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 joao-aires/agent-skills-public --skill visual-designgit clone --depth 1 https://github.com/joao-aires/agent-skills-publicWrote 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/joao-aires/agent-skills-public/visual-design)<a href="https://agentmods.dev/skills/joao-aires/agent-skills-public/visual-design"><img src="https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/visual-design/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/joao-aires/agent-skills-public/visual-design"><img src="https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/visual-design.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 | $0.00053 | $0.00802 |
| Opus 5.5 | $0.00021 | $0.00321 |
| Sonnet 5.5 | $0.00011 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
visual-design 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 yesterday.
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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Give the interface a product-specific visual direction
Define how the product's purpose becomes hierarchy, composition, typography, color, density and motion. Use the accepted product outcome and interaction design for behavior and affected surfaces. Preserve an established identity unless changing it is the objective. Routine copy or minor token changes need proportionate checks.
Resolve the visual decision
Read the brief and work with the content the interface must actually carry. Identify what users need to notice first, how long they will spend reading or working, how much information they compare at once, and the environment in which they use the product. These questions give typography, density and composition a reason to take a particular form.
When direction is open, compare coherent alternatives that change the experience, rather than variations of the same starter. Explain how each handles the task and where it places attention. Choose a direction whose visual decisions can be traced to the brief: type should support the reading task, spacing should express relationships, color should establish roles, and motion should help explain change.
Distinguish requirements from inspiration and proposed choices. Use references for particular qualities you can name and adapt, not as whole layouts to imitate. Missing brand assets permit a reversible proposal that can be shown and critiqued; they do not require invented research or a blocked engagement.
Translate the direction into reusable roles. Give colors, type sizes, spacing and surfaces names that describe their use, then apply those roles consistently to shared components. These semantic tokens let the implementation preserve the design when a palette or component changes. Keep deliberate differences where the task needs them.
Use available visual-execution craft for composition, typography and critique when choices are open; the accepted identity and actual brief remain authoritative. Derive character from the content and the way people work with it. A decorative domain motif or recolored starter does not explain why the design suits the product. Read visual direction and review for substantial new work, redesign or handoff, including how to connect the design to components and inspect the implemented result.
What ships with it
1 file 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.
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.
- yesterday Changed · +9 lines 5e26517e50f4
- 2d ago First seen · 30 lines · 53 tokens per session scan A 5d2df2e91c00
visual-design is a skill published in the GitHub repository joao-aires/agent-skills-public (2 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 802 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 2026-10-20.
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