semantic-micro-interactions

semantic-micro-interactions is a skill for Claude Code, Codex from glebis/humane-agentic-design. It costs 96 tokens per session (1,149 once invoked), scanned A, original, MIT.

A design method for defining small interface responses to meaningful state changes, such as validation, progress, or completion. It covers visual motion, reduced-motion behavior, equivalent input methods, and optional sound cues without handling audio playback itself.

In plain words
What is it for?
Use it to plan feedback for controls, gestures, validation messages, progress states, and completion events in an interface.
Why use it?
It helps ensure that animation or sound explains a change instead of being decoration. It also keeps the feedback understandable for people who do not use motion or a particular input method.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the humane plugin — 21 skills, 1 agent shipped together

Good fit Use it to plan feedback for controls, gestures, validation messages, progress states, and completion events in an interface.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/glebis/humane-agentic-design/semantic-micro-interactions
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.

Any agent
npx skills add glebis/humane-agentic-design --skill semantic-micro-interactions
Clone the repo
git clone --depth 1 https://github.com/glebis/humane-agentic-design

Made for: Claude Code, Codex.

Or install humane, the plugin that ships this one along with the rest of its 21 skills, 1 agent.

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 semantic-micro-interactions

README.md
[![agentmods](https://agentmods.dev/badge/skills/glebis/humane-agentic-design/semantic-micro-interactions/github.svg)](https://agentmods.dev/skills/glebis/humane-agentic-design/semantic-micro-interactions)
Your own site
<a href="https://agentmods.dev/skills/glebis/humane-agentic-design/semantic-micro-interactions"><img src="https://agentmods.dev/badge/skills/glebis/humane-agentic-design/semantic-micro-interactions/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.

agentmods 80×15 button for semantic-micro-interactions

Your own site · 80×15
<a href="https://agentmods.dev/skills/glebis/humane-agentic-design/semantic-micro-interactions"><img src="https://agentmods.dev/badge/skills/glebis/humane-agentic-design/semantic-micro-interactions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,149 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00096 $0.01149
Opus 5.5 $0.00038 $0.00460
Sonnet 5.5 $0.00019 $0.00230
Haiku 4.5 $0.00010 $0.00115

Measured 1mo ago against content hash 546c7f7ba94e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

semantic-micro-interactions 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_map.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

humane/skills/semantic-micro-interactions/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Semantic Micro-interactions

Announce at start: "I'm using the humane:semantic-micro-interactions skill to make state changes feel clear without making motion carry the meaning."

A micro-interaction is a bounded response to a meaningful state transition. Start with what changed and what the person needs to understand; motion, highlight, status text, haptics, and sound are possible channels after that decision. An effect with no state change or orientation job is decoration and does not belong in the interaction map.

Quick reference

Need Read
Pattern selection, interruption, gesture and status guidance references/patterns.md
The interaction-map fields and accessibility invariants references/contract.md

Map the transition

For each moment, record:

  1. The semantic trigger and the before/after states. Use activate, focus, hover, state-change, validation, completion, or gesture-end; do not make raw DOM events the design contract.
  2. The intent: acknowledge, confirm, reject, reveal, connect, progress, or settle.
  3. What already communicates the result without motion or sound. If the answer is nothing, repair the state semantics before animating it.
  4. The full-motion feedback, its reduced and no-motion substitutions, and every equivalent input route.
  5. Interruption, cancellation, repetition and rate-limit behavior.

Write the result as an interaction map using references/contract.md. When the user wants a saved artifact, resolve artifact_path(name, "semantic-micro-interactions", "json"); never assemble a .design path at the call site. Validate a saved map with python3 scripts/validate_map.py <map.json>.

Hard boundaries

  • Use native controls and platform keyboard conventions before custom gesture handling. Hover may enrich; it never reveals required information or the only control.
  • A press appearance may begin on pointer-down. Navigation, submission, destructive actions, and persistent changes commit on activation/pointer-up, unless an explicit undo or essential exception makes the alternative safe.
  • Dragging has both a keyboard route and a non-dragging single-pointer route. Keyboard support alone does not satisfy the latter.
  • Motion never moves focus. A reveal preserves logical focus order, and a status update is announced only when it is actually a status message.
  • Non-essential spatial travel, parallax, scale, path and rotation have a reduced-motion substitution. Do not implement reduced motion as a global near-zero duration that leaves vestibular movement intact.
  • Reject ambient loops, strobing, repeated shake, and effects that delay the true state. Feedback is interruptible and settles into the actual state.

Read the full file on GitHub · 105 lines

Files

What ships with it

5 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.

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. 1mo ago First seen · 105 lines · 96 tokens per session scan A 546c7f7ba94e

Subscribe to this mod's changes

semantic-micro-interactions is a skill published in the GitHub repository glebis/humane-agentic-design (36 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 1,149 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-11.

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