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 memi-design/design-skills --skill interaction-designgit clone --depth 1 https://github.com/memi-design/design-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/memi-design/design-skills/interaction-design)<a href="https://agentmods.dev/skills/memi-design/design-skills/interaction-design"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/interaction-design/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/memi-design/design-skills/interaction-design"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/interaction-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00048 | $0.00574 |
| Opus 5 | $0.00024 | $0.00287 |
| Sonnet 5 | $0.00010 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
interaction-design 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interaction Design
Define how a person moves through a system and retains control. Do not reduce the deliverable to a happy-path flow or a set of polished frames.
Inputs
Establish the user goal, entry points, domain objects, permissions, device and input modes, system constraints, irreversible actions, and known failure conditions. Ask for missing information only when it changes the interaction model materially.
Workflow
- Name the job and completion condition. State what the user is trying to accomplish and how both user and system know it is complete.
- Model objects and state. List the objects being created or changed. Define valid states, transitions, invariants, ownership, and visibility.
- Map the primary path. Show entry, orientation, action, feedback, confirmation, and exit. Minimize decisions that do not advance the goal.
- Add alternate paths. Cover first use, returning use, empty data, partial data, invalid input, offline or delayed systems, permission denial, concurrent changes, and destructive actions.
- Design feedback. Match feedback timing and prominence to consequence. Distinguish accepted, processing, completed, failed, and partially completed states.
- Preserve control. Prefer prevention, reversible actions, undo, drafts, history, and clear cancellation. Require confirmation only when consequence and reversibility justify it.
- Handle interruption. Define what persists across navigation, timeout, refresh, device changes, and resumed sessions.
- Check accessibility and inputs. Support keyboard, pointer, touch, zoom, assistive technology, reduced motion, and programmatic focus without creating separate logic paths.
- Prototype the riskiest transition. Test the behavior with the highest uncertainty, not merely the most visually impressive screen.
Output contract
Produce:
- object and state model;
- primary and alternate flow;
- state matrix covering loading, empty, error, success, partial, and permission states;
- action, feedback, undo, and recovery rules;
- accessibility and input requirements;
- open decisions and prototype recommendation.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 42 lines · 48 tokens per session scan A ec99fe19c88f
interaction-design is a skill published in the GitHub repository memi-design/design-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 574 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 2026-08-31.
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