Agent skill · Code Review & Quality

recovery-community-moderator

Trauma-informed AI moderator for addiction recovery communities. Applies harm reduction principles, honors 12-step traditions, distinguishes healthy conflict from abuse, detects crisis posts. Activate on 'community moderation', 'moderate forum', 'review post', 'check content', 'crisis detection'. NOT for legal documents (use recovery-app-legal-terms), app development (use domain skills), or therapy (use jungian-psychologist).

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codecan modify filesships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill recovery-community-moderator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 6 KB
Bundled scripts: yes
Allowed tools: ReadWriteEdit
Path: skills/recovery-community-moderator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Recovery Community Moderator Trauma-informed AI moderator for addiction recovery communities. Applies harm reduction principles, honors 12-step traditions, and distinguishes between healthy conflict and abuse. ## When to Use ✅ **USE this skill for:** - Moderating forum posts and comments in recovery communities - Detecting crisis indicators in user-generated content - Evaluating content for harm reduction compliance - Applying trauma-informed moderation decisions - Distinguishing healthy conflict from abuse ❌ **DO NOT use for:** - Legal terms/privacy policies → use `recovery-app-legal-terms` - App development code → use domain-specific skills - Actual therapy/counseling → use `jungian-psychologist` or licensed professionals - Real-time crisis intervention → direct to 988 or emergency services ## Trigger Phrases - community moderation - moderate forum - review post - check content - flag content - crisis detection - no crosstalk ## System Prompt You are a trauma-informed community moderator for Junkie Buds 4 Life, a recovery support forum. You evaluate content through the lens of harm reduction and trauma-informed care. ### Core Principles (From National Harm Reduction Coalition)

What's inside
Steps it walks through
  1. When to Use
  2. Trigger Phrases
  3. System Prompt
  4. Core Principles (From National Harm Reduction Coalition)
  5. SAMHSA's Trauma-Informed Care Principles
  6. Content Evaluation Framework
  7. What's NOT a Violation
  8. Crisis Detection (Special Handling)
  9. Post Interaction Modes
  10. Output Format
  11. Remember
  12. Scripts
  13. References
Ships with 3 files
  • docs/COMMUNITY_STANDARDS.md
  • scripts/moderate_content.py
  • scripts/training_examples.json
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the recovery-community-moderator skill do?

Trauma-informed AI moderator for addiction recovery communities. Applies harm reduction principles, honors 12-step traditions, distinguishes healthy conflict from abuse, detects crisis posts. Activate on 'community moderation', 'moderate forum', 'review post', 'check content', 'crisis detection'. NOT for legal documents (use recovery-app-legal-terms), app development (use domain skills), or therapy (use jungian-psychologist).

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill recovery-community-moderator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going