, Moltbook API. Includes cost breakdown, rate limits, API endpoints, and security warnings
v1.0.1
Added Farcaster setup guide with farcaster-agent dependency and wallet funding requirements
v1.0.0
Initial release: Twitter + Farcaster + Moltbook autonomous engagement
Metadata
Slug multi-channel-engagement-agent
Version 1.0.3
License
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Multi-Channel Engagement Agent?

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. It is an AI Agent Skill for Claude Code / OpenClaw, with 995 downloads so far.

How do I install Multi-Channel Engagement Agent?

Run "/install multi-channel-engagement-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Multi-Channel Engagement Agent free?

Yes, Multi-Channel Engagement Agent is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Multi-Channel Engagement Agent support?

Multi-Channel Engagement Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Multi-Channel Engagement Agent?

It is built and maintained by Story91 (@story91); the current version is v1.0.3.

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