# Agent Module: Deterministic compliance knowledge for production agents

> Use this tool when you need to ensure compliance with the EU AI Act in highly regulated industries, such as building agent teams or internal automations. It provides deterministic, vertical-specific compliance knowledge retrievable at runtime, solving problems related to ethics and regulatory adherence. With a comprehensive library of ethics modules and multi-rail payment options, it offers a reliable solution for enterprises to build trusted agentic workflows for global deployment.

Canonical page: https://skillsregistry.net/skills/agentmodule-agent-module  
JSON: https://api.skillsregistry.net/v1/skills/agentmodule-agent-module

## Description

Agent Module provides agent-native knowledge infrastructure — deterministic, vertical-specific EU AI Act compliance knowledge retrievable at runtime via MCP. Comprehensive ethics module library across 4 content layers (logic, directive, skill, action), all mapped to specific EU AI Act articles. See GET /api/status for current module count. Multi-rail payments: Stripe (subscription), Skyfire (per-use at $0.002/call), x402 (USDC on Base). Free 24-hour trial — no payment required. August 2026 enforcement deadline.

Building agent teams or internal automations for highly regulated verticals? 15+ verticals coming Q2–Q3 2026: runtime grounding axioms for compliance, best practices, and legal guardrails to build ethical, trusted enterprise agentic workflows for global deployment.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/agentmodule/agent-module)

## 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": "agentmodule-agent-module"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentmodule-agent-module` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentmodule-agent-module/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