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 dropdowngit 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/dropdown)<a href="https://agentmods.dev/skills/subhansh-dev/agent-maxxing/dropdown"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/dropdown/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/dropdown"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/dropdown.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 | $0.00018 | $0.00581 |
| Opus 5.5 | $0.00007 | $0.00232 |
| Sonnet 5.5 | $0.00004 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
dropdown 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
Dropdown Component
.dropdown {
position: relative;
display: inline-block;
}
.dropdown-trigger {
padding: 10px 16px;
background: rgba(255, 255, 255, 0.04);
border: 1px solid rgba(255, 255, 255, 0.08);
border-radius: 10px;
color: rgba(255, 255, 255, 0.8);
font-size: 13px;
cursor: pointer;
display: flex;
align-items: center;
gap: 8px;
transition: all 0.15s ease;
}
.dropdown-trigger:hover {
background: rgba(255, 255, 255, 0.06);
border-color: rgba(255, 255, 255, 0.12);
}
.dropdown-menu {
position: absolute;
top: calc(100% + 6px);
left: 0;
min-width: 200px;
padding: 6px;
background: rgba(16, 18, 30, 0.95);
border: 1px solid rgba(255, 255, 255, 0.08);
border-radius: 12px;
backdrop-filter: blur(20px);
box-shadow: 0 20px 60px rgba(0, 0, 0, 0.5);
opacity: 0;
transform: translateY(-4px) scale(0.98);
pointer-events: none;
transition: all 0.15s ease;
z-index: 1000;
}
.dropdown.open .dropdown-menu {
opacity: 1;
transform: translateY(0) scale(1);
pointer-events: auto;
}
.dropdown-item {
padding: 8px 12px;
border-radius: 8px;
color: rgba(255, 255, 255, 0.7);
font-size: 13px;
cursor: pointer;
transition: all 0.1s ease;
}
.dropdown-item:hover {
background: rgba(255, 255, 255, 0.06);
color: rgba(255, 255, 255, 0.95);
}
.dropdown-divider {
height: 1px;
background: rgba(255, 255, 255, 0.06);
margin: 4px 0;
}
Rules:
- Close on Escape or click outside
- Arrow keys navigate items
- Auto-position to stay within viewport
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 · 82 lines · 18 tokens per session scan A 557017151450
dropdown is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 581 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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Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every…
review-this-branch
Run the nohuman review gate (fresh-session adversarial reviewer + tamper guard) over the current branch or a GitHub pull request, with no server, no database, and no onboarding, and relay the pass/fail checklist.
fabric-spec
Starts a persistent Pi Fabric spec supervisor that audits the main session against a feature design spec and steers only when a requirement lacks verified evidence. Use for strict, unblocked spec compliance while the main agent keeps full freedom to orchestrate.