community-mod-pack

Web & Frontend Development
v1.0.0
Benign

Assist community moderation with summaries, spam detection suggestions, and draft replies for Discord or Telegram.

768 downloads768 installsby @codedao12

Setup & Installation

Install command

clawhub install codedao12/community-mod-pack

If the CLI is not installed:

Install command

npx clawhub@latest install codedao12/community-mod-pack

Or install with OpenClaw CLI:

Install command

openclaw skills install codedao12/community-mod-pack

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/codedao12/community-mod-pack

What This Skill Does

Assists community moderators by generating channel activity summaries, flagging potential spam or rule violations, and drafting reply templates. Works with Discord or Telegram message exports. Never takes enforcement actions like banning or deleting messages.

Keeps humans in the loop for all enforcement decisions while reducing the time moderators spend reading through full channel histories.

When to Use It

  • Getting a daily summary of active threads in a Discord server
  • Flagging messages that may violate community rules before a human reviews them
  • Drafting a rule-reminder reply to a specific user
  • Generating a weekly moderation report for a Telegram group
  • Identifying spam patterns across high-volume chat logs
View original SKILL.md file
# Community Mod Pack

## Goal
Summarize community activity and surface moderation signals with draft responses only.

## Best fit
- Use when the user needs daily or weekly channel summaries.
- Use when the user wants spam or rule-violation signals.
- Use when the user wants draft moderator replies or rule reminders.

## Not fit
- Avoid when the user asks to auto-ban, kick, or delete messages.
- Avoid when the community rules are missing or unclear.
- Avoid when privacy constraints prohibit analysis.

## Quick orientation
- `references/overview.md` for workflow and quality bar.
- `references/auth.md` for access and token handling.
- `references/endpoints.md` for optional integrations and templates.
- `references/webhooks.md` for async event handling.
- `references/ux.md` for intake questions and output formats.
- `references/troubleshooting.md` for common issues.
- `references/safety.md` for safety and privacy guardrails.

## Required inputs
- Channel logs or message exports within the allowed window.
- Community rules and enforcement preferences.
- Languages to moderate.
- Escalation contacts and severity thresholds.

## Expected output
- Activity summary with key topics and notable threads.
- Flagged messages with reasons and confidence.
- Draft responses or rule reminders.
- Suggested follow-up actions for human moderators.

## Operational notes
- Provide confidence and cite the rule that was triggered.
- Avoid making final enforcement decisions.
- Keep outputs in draft form.

## Security notes
- Respect privacy and minimize data retention.
- Avoid sharing personal data beyond the moderator context.

## Safe mode
- Analyze and draft only; no enforcement actions.
- Use read-only access to logs when possible.

## Sensitive ops
- Muting, banning, deleting messages, or modifying roles is out of scope.

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Getting a daily summary of active threads in a Discord server

AGENT
  1. 1Getting a daily summary of active threads in a Discord server
  2. 2Flagging messages that may violate community rules before a human reviews them
  3. 3Drafting a rule-reminder reply to a specific user
  4. 4Generating a weekly moderation report for a Telegram group
  5. 5Identifying spam patterns across high-volume chat logs
OUTPUT
Assist community moderation with summaries, spam detection suggestions, and draft replies for Discord or Telegram.

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Details

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Last updatedFeb 28, 2026