guardrails-ai-setup SKILL.md skillA

guardrails-ai-setup from a5c-ai/babysitter is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add a5c-ai/babysitter/guardrails-ai-setup@git:20260601.da7723a

Pins git:20260601.da7723a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
a5c-ai/babysitter
Path
library/specializations/ai-agents-conversational/skills/guardrails-ai-setup/SKILL.md
Versions recorded
5
Latest version
git:20260601.da7723a, committed Jun 1, 2026
First version recorded
Mar 25, 2026
Size
8,637 bytes
Repository stars
1,896
License
MIT

Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add a5c-ai/babysitter/guardrails-ai-setup@sha256:2184485766a54297

The line at the top of this page pins the label git:20260601.da7723a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jm5horu6ha6hocyp.svg)](https://markdownregistry.com/a/art_jm5horu6ha6hocyp)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jun 1, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
git:20260601.da7723a latest2026-06-01 da7723a 8,637 BA view · diff
git:20260507.44b06c02026-05-07 44b06c0 8,950 BA view · diff
git:20260507.50823d82026-05-07 50823d8 8,908 BA view · diff
git:20260507.313363d2026-05-07 313363d 8,664 BA view · diff
git:20260325.a6b3a882026-03-25 a6b3a88 8,306 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8637 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

a5c-ai/babysitter · 1,896 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jm5horu6ha6hocyp
GET https://markdownregistry.com/api/v1/resolve?ref=a5c-ai/babysitter/guardrails-ai-setup
GET https://markdownregistry.com/api/v1/blob/2184485766a542973e46ed502cd7090a25a552a1fe0f97511d61080347925fd1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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