animated-input

A set of styled input fields with labels that move when the field is focused or contains text, plus success and error states.

In plain words
What is it for?
Use it when building sign-in forms, contact forms, checkout screens, or other interfaces that collect user input.
Why use it?
It makes form fields easier to understand while showing whether entered values are valid.

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/subhansh-dev/agent-maxxing/animated-input
Any agent
npx skills add subhansh-dev/agent-maxxing --skill animated-input
Clone the repo
git clone --depth 1 https://github.com/subhansh-dev/agent-maxxing

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 358 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 $0.00017 $0.00358
Opus 5 $0.00009 $0.00179
Sonnet 5 $0.00003 $0.00072
Haiku 4.5 $0.00002 $0.00036

Measured 2d ago against content hash d808defd1d9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

animated-input 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 2d 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.

components/animated-input/SKILL.md · 54 lines

What it actually says

Animated Input Component

.input-group {
  position: relative;
  margin-bottom: 20px;
}

.input-field {
  width: 100%;
  padding: 16px 18px 8px;
  background: rgba(255, 255, 255, 0.04);
  border: 1px solid rgba(255, 255, 255, 0.08);
  border-radius: 12px;
  color: rgba(255, 255, 255, 0.9);
  font-size: 15px;
  outline: none;
  transition: all 0.2s ease;
}

.input-field:focus {
  border-color: var(--accent);
  box-shadow: 0 0 0 3px rgba(var(--accent-rgb), 0.15);
}

.input-label {
  position: absolute;
  left: 18px;
  top: 50%;
  transform: translateY(-50%);
  color: rgba(255, 255, 255, 0.35);
  font-size: 15px;
  pointer-events: none;
  transition: all 0.2s ease;
}

.input-field:focus + .input-label,
.input-field:not(:placeholder-shown) + .input-label {
  top: 12px;
  transform: translateY(0);
  font-size: 11px;
  color: var(--accent);
}

Validation states:

  • .input-error: border-color: #ef4444
  • .input-success: border-color: #22c55e
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. 2d ago First seen · 54 lines · 17 tokens per session scan A d808defd1d9d

Subscribe to this mod's changes

animated-input is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 358 once invoked, about $0.0001 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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