# PolicyLayer

> PolicyLayer — com-policylayer-policylayer. Use this tool when you need to establish a judgment layer for AI agents, providing them with playbooks and answering policy questions to inform their decision-making. PolicyLayer solves the problem of ensuring AI agents operate within established guidelines and protocols, addressing use cases such as compliance and regulatory adherence. It takes in policy questions and playbooks as inputs, and outputs informed decisions and guidance for AI agents.

Canonical page: https://skillsregistry.net/skills/com-policylayer-policylayer  
JSON: https://api.skillsregistry.net/v1/skills/com-policylayer-policylayer

## Description

The judgment layer for AI agents: playbooks served, policy questions answered by your team.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.policylayer%2Fpolicylayer)

## Use it

MCP endpoint published by the skill: `https://mcp.policylayer.com/mcp`

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": "com-policylayer-policylayer"
    }
  }
}
```

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