guardrails-safety
OfficialGuardrails ensuring safe LLM outputs.
Software Engineering#safety#policy#guardrails#hallucination-check#content-filtering#pii-detection#guardrail-pipeline
Authornexus-labs-automation
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Guardrails-safety provides a structured approach to instrument safety checks, detect harmful content, and enforce policy-compliant outputs across AI agent interactions.
Core Features & Use Cases
- Input guardrails detect prompt injections and filter content before user input is processed.
- Output guardrails detect PII, hallucinations, and unsafe content, optionally redacting or blocking responses.
- Guardrail pipeline, metrics, and async guards enable scalable, observable safety across production agents.
- Use cases include defending production agents from data leakage, maintaining compliance, and reducing unsafe completions.
Quick Start
Integrate the guardrail pipeline into your agent flow to automatically enforce input and output safety checks.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: guardrails-safety Download link: https://github.com/nexus-labs-automation/agent-observability/archive/main.zip#guardrails-safety Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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