guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
npx skills add a5c-ai/babysitter --skill guardrails-ai-setup --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.
# guardrails-ai-setup Configure Guardrails AI validation framework to ensure LLM outputs meet quality, safety, and structural requirements. Implement validators for input sanitization, output format enforcement, and safety constraints. ## Overview Guardrails AI provides: - Input validation before LLM calls - Output validation after LLM responses - Structured output enforcement (JSON, XML, etc.) - Pre-built validators from Guardrails Hub - Custom validator creation - Automatic retry and correction mechanisms ## Capabilities ### Input Validation - Sanitize user inputs - Detect prompt injection attempts - Validate input formats and lengths - Check for PII before processing ### Output Validation - Enforce structured output schemas - Validate content accuracy - Check for harmful content - Verify factual consistency ### Safety Constraints - Content moderation - Toxicity detection - Bias checking - Hallucination detection ### Integration Features - LangChain integration - Streaming support - Automatic retries - Correction strategies ## Usage ### Basic Setup ```python from guardrails import Guard from guardrails.hub import ValidJson, ToxicLanguage, DetectPII # Create guard with validators
- Overview
- Capabilities
- Input Validation
- Output Validation
- Safety Constraints
- Integration Features
- Usage
- Basic Setup
- Schema-Based Validation
- Using Guardrails Hub Validators
- Custom Validators
- Prompt Injection Defense
- Integration with NeMo Guardrails
- Task Definition
What does the guardrails-ai-setup skill do?
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill guardrails-ai-setup --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.