constitutional-ai-prompts
Constitutional AI and safety guardrail prompts for aligned LLM behavior
npx skills add a5c-ai/babysitter --skill constitutional-ai-prompts --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Constitutional AI Prompts Skill ## Capabilities - Design constitutional AI principles - Implement self-critique and revision prompts - Create harmlessness guidelines - Design refusal patterns for unsafe requests - Implement red-team testing prompts - Create ethics-aware response frameworks ## Target Processes - system-prompt-guardrails - content-moderation-safety ## Implementation Details ### Constitutional Patterns 1. **Critique-Revision**: Self-evaluate and improve responses 2. **Principle Adherence**: Follow defined ethical principles 3. **Harmlessness Focus**: Prioritize safe responses 4. **Helpfulness Balance**: Balance helpfulness with safety 5. **Transparency**: Acknowledge limitations ### Configuration Options - Constitutional principles list - Critique prompts - Revision guidelines - Refusal templates - Escalation triggers ### Best Practices - Define clear constitutional principles - Balance helpfulness and safety - Test with adversarial inputs - Document refusal patterns - Regular principle review ### Dependencies - langchain-core
- Capabilities
- Target Processes
- Implementation Details
- Constitutional Patterns
- Configuration Options
- Best Practices
- Dependencies
What does the constitutional-ai-prompts skill do?
Constitutional AI and safety guardrail prompts for aligned LLM behavior
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill constitutional-ai-prompts --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 a5c-ai/babysitter, a repository with 1,642 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.