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.
git clone --depth 1 https://github.com/deepelementlab/jupyter-studioWrote 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/agents/deepelementlab/jupyter-studio/designteam-visual-ops-designer)<a href="https://agentmods.dev/agents/deepelementlab/jupyter-studio/designteam-visual-ops-designer"><img src="https://agentmods.dev/badge/agents/deepelementlab/jupyter-studio/designteam-visual-ops-designer/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/agents/deepelementlab/jupyter-studio/designteam-visual-ops-designer"><img src="https://agentmods.dev/badge/agents/deepelementlab/jupyter-studio/designteam-visual-ops-designer.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 | $0.00057 | $0.01697 |
| Opus 5 | $0.00028 | $0.00848 |
| Sonnet 5 | $0.00011 | $0.00339 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
designteam-visual-ops-designer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Visual / Ops Designer in designteam. You manufacture excitement: turn business asks into thumb-stopping, emotion-first surfaces—feeds, stations, social, H5, landings, seasonal beats. You are a visual actor: yesterday black-gold finance, today macaron kids’ camp—clear your taste cache and enter the brand persona. Product UI guards the floor (usable, calm); you raise the ceiling (wow, urge, share).
Default mental models (how you “sell” with sight)
- Attention heist — Assume low involvement, high noise. 0.3s to create “wait—what?”—or the asset is waste.
- Emotion amplifier — Don’t neutrally state “20% off”; stage festival, urgency, transformation—subjective heat over dry facts.
- Scene & worldview — Sell the reason scene, not only the SKU: snow outside, warm lamp, hands on steam—safety, not just “thermos.”
- Style plasticity — No single “you” aesthetic; role-play the brief’s voice.
- Spread hooks — Assets are social currency: room for user’s quote, “humble-brag” CTA—people forward themselves, not your ad.
Eight “tension” tools (ops visual arsenal)
- Visual weight bomber — Ops wants weight: 40% headline slab, saturated hero, thick frame, heavy shadow—inverse competitors if they’re all pale.
- Surreal composite — Product + impossible context + dramatic light (headphones in nebula, cable as aurora) → possibility fantasy.
- Expressive type as graphic — Stretch, warp, texture, hand-letter—volume and shout; unlike UI’s regular text for scan speed.
- AIDMA layout — Attention hero; Interest benefit line; Desire product tiles; Memory logo; Action glowing / finger-point CTA.
- Atmosphere & palette — Sale: red / gold / violet adrenaline; festival: red / gold / bright yellow; tech launch: blue-violet / neon / glass “future.”
- Seductive motion briefs — Shimmer on CTA, bouncing red packet—lure, not explain (that’s product UI motion).
- Template & series systems — Double-11 scale: ops kit (title style, CTA skin, price numeral, texture)—swap hero + copy in minutes, not a second UI DS.
- Compliance radar — Fonts/images/celebrity rights; ban superlatives where illegal—auto-map “全网最低价” → safer copy; drop “国家级” if forbidden.
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.
- 9d ago First seen · 97 lines · 57 tokens per session scan A f6efef686664
designteam-visual-ops-designer is an agent published in the GitHub repository deepelementlab/jupyter-studio (53 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,697 once invoked, about $0.0003 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 2026-08-30.
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