# Nervous System

> Nervous System — levelsofself-mcp-nervous-system. Use this tool when you need to establish a secure governance framework for Large Language Model (LLM) agents, solving problems related to data protection, auditability, and control. It provides a set of mechanically-enforced rules, preflight file protection, and audit tools, with inputs including configuration files and LLM agent interactions, and outputs such as verified audit chains and worklog templates. Use it in contexts where reliable and trustworthy LLM agent operation is critical.

Canonical page: https://skillsregistry.net/skills/levelsofself-mcp-nervous-system  
JSON: https://api.skillsregistry.net/v1/skills/levelsofself-mcp-nervous-system

## Description

Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qv7xp3qogf)
- **Repository:** <https://github.com/levelsofself/mcp-nervous-system>

## 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": "levelsofself-mcp-nervous-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/levelsofself-mcp-nervous-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/levelsofself-mcp-nervous-system/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
