Borrowing it
Nothing to install: this file belongs to lanesket/llm.log. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lanesket/llm.log/main/.agents/skills/frontend-design/SKILL.mdgit clone --depth 1 https://github.com/lanesket/llm.logWrote 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/lanesket/llm.log/frontend-design)<a href="https://agentmods.dev/skills/lanesket/llm.log/frontend-design"><img src="https://agentmods.dev/badge/skills/lanesket/llm.log/frontend-design.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 | $0.00047 | $0.01990 |
| Opus 5 | $0.00023 | $0.00995 |
| Sonnet 5 | $0.00009 | $0.00398 |
| Haiku 4.5 | $0.00005 | $0.00199 |
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 8d 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
95% identical to frontend-design — 20 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.
How it starts
The opening of the file, as written. The whole thing — 147 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 skills produce generic output without project context. You MUST have confirmed design context before doing any design work.
Required context — every design skill needs at minimum:
- Target audience: Who uses this product and in what context?
- Use cases: What jobs are they trying to get done?
- Brand personality/tone: How should the interface feel?
Individual skills may require additional context — check the skill's preparation section for specifics.
CRITICAL: You cannot infer this context by reading the codebase. Code tells you what was built, not who it's for or what it should feel like. Only the creator can provide this context.
Gathering order:
- Check current instructions (instant): If your loaded instructions already contain a Design Context section, proceed immediately.
- Check .impeccable.md (fast): If not in instructions, read
.impeccable.mdfrom the project root. If it exists and contains the required context, proceed. - Run teach-impeccable (REQUIRED): If neither source has context, you MUST run the teach-impeccable skill NOW before doing anything else. Do NOT skip this step. Do NOT attempt to infer context from the codebase instead.
Design Direction
Commit to a BOLD aesthetic direction:
- Purpose: What problem does this interface solve? Who uses it?
- 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, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
- Constraints: Technical requirements (framework, performance, accessibility).
- Differentiation: What makes this UNFORGETTABLE? What's the one thing someone will remember?
What ships with it
7 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.
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.
- 8d ago First seen · 147 lines · 47 tokens per session scan A 1e42f7830288
frontend-design is a skill published in the GitHub repository lanesket/llm.log (22 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 1,990 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to frontend-design, differing in 20 lines, and is treated as a copy.
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