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 harnessprotocol/harness-kit --skill frontend-designgit clone --depth 1 https://github.com/harnessprotocol/harness-kitWrote 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/harnessprotocol/harness-kit/frontend-design)<a href="https://agentmods.dev/skills/harnessprotocol/harness-kit/frontend-design"><img src="https://agentmods.dev/badge/skills/harnessprotocol/harness-kit/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/harnessprotocol/harness-kit/frontend-design"><img src="https://agentmods.dev/badge/skills/harnessprotocol/harness-kit/frontend-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.03380 |
| Opus 5.5 | $0.00027 | $0.01352 |
| Sonnet 5.5 | $0.00014 | $0.00676 |
| Haiku 4.5 | $0.00007 | $0.00338 |
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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
Context Gathering Protocol
Design without project context produces generic output. Before designing anything:
- Check for existing context: If your loaded instructions contain a Design Context section, use it.
- Ask if missing: You need at minimum — target audience, use cases, brand personality/tone. Code tells you what was built, not who it's for or what it should feel like. Ask before generating.
The AI Slop Test
Before shipping: "If someone saw this and said 'AI made this,' would they believe it immediately?"
If yes — fix it. The recurring fingerprints of AI-generated work:
- Inter font, Roboto, Open Sans, Arial, or system defaults
- Purple-to-blue gradients; cyan-on-dark; neon accents on dark backgrounds
- Gray text on colored backgrounds
- Glassmorphism used decoratively (blur cards, glow borders)
- Pure black (#000) or pure white (#fff) anywhere
- Everything wrapped in cards; cards nested inside cards; identical card grids
- Everything centered; same spacing everywhere
- Hero metric layout (big number, small label, supporting stats, gradient accent)
- Dark mode as the default aesthetic (looks cool without requiring actual design decisions)
- Gradient text for "impact" — decorative, not meaningful
- Large rounded icons above every heading
- Bounce / elastic easing
- Sparklines as decoration
- Rounded rectangles with generic drop shadows
easeas the default easing function
A distinctive interface makes someone ask "how was this made?" not "which AI made this?"
Design Direction
Commit to a bold, specific aesthetic direction before touching code:
- Tone: Pick an extreme — brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian. There are endless flavors. Design one true to the context, not a safe middle ground.
- Differentiation: What's the one thing someone will remember?
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.
- 1mo ago First seen · 294 lines · 68 tokens per session scan A 91d5b00b08e9
frontend-design is a skill published in the GitHub repository harnessprotocol/harness-kit (10 stars, last pushed 2d ago), licensed Apache-2.0. It adds 68 tokens to every session and 3,380 once invoked, about $0.0003 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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