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 CesiumGS/cesiumjs-ai-starter-app --skill czml-billboard-labelgit clone --depth 1 https://github.com/CesiumGS/cesiumjs-ai-starter-appWrote 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/cesiumgs/cesiumjs-ai-starter-app/czml-billboard-label)<a href="https://agentmods.dev/skills/cesiumgs/cesiumjs-ai-starter-app/czml-billboard-label"><img src="https://agentmods.dev/badge/skills/cesiumgs/cesiumjs-ai-starter-app/czml-billboard-label/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/cesiumgs/cesiumjs-ai-starter-app/czml-billboard-label"><img src="https://agentmods.dev/badge/skills/cesiumgs/cesiumjs-ai-starter-app/czml-billboard-label.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 | $0.00051 | $0.00467 |
| Opus 5.5 | $0.00020 | $0.00187 |
| Sonnet 5.5 | $0.00010 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
czml-billboard-label 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
CZML Billboard & Label
- "billboard":
{ "image": "<data URI or URL>", "scale": <number>, "show": true|false }— draws an icon at the entity's "position". Do not reference an external image/model URL unless the intent explicitly supplies one. - "label":
{ "text": "<string>", "font": "<CSS font, e.g. \"14px sans-serif\">", "fillColor": { "rgba": [r,g,b,a] }, "show": true|false }— draws text next to the entity's "position". - Both support "scale" and "show"; omit "show" to always display.
- "description":
"<HTML string>"— a top-level packet property (a sibling of "billboard"/"label", not nested inside either) holding an HTML description shown in the entity's info-box when clicked, e.g."<p>Learn more at <a href=\"https://example.com\">example.com</a>.</p>".
Example: a named facility with an icon and a label
[
{ "id": "document", "name": "AGI Headquarters", "version": "1.0" },
{
"id": "agi-hq",
"name": "AGI Headquarters",
"position": { "cartographicDegrees": [-75.596, 40.038, 0] },
"billboard": { "image": "data:image/svg+xml;base64,PHN2Zy8+", "scale": 1.0 },
"label": {
"text": "AGI HQ",
"font": "14px sans-serif",
"fillColor": { "rgba": [255, 255, 255, 255] }
},
"description": "<p>Headquarters of AGI.</p>"
}
]
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 · 37 lines · 51 tokens per session scan A cc4cf80e1dc4
czml-billboard-label is a skill published in the GitHub repository CesiumGS/cesiumjs-ai-starter-app (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 467 once invoked, about $0.0002 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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