# agent-guardrails

> Use this tool when you need to enforce strict adherence to guidelines and prevent AI agents from exploiting loopholes or manipulating outcomes. The agent-guardrails tool solves problems of non-compliance and unintended behavior by providing a robust framework for setting and enforcing rules. It takes in defined rules and agent actions as inputs and outputs alerts or corrective actions to ensure alignment with established guidelines.

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

## Description

Stop AI agents from secretly bypassing your rules.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-17

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/olmmlo-cmd-agent-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": "olmmlo-cmd-agent-guardrails"
    }
  }
}
```

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