# io.github.ExpertVagabond/guardrails

> Use this tool when you need to implement a security layer for AI agents, providing a safeguard against potential risks and threats. It solves problems related to AI agent security and compliance, ensuring reliable and trustworthy interactions. The tool accepts input from AI agents and outputs controlled responses, ideal for use in high-stakes or sensitive applications where security is paramount.

Canonical page: https://skillsregistry.net/skills/io-github-expertvagabond-guardrails  
JSON: https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-guardrails

## Description

AI Agent Guardrails MCP server - security layer

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ExpertVagabond%2Fguardrails)
- **Repository:** <https://github.com/ExpertVagabond/guardrails-mcp-server.git>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-expertvagabond-guardrails"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-guardrails` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-guardrails/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt