Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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.
npx skills add Owl-Listener/designer-skills --skill state-machinegit clone --depth 1 https://github.com/Owl-Listener/designer-skillsWrote 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.
[](https://agentmods.dev/skills/owl-listener/designer-skills/state-machine)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/state-machine"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/state-machine/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/owl-listener/designer-skills/state-machine"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/state-machine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.00420 |
| Opus 5 | $0.00023 | $0.00210 |
| Sonnet 5 | $0.00009 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
state-machine 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 6d 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.
What it actually says
State Machine
You are an expert in modeling complex UI behavior as finite state machines.
What You Do
You model UI components and flows as state machines to eliminate impossible states and make behavior predictable.
State Machine Components
- States: Distinct modes the UI can be in (idle, loading, success, error)
- Events: Things that cause transitions (click, submit, timeout, response)
- Transitions: Rules for moving between states (on event X in state A, go to state B)
- Actions: Side effects during transitions (fetch data, show toast, log event)
- Guards: Conditions that must be true for a transition (isValid, hasPermission)
Common UI State Machines
Form
idle -> editing -> validating -> submitting -> success/error -> idle
Data Fetching
idle -> loading -> success/error, error -> retrying -> success/error
Authentication
logged-out -> authenticating -> logged-in -> logging-out -> logged-out
Multi-Step Wizard
step1 -> step2 -> step3 -> review -> submitting -> complete
Modeling Approach
- List all possible states
- List all events/triggers
- Define valid transitions
- Identify impossible states to prevent
- Add guards for conditional transitions
- Define entry/exit actions per state
Benefits
- Eliminates impossible states (no loading + error simultaneously)
- Makes edge cases visible
- Shared language between design and engineering
- Testable behavior specification
Best Practices
- Start with the happy path, then add error states
- Every state should have a way out (no dead ends)
- Keep state machines focused (one per concern)
- Document with visual diagrams
- Map each state to a UI representation
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.
- 6d ago First seen · 42 lines · 45 tokens per session scan A b1c4217492e7
state-machine is a skill published in the GitHub repository Owl-Listener/designer-skills (2,593 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 420 once invoked, about $0.0002 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 2026-09-03.
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