statemachine-dsl

statemachine-dsl is a skill for Claude Code, Codex from TypeFox/agent-skills. It costs 63 tokens per session (911 once invoked), scanned A, original, MIT.

A textual language for describing finite state machines: systems that move between named states when events occur.

In plain words
What is it for?
Use it to create, edit, explain, or debug `.statemachine` files containing states, events, commands, and transitions.
Why use it?
It gives state-based behavior a readable structure that can be checked and modified as text.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/typefox/agent-skills/statemachine-dsl
Any agent
npx skills add TypeFox/agent-skills --skill statemachine-dsl
Clone the repo
git clone --depth 1 https://github.com/TypeFox/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for statemachine-dsl

README.md
[![agentmods](https://agentmods.dev/badge/skills/typefox/agent-skills/statemachine-dsl.svg)](https://agentmods.dev/skills/typefox/agent-skills/statemachine-dsl)
Your own site
<a href="https://agentmods.dev/skills/typefox/agent-skills/statemachine-dsl"><img src="https://agentmods.dev/badge/skills/typefox/agent-skills/statemachine-dsl.svg" alt="Measured on agentmods" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 911 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00063 $0.00911
Opus 5 $0.00032 $0.00456
Sonnet 5 $0.00013 $0.00182
Haiku 4.5 $0.00006 $0.00091

Measured 5d ago against content hash 828f3aea87f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

statemachine-dsl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/skill-evals/evals/files/dsl-skills/statemachine-dsl/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Statemachine DSL

A small textual language for describing finite state machines: a named machine, the events it recognizes, optional commands, an initial state, and a set of states connected by transitions.

File structure

A file is one machine, in this fixed order:

statemachine <Name>

events
    <eventName>
    <eventName>

commands
    <commandName>

initialState <StateName>

state <StateName>
    actions { <commandName> }
    <eventName> => <TargetStateName>
end
  • statemachine <Name> — required header naming the machine. <Name> is an identifier ([_a-zA-Z][\w_]*).
  • events — optional block listing one or more event names, one per line (whitespace separated).
  • commands — optional block listing one or more command names.
  • initialState <StateName> — required; must reference a state defined in the file.
  • state ... end — zero or more state definitions.

Syntax (EBNF)

statemachine_file = "statemachine", identifier,
                    [ events_block ], [ commands_block ],
                    "initialState", state_ref,
                    { state } ;

events_block      = "events", { event_name } ;
commands_block    = "commands", { command_name } ;

state             = "state", identifier,
                    [ actions_clause ],
                    { transition },
                    "end" ;

actions_clause    = "actions", "{", { command_ref }, "}" ;
transition        = event_ref, "=>", state_ref ;

event_name        = identifier ;
command_name      = identifier ;
event_ref         = identifier ;   (* must match a declared event *)
command_ref       = identifier ;   (* must match a declared command *)
state_ref         = identifier ;   (* must match a defined state *)

identifier        = letter, { letter | digit | "_" } ;
letter            = "A" | "B" | ... | "Z" | "a" | "b" | ... | "z" ;

There is no closing end for the whole machine — only each state block ends with end.

States and transitions

Each state is a state <Name> ... end block containing:

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 127 lines · 63 tokens per session scan A 828f3aea87f2

Subscribe to this mod's changes

statemachine-dsl is a skill published in the GitHub repository TypeFox/agent-skills (5 stars, last pushed 6d ago), licensed MIT. It adds 63 tokens to every session and 911 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens