# state-machine

> state-machine — tetracoralla-state-machine. Use this tool when you need to validate, simulate, and analyze finite state machines to ensure correct behavior and identify potential issues. It solves problems related to state machine design, testing, and optimization, and accepts inputs such as state machine definitions and simulation scenarios. The tool provides outputs including validation results, simulation traces, and optimized state machine schemas.

Canonical page: https://skillsregistry.net/skills/tetracoralla-state-machine  
JSON: https://api.skillsregistry.net/v1/skills/tetracoralla-state-machine

## Description

Enables validating, simulating, and analyzing finite state machines via MCP tools for step execution, path finding, and schema inspection.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p9w33mnjij)
- **Repository:** <https://github.com/tetracoralla/state-machine>

## 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": "tetracoralla-state-machine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tetracoralla-state-machine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tetracoralla-state-machine/pull`

---
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