state-machine-design SKILL.md skillA

state-machine-design from amethystluna/embedded-workbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amethystluna/embedded-workbench/state-machine-design@git:20261018.2d04c6b

Pins git:20261018.2d04c6b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amethystluna/embedded-workbench
Path
skills/state-machine-design/SKILL.md
Versions recorded
5
Latest version
git:20261018.2d04c6b, committed Oct 18, 2026
First version recorded
Jun 22, 2026
Size
9,082 bytes
Repository stars
32
License
MIT

Use when reviewing or fixing async protocols, retries, ACK/NACK handling, pending flags, timeout logic, or state-machine lockups in embedded firmware. NOT for generic network protocol design (TCP/HTTP/MQTT) unless targeting embedded firmware stack.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<HARD-GATE>
This is a domain implementation skill. If you are planning, designing, or entering plan mode — load `Skill("embedded-workbench")` first to activate the workflow gates (Plan Verification Gate, Approval Gate, Closure Gate). Domain skills carry implementation guidance, not workflow enforcement.
</HARD-GATE>

# State Machine Design

> **For a design that has to be decided rather than reviewed:** `dsh-model-everything` verifies the machine itself — `model_verify` explores every interleaving for unreachable states, deadlock, a timeout that can never fire, and a lock held across an await; `model_compose_verify` decides two mechanisms interacting, including a lost update on a shared location. Load its `model-everything` skill when the plugin is installed. This skill stays the implementation guide: the C code, the flags, the timeouts.

## Core Rules

- Fix the state model, not the symptom. Every in-progress or pending flag must have explicit success, failure, timeout, and reset exits.
- Timeout logic must be gated on real pending work. Idle states must not trigger retry, recovery, or error transitions.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amethystluna/embedded-workbench/state-machine-design@sha256:8e4b8fba19fac4ab

The line at the top of this page pins the label git:20261018.2d04c6b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6kizuhplj7ppd4yy.svg)](https://markdownregistry.com/a/art_6kizuhplj7ppd4yy)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 22, 2026 and Oct 18, 2026, about one every 29 days.

versioncommittedcommitsizeaudit
git:20261018.2d04c6b latest2026-10-18 2d04c6b 9,082 BA view · diff
git:20260626.c525f3f2026-06-26 c525f3f 8,572 BA view · diff
git:20260625.3b638fd2026-06-25 3b638fd 8,251 BA view · diff
git:20260625.b058c1c2026-06-25 b058c1c 8,153 BA view · diff
git:20260622.0ec72ae2026-06-22 0ec72ae 2,312 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9082 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

amethystluna/embedded-workbench · 32 stars · license MIT · pushed 2026-11-06 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_6kizuhplj7ppd4yy
GET https://markdownregistry.com/api/v1/resolve?ref=amethystluna/embedded-workbench/state-machine-design
GET https://markdownregistry.com/api/v1/blob/8e4b8fba19fac4abf123c1543401389006e89f28a706f37fdebf316eeabaf604

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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