# Agent Guardrails

> Use this tool when you need to ensure AI coding agents operate within predefined boundaries and follow safety protocols. Agent Guardrails solves problems related to uncontrolled AI-generated code by implementing merge gates and safety checks via MCP, providing a secure interface for inputting code parameters and outputting validated results. It is ideal for use in high-stakes coding environments where precision and reliability are crucial.

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

## Description

Merge gates and safety checks for AI coding agents via MCP.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 0.3.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.logi-cmd%2Fagent-guardrails)

## 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-logi-cmd-agent-guardrails"
    }
  }
}
```

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