An AI-driven moderation assistant designed to summarize community activity and identify potential rule violations without automated enforcement.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install community-mod-pack
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install community-mod-pack using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Community Mod Pack is a specialized toolset designed to empower community managers and moderators on platforms like Discord and Telegram. As a core part of the Openclaw Skills ecosystem, it streamlines the oversight of large-scale chats by providing high-level activity summaries and surfacing moderation signals. Instead of taking autonomous actions, this skill focuses on assisting the human-in-the-loop by providing actionable data and draft responses.
By leveraging this skill, teams can maintain a high quality bar for community interactions while ensuring that all final enforcement decisions remain human-centric. It effectively bridges the gap between raw message logs and effective community leadership by synthesizing complex discussions into readable reports and highlighting specific areas that require attention based on predefined rules.
To get started with this skill, ensure you have your community rules and channel access tokens ready. Install the package using the Openclaw Skills CLI:
openclaw install community-mod-pack
Once installed, provide the agent with your community's escalation contacts and severity thresholds to begin the analysis process.
The skill processes and organizes moderation data using the following structure:
| Component | Description |
|---|---|
| Activity Summary | Synthesized report of key topics and notable community threads. |
| Flagged Content | List of messages with associated rule citations and confidence scores. |
| Draft Responses | Context-aware replies and rule reminders for moderator approval. |
| Action Log | Suggested follow-up steps and escalation paths for human moderators. |
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