ai-guardrails
CommunityGuardrails for safe LLM agent pipelines.
Software Engineering#defense-in-depth#guardrails#ai-security#prompt-injection#output-validation#tool-call-gating#pii-deidentification
AuthorSheldon-92
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ai-guardrails addresses the need to harden AI agent pipelines against prompt injection, unsafe outputs, and uncontrolled agent behavior by providing a configurable, multi-layer guardrail framework.
Core Features & Use Cases
- Layered guardrails across input, processing, and output stages including PII redaction, output validation, tool-call gating, content moderation, and RAG safeguards.
- Deterministic guardrail validation scripts and dedicated fixtures (e.g., scripts/check-guardrail-config.sh and references/ guides) to enable repeatable security audits.
- Enterprise-ready risk alignment with OWASP Top 10 for LLM apps 2025, cross-cutting guardrails, and a self-hosted guardrail validator for CI.
Quick Start
Load the ai-guardrails pack into your agent workflow and run the included guardrail validator to identify and remediate risk findings.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: ai-guardrails Download link: https://github.com/Sheldon-92/TAD/archive/main.zip#ai-guardrails Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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