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 agentmods add skills/subhansh-dev/agent-maxxing/modal-dialognpx skills add subhansh-dev/agent-maxxing --skill modal-dialoggit 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/modal-dialog)<a href="https://agentmods.dev/skills/subhansh-dev/agent-maxxing/modal-dialog"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/modal-dialog.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00349 |
| Opus 5 | $0.00009 | $0.00175 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
modal-dialog 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 4d 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
Modal Dialog Component
.modal-backdrop {
position: fixed;
inset: 0;
background: rgba(0, 0, 0, 0.6);
backdrop-filter: blur(20px);
display: flex;
align-items: center;
justify-content: center;
z-index: 1000;
animation: fadeIn 0.2s ease;
}
.modal-content {
background: rgba(16, 18, 30, 0.95);
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 20px;
padding: 32px;
max-width: 480px;
width: 90%;
box-shadow: 0 40px 120px rgba(0, 0, 0, 0.65);
animation: slideUp 0.3s cubic-bezier(0.34, 1.56, 0.64, 1);
}
@keyframes fadeIn {
from { opacity: 0; }
to { opacity: 1; }
}
@keyframes slideUp {
from { opacity: 0; transform: translateY(20px) scale(0.95); }
to { opacity: 1; transform: translateY(0) scale(1); }
}
Rules:
- Always trap focus inside modal
- Close on Escape key
- Close on backdrop click
- Return focus to trigger element on close
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.
- 4d ago First seen · 48 lines · 17 tokens per session scan A 6bea31501feb
modal-dialog 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 349 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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