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 subhansh-dev/agent-maxxing --skill animated-inputgit clone --depth 1 https://github.com/subhansh-dev/agent-maxxingWrote 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/subhansh-dev/agent-maxxing/animated-input)<a href="https://agentmods.dev/skills/subhansh-dev/agent-maxxing/animated-input"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/animated-input/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/subhansh-dev/agent-maxxing/animated-input"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/animated-input.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 | $0.00017 | $0.00358 |
| Opus 5.5 | $0.00007 | $0.00143 |
| Sonnet 5.5 | $0.00003 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
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 1mo 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
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
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.
- 1mo ago First seen · 54 lines · 17 tokens per session scan A d808defd1d9d
animated-input is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 358 once invoked, about $0.0001 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 2026-08-31.
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