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 markerikson/opencode-config-example --skill frontend-designgit clone --depth 1 https://github.com/markerikson/opencode-config-exampleWrote 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/markerikson/opencode-config-example/frontend-design)<a href="https://agentmods.dev/skills/markerikson/opencode-config-example/frontend-design"><img src="https://agentmods.dev/badge/skills/markerikson/opencode-config-example/frontend-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/markerikson/opencode-config-example/frontend-design"><img src="https://agentmods.dev/badge/skills/markerikson/opencode-config-example/frontend-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 | $0.00046 | $0.01898 |
| Opus 5.5 | $0.00018 | $0.00759 |
| Sonnet 5.5 | $0.00009 | $0.00380 |
| Haiku 4.5 | $0.00005 | $0.00190 |
Grade A, and why
frontend-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 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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adapted from Impeccable by Paul Bakaus (Apache 2.0 license). Modified for dashboard/tool UI: emphasis shifted from bold creative expression to clarity, information density, scanability, and consistent design systems.
This skill guides creation of polished, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with careful attention to design details and intentional choices.
Design Direction
Establish a clear design direction before writing code:
- Purpose: What problem does this interface solve? Who uses it? What data matters most?
- Tone: Choose an appropriate aesthetic — refined minimal, utilitarian, editorial, industrial, soft neutral, etc. Match the tone to the tool's purpose. A trading dashboard and a documentation site need very different treatments.
- Constraints: Technical requirements (framework, performance, accessibility).
- Consistency: Define a design system early — tokens, patterns, component conventions. Reuse relentlessly. Every one-off choice is technical debt.
CRITICAL: Choose a clear direction and execute it with precision. The key is intentionality: every color, spacing value, and typographic choice should trace back to a deliberate decision, not a default.
Then implement working code that is:
- Production-grade and functional
- Visually clear and scannable
- Cohesive with a consistent design system
- Meticulously refined in every detail
Frontend Aesthetics Guidelines
Typography
→ Consult typography reference for scales, pairing, and loading strategies.
Choose fonts appropriate to the interface's purpose. For data-heavy tools, readability and numeric clarity matter more than personality.
DO: Use a modular type scale with fluid sizing (clamp)
DO: Vary font weights and sizes to create clear visual hierarchy
DO: Use font-variant-numeric: tabular-nums for data columns
DON'T: Use overused fonts—Inter, Roboto, Arial, Open Sans, system defaults — unless they genuinely serve the purpose (system fonts are fine for tools)
DON'T: Use monospace typography as lazy shorthand for "technical/developer" vibes
DON'T: Put large icons with rounded corners above every heading—they rarely add value and make sites look templated
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 · 138 lines · 46 tokens per session scan A e31793ddf4a3
frontend-design is a skill published in the GitHub repository markerikson/opencode-config-example (48 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 1,898 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 2026-08-30.
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