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 devinilabs/pro-skill --skill marquee-loopgit clone --depth 1 https://github.com/devinilabs/pro-skillWrote 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/devinilabs/pro-skill/marquee-loop)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/marquee-loop"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/marquee-loop.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 5.1 | $0.00013 | $0.00174 |
| Opus 5 | $0.00006 | $0.00087 |
| Sonnet 5 | $0.00003 | $0.00035 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
marquee-loop 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.
This is a copy
100% identical to marquee-loop — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Marquee Skill
Use When
- A design needs a seamless infinite loop for logos, testimonials, screenshots, tags, or short feature chips.
Workflow
- Duplicate the item sequence so the end and beginning match perfectly.
- Animate the track with a linear transform from 0 to -50%.
- Keep item widths stable to prevent jumps during the loop.
- Mask or fade the edges when the marquee enters or exits a section.
- Pause or slow the marquee on hover only when interaction is useful.
- Respect prefers-reduced-motion with a static wrap or very slow movement.
Guardrails
- Do not animate unique content that users must read carefully.
- Do not use large CPU-heavy shadows or filters on every moving item.
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- demo/assets/page-01-6b97b0cc-6b81-4451-aacc-6b928e7d0a69-3840w.jpg 1284 KB
- demo/assets/page-02-193e1472-0514-44eb-893a-1376091263f3-3840w.jpg 1032 KB
- demo/assets/page-03-5180d964-2425-4134-8220-c1528af09124-800w.jpg 54 KB
- demo/assets/page-04-4f5668c5-fc4a-44e0-bc5e-a664189d3c31-1600w.jpg 212 KB
- demo/assets/page-05-fbddf75f-e2e3-4552-a710-55e2a5f4d6af-800w.jpg 33 KB
- demo/assets/page-06-16d38370-5873-45cf-bab1-60a7b923dc6e-800w.jpg 56 KB
- demo/assets/page-07-8e802a98-b83c-4c5d-99d1-e24406eb4ec9-3840w.jpg 2219 KB
- demo/assets/source-preview.jpg 120 KB
- demo/index.html 29 KB
- demo/preview.jpg 114 KB
- demo/PROMPT.md 2.5 KB
- demo/source.json 4.4 KB
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 · 22 lines · 13 tokens per session scan A 53f705e5f245
marquee-loop is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 25d ago), licensed MIT. It adds 13 tokens to every session and 174 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to marquee-loop, differing in 0 lines, and is treated as a copy.
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