# Agent Guardrails

> Use this tool when you need to ensure AI agent security and compliance, as it solves problems of unintended operations and data breaches by validating and filtering agent actions. It takes in agent actions as input and outputs validated and filtered actions, enforcing customizable policies and guardrails. Ideal for use in high-stakes or sensitive environments where AI agent autonomy requires strict oversight.

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

## Description

Provides a security layer for AI agents with configurable guardrails and policy enforcement. Validates and filters agent actions before execution to prevent unintended operations.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/expertvagabond-guardrails)
- **Repository:** <https://github.com/expertvagabond/guardrails-mcp-server>

## 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": "expertvagabond-guardrails"
    }
  }
}
```

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

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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