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Babysitter constitutional-ai-prompts

Constitutional AI and safety guardrail prompts for aligned LLM behavior

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/constitutional-ai-prompts" ~/.claude/skills/a5c-ai-babysitter-constitutional-ai-prompts && rm -rf "$T"

manifest: library/specializations/ai-agents-conversational/skills/constitutional-ai-prompts/SKILL.md

tags

#constitutional-ai #safety-guardrails #ethical-prompts #llm-alignment #self-critique

source content

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

Critique-Revision: Self-evaluate and improve responses
Principle Adherence: Follow defined ethical principles
Harmlessness Focus: Prioritize safe responses
Helpfulness Balance: Balance helpfulness with safety
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